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Job Description
Job Objectives
Analyze and translate business, regulatory, and analytics requirements into scalable data and solution designs. Drive effective stakeholder communication, effort estimation, and validation processes, while enabling data architectures and curation strategies that support reporting, analytics, and AI/NLP-driven use cases.
Key Responsibilities
- Perform detailed effort estimation for projects and change requests.
- Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
- Review and approve test strategies, functional test cases, and data validation approaches.
- Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
- Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases
- Analyze business and regulatory requirements and translate them into scalable solution designs.
- Perform detailed effort estimation for projects and change requests.
- Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
- Review and approve test strategies, functional test cases, and data validation approaches.
- Ability to design data architectures supporting NLP and AI‑driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.
- Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
- Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases
Key Skills:
Requirement Analysis & Solution Design
Data Architecture & Data Modeling
AI / NLP Use Case Enablement
Testing & Data Validation
Stakeholder Communication
Effort Estimation & Planning
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0
Data Center Operation Technician, Data Center Operations
Singapore
Amazon
Posted 19 days ago
Job Viewed
Job Description
Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon Web Services (AWS) is growing rapidly, and we are looking for Data Center Technician to join our expanding Infrastructure Operations team.
Data Center Operations designs, installs and maintains the world's largest Computing Infrastructure. Our scope of work includes systems, repairing, dealing with issues, handling and tracking parts and assisting in Data Center maintenance. Amazon Data Centers are large-scale high-density centers where you will help change the face of Technology in the region
Key job responsibilities
In this role as a Data Center Operations Technician, you will be responsible for the on-site management of hardware lifecycle of our IT infrastructure that includes:
- You will work as part of the Operations team; whose primary responsibility is the maintenance and upkeep of the data center infrastructure.
- Your role and responsibilities include, but are not limited to, server rack installation, hardware break-fix on various components, troubleshooting network issues also responding to emergent situations that affect operational stability.
- You will work and meet SLAs against assigned trouble tickets via a directed workflow, be the first line touch point for hardware troubleshooting and technical issues.
- You will perform on-call duties and will participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
- You will participate in team meetings for metric analysis and to discuss achieving daily/weekly goals.
- You have the knowledge of the policies and procedures, including safety and security, within your department, and understand the appropriate application of such knowledge
- You will contribute to documentation on technical issues through root cause analysis for operational issues that occur, and contribute to process improvement initiatives relevant to the data center environment.
- More experienced technicians may assist in training less experienced members of the team.
- Involves covering 24x7 shift rotation
A day in the life
You will support DC (Data Center) infrastructure equipment (e.g. racks, servers, networking devices, hardware components, cables, etc.),
You will follow the instructions ticket-based environment and work on systematic problem resolution and perform routine operation activities on hardware, or spare parts, including rack install, server break/fix, rack decom etc.
You will perform on-call duties and will participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
Show a strong aptitude for troubleshooting and problem solving
You will be involved with site management and maintain tidiness in operation areas
Your role involves covering 24x7 shift rotation
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Computer/Server hardware troubleshooting experience required
- Computer networking including Fiber troubleshooting experience and theory
- Min. 2+ years experience in relevant field
Preferred Qualifications
- LINUX Operating System, Hardware or Networking certifications.
- Knowledge in cloud computing environments.
- Understanding of IT service management and Data Center environment safety and security.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon Web Services (AWS) is growing rapidly, and we are looking for Data Center Technician to join our expanding Infrastructure Operations team.
Data Center Operations designs, installs and maintains the world's largest Computing Infrastructure. Our scope of work includes systems, repairing, dealing with issues, handling and tracking parts and assisting in Data Center maintenance. Amazon Data Centers are large-scale high-density centers where you will help change the face of Technology in the region
Key job responsibilities
In this role as a Data Center Operations Technician, you will be responsible for the on-site management of hardware lifecycle of our IT infrastructure that includes:
- You will work as part of the Operations team; whose primary responsibility is the maintenance and upkeep of the data center infrastructure.
- Your role and responsibilities include, but are not limited to, server rack installation, hardware break-fix on various components, troubleshooting network issues also responding to emergent situations that affect operational stability.
- You will work and meet SLAs against assigned trouble tickets via a directed workflow, be the first line touch point for hardware troubleshooting and technical issues.
- You will perform on-call duties and will participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
- You will participate in team meetings for metric analysis and to discuss achieving daily/weekly goals.
- You have the knowledge of the policies and procedures, including safety and security, within your department, and understand the appropriate application of such knowledge
- You will contribute to documentation on technical issues through root cause analysis for operational issues that occur, and contribute to process improvement initiatives relevant to the data center environment.
- More experienced technicians may assist in training less experienced members of the team.
- Involves covering 24x7 shift rotation
A day in the life
You will support DC (Data Center) infrastructure equipment (e.g. racks, servers, networking devices, hardware components, cables, etc.),
You will follow the instructions ticket-based environment and work on systematic problem resolution and perform routine operation activities on hardware, or spare parts, including rack install, server break/fix, rack decom etc.
You will perform on-call duties and will participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
Show a strong aptitude for troubleshooting and problem solving
You will be involved with site management and maintain tidiness in operation areas
Your role involves covering 24x7 shift rotation
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Computer/Server hardware troubleshooting experience required
- Computer networking including Fiber troubleshooting experience and theory
- Min. 2+ years experience in relevant field
Preferred Qualifications
- LINUX Operating System, Hardware or Networking certifications.
- Knowledge in cloud computing environments.
- Understanding of IT service management and Data Center environment safety and security.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Apply Now
1
Data Center Systems Engineer , Data Center Operations
Singapore
Amazon
Posted 19 days ago
Job Viewed
Job Description
Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Do you have a passion to install, deploy, service and maintain mission critical IT infrastructure in one of the world's largest and fastest-growing cloud data centers? Are you looking to expand your horizon in an exciting and dynamic work environment that encourages creativity and boundless opportunities for career development? Do you enjoy solving problems and delivering value-adding results?
If you answered yes to any of these questions, then Amazon Web Services Data Center is the place to be!
In this role as a Data Center Operations Engineer (DCO Engineer), you will be responsible for the on-site management of hardware lifecycle of our Singapore IT infrastructure.
You will troubleshoot technical issues on advanced hardware, ranging from servers, storage and networking devices on a 24/7 basis. Working with key technical subject matter experts, you will have the opportunity to participate in the design, implementation and commissioning of our advanced IT infrastructure. Drive & implement projects to enhance operational efficiencies with opportunities to share experiences and knowledge with our global network of technical experts.
As a successful DataCenter Systems Engineer, your day-to-day work will include:
- Installation and configurations on Data center Servers and Network systems
- Installation, troubleshooting and replacement of internal and external hardware parts of Servers and Network devices
- Perform storage media (HDD, SSD etc.) sanitization and destruction tasks
- Work within a ticket-based environment and work on systematic problem resolution
- Movement of equipment with assisted machinery.
- Work on rotational shift-based schedule to maintain high system reliability by prioritizing trouble tickets
- Collaborate with internal teams (DC operations, DC Engineering, Logistics, Security, Projects etc.) sharing ideas and contribute in innovative projects to improve DC work environment and overall efficiencies.
- Participate, lead and deliver small to mid-scale projects including new Data Center rollout
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 1+ years of computer networking experience
- 1+ years of Linux operating systems experience
- Bachelor's degree in Information Technology, Computer Science, or a related field
- Experience in computer networking
- Experience working with Linux operating systems
- Can lift and rack equipment up to 40 pounds
- Experience with computer hardware troubleshooting and repair
Preferred Qualifications
- Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
- Experience managing work and priorities through a ticketing system
- Experience with cabling infrastructure best practices and methodologies
- Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Do you have a passion to install, deploy, service and maintain mission critical IT infrastructure in one of the world's largest and fastest-growing cloud data centers? Are you looking to expand your horizon in an exciting and dynamic work environment that encourages creativity and boundless opportunities for career development? Do you enjoy solving problems and delivering value-adding results?
If you answered yes to any of these questions, then Amazon Web Services Data Center is the place to be!
In this role as a Data Center Operations Engineer (DCO Engineer), you will be responsible for the on-site management of hardware lifecycle of our Singapore IT infrastructure.
You will troubleshoot technical issues on advanced hardware, ranging from servers, storage and networking devices on a 24/7 basis. Working with key technical subject matter experts, you will have the opportunity to participate in the design, implementation and commissioning of our advanced IT infrastructure. Drive & implement projects to enhance operational efficiencies with opportunities to share experiences and knowledge with our global network of technical experts.
As a successful DataCenter Systems Engineer, your day-to-day work will include:
- Installation and configurations on Data center Servers and Network systems
- Installation, troubleshooting and replacement of internal and external hardware parts of Servers and Network devices
- Perform storage media (HDD, SSD etc.) sanitization and destruction tasks
- Work within a ticket-based environment and work on systematic problem resolution
- Movement of equipment with assisted machinery.
- Work on rotational shift-based schedule to maintain high system reliability by prioritizing trouble tickets
- Collaborate with internal teams (DC operations, DC Engineering, Logistics, Security, Projects etc.) sharing ideas and contribute in innovative projects to improve DC work environment and overall efficiencies.
- Participate, lead and deliver small to mid-scale projects including new Data Center rollout
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 1+ years of computer networking experience
- 1+ years of Linux operating systems experience
- Bachelor's degree in Information Technology, Computer Science, or a related field
- Experience in computer networking
- Experience working with Linux operating systems
- Can lift and rack equipment up to 40 pounds
- Experience with computer hardware troubleshooting and repair
Preferred Qualifications
- Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
- Experience managing work and priorities through a ticketing system
- Experience with cabling infrastructure best practices and methodologies
- Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Apply Now
2
Job Description
**Introduction**
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
**Your role and responsibilities**
We are seeking a Senior Data Architect with deep hands‑on expertise in Databricks and/or Snowflake to support both pre‑sales and delivery within our services organization. This role combines solution architecture, client engagement, delivery leadership, and AI‑focused data strategy. Expected time split: 40% sales support, 60% delivery.
Key Responsibilities
- Support sales by shaping solutions, responding to RFPs/RFIs, and presenting demos and architectures.
- Partner with senior client stakeholders to define data strategy, platform design, and technology direction.
- Lead end‑to‑end data platform implementations on Databricks/Snowflake, ensuring scalable and high‑quality delivery.
- Align data architecture with AI/ML initiatives and guide clients on data readiness for AI.
- Mentor and develop data engineering and architecture teams.
- Contribute to internal best practices, reference architectures, and reusable assets.
**Required technical and professional expertise**
- 15+ years in data architecture or data engineering.
- Proven consulting/services experience and ability to influence senior client stakeholders.
- Strong pre‑sales experience including solution creation and RFP responses.
- Hands‑on leadership of large data platform implementations
Must‑Have Technical Skills
- Deep expertise in Databricks and/or Snowflake.
- Strong cloud knowledge (AWS, Azure, or GCP).
- Data modelling, Spark, SQL, ETL/ELT, and orchestration tools.
- Understanding of data governance, security, and modern data platform design.
- Knowledge of AI/ML requirements and how data platforms enable them.
**Preferred technical and professional experience**
- Experience with lakehouse architectures, MLflow, Delta Lake, Snowpark, Snowpipe, or similar.
- Knowledge of MLOps, data observability, DevOps/CI-CD, and BI tools.
- Cloud or platform certifications.
Key Attributes
- Excellent communication, client‑facing abilities, and solution articulation.
- Hands‑on, consultative, and able to lead teams and delivery.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
**Your role and responsibilities**
We are seeking a Senior Data Architect with deep hands‑on expertise in Databricks and/or Snowflake to support both pre‑sales and delivery within our services organization. This role combines solution architecture, client engagement, delivery leadership, and AI‑focused data strategy. Expected time split: 40% sales support, 60% delivery.
Key Responsibilities
- Support sales by shaping solutions, responding to RFPs/RFIs, and presenting demos and architectures.
- Partner with senior client stakeholders to define data strategy, platform design, and technology direction.
- Lead end‑to‑end data platform implementations on Databricks/Snowflake, ensuring scalable and high‑quality delivery.
- Align data architecture with AI/ML initiatives and guide clients on data readiness for AI.
- Mentor and develop data engineering and architecture teams.
- Contribute to internal best practices, reference architectures, and reusable assets.
**Required technical and professional expertise**
- 15+ years in data architecture or data engineering.
- Proven consulting/services experience and ability to influence senior client stakeholders.
- Strong pre‑sales experience including solution creation and RFP responses.
- Hands‑on leadership of large data platform implementations
Must‑Have Technical Skills
- Deep expertise in Databricks and/or Snowflake.
- Strong cloud knowledge (AWS, Azure, or GCP).
- Data modelling, Spark, SQL, ETL/ELT, and orchestration tools.
- Understanding of data governance, security, and modern data platform design.
- Knowledge of AI/ML requirements and how data platforms enable them.
**Preferred technical and professional experience**
- Experience with lakehouse architectures, MLflow, Delta Lake, Snowpark, Snowpipe, or similar.
- Knowledge of MLOps, data observability, DevOps/CI-CD, and BI tools.
- Cloud or platform certifications.
Key Attributes
- Excellent communication, client‑facing abilities, and solution articulation.
- Hands‑on, consultative, and able to lead teams and delivery.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Is this job a match or a miss?
Apply Now
3
Director, AI & Data Strategy - Technical Product Management for Responsible AI - Commercialization
Singapore
Mastercard
Posted 19 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, AI & Data Strategy - Technical Product Management for Responsible AI - Commercialization
As a Director level Technical Product Manager for Responsible AI within the AI Governance team, you will lead the transformation of internal Responsible AI capabilities into customer-ready products and consulting offerings. Your mandate is to productionize Responsible AI tooling so it is scalable, supportable, robust, and packaged into an offering for global enterprise firms in highly regulated industries.
You will own the technical product direction for Responsible AI platforms while also providing solution architecture leadership to ensure Responsible AI expectations translate into deployable, auditable, and commercially viable solutions. This role operates at the intersection of engineering, governance, and go to market execution.
You will partner closely with internal AI, platform, legal, compliance, and consulting teams and possibly externally with customers, regulators, and ecosystem partners to shape repeatable Responsible AI products and services that can be delivered consistently across jurisdictions and infrastructure environments.
Role Overview
This role combines technical product management, solution architecture, and commercialization leadership for Responsible AI capabilities.
As the Technical Product Owner
You are accountable for converting internal Responsible AI tooling into adoption ready and market facing offerings. This includes defining product boundaries, maturity standards, documentation, service offerings and ongoing success required for client deployment . You balance governance rigor with usability, scalability, and delivery feasibility.
As the Solution Shaping Architect
You work early with customers, regulators, and delivery teams to define end to end Responsible AI solutions that operate within real world constraints such as cloud, on premises, sovereign, and hybrid environments and that align with regulatory, contractual, and operational expectations.
You lead through influence by aligning engineering, governance, legal, compliance, and delivery teams to make decisions under ambiguity and ensure Responsible AI products can be sold, deployed, operated, and maintained at scale.
Key Responsibilities
Technical Product Management Responsible AI Commercialization
Collaborate with internal teams to define the productization strategy for Responsible AI tooling, evolving internal platforms and prototypes into sellable products or consulting accelerators.
Define and manage technical product requirements including epics, acceptance criteria, and dependencies with an explicit focus on external usability, operability, and governance defensibility.
Establish product standards for commercial readiness including documentation, audit evidence, configuration guidance, versioning, and support and operating models.
Translate complex data science and Responsible AI concepts into clear client ready value propositions and provide precise direction to engineering teams.
Track outcomes and adoption signals to identify when Responsible AI tools or services require refinement, modularization, repositioning, or retirement.
Solution Architecture Deployable and Client Ready Responsible AI
Engage directly with customers, government agencies, regulators, and partners to understand deployment environments, security models, regulatory requirements, and operational constraints.
Design end to end Responsible AI by design systems that integrate data pipelines, models or large language models, orchestration layers, APIs, monitoring, human oversight, and documentation.
Translate governance and regulatory expectations into implementable system designs with clear operational controls, accountability, and evidence generation.
Define and promote reusable reference architectures, architectural patterns, and delivery playbooks that support repeatable client implementations.
Partner with privacy, security, and governance teams to ensure solutions are approval-ready and defensible during regulatory scrutiny, audits, and client due diligence.
Provide architectural guidance, design intent, and decision rationale to delivery teams responsible for implementation and client rollout.
Go to Market Enablement and Stakeholder Leadership
Partner with commercial, consulting, and delivery teams to ensure Responsible AI offerings are clearly scoped, repeatable, and scalable.
Advise stakeholders on trade offs across risk, scalability, explainability, delivery effort, and long term operational burden in client environments.
Act as a trusted advisor to senior leaders by bridging policy intent, technical feasibility, and commercial execution.
Drive alignment across engineering, governance, legal, compliance, and operations teams and resolve conflicts to enable execution without formal authority.
All About You
Must Have
A strong academic background in Computer Science, Data Science, Engineering, Mathematics, Statistics, or equivalent practical experience.
Hands on experience building, testing, approving, and deploying data science or AI systems including post deployment lifecycle management.
Demonstrated success delivering production grade AI platforms or tooling intended for external use.
Experience working directly with external stakeholders such as customers, government agencies, regulators, vendors, or systems integrators.
Proven ability to operate in ambiguous environments, drive decisions through influence, and communicate clearly with both technical and non technical audiences.
Technical Skills
Experience building or scaling Responsible AI or AI governance tooling for external use.
Experience designing or integrating governance capabilities including monitoring, documentation, approval workflows, and lifecycle controls.
An understanding of the responsible AI marketplace and key products within the domain
Long term work eligibility for Singapore.
Preferred
Understanding of Python, SQL, and modern machine learning platforms such as Azure Machine Learning, Databricks, or SageMaker.
Familiarity with machine learning frameworks, data pipelines, model evaluation practices, and software architecture principles.
Experience contributing to centers of excellence, platform teams, or internal capability building initiatives that support multiple business units or clients.
Success Measures
Internal Responsible AI tools successfully transformed into adoption ready and client deployable products or consulting accelerators.
Clear product roadmaps and maturity models that support repeatable delivery at scale.
Successful deployment of Responsible AI solutions across diverse customer infrastructure environments.
Reuse of Responsible AI reference architectures, architectural patterns, and delivery playbooks across engagements and regions.
Increased confidence in the organization's ability to operationalize Responsible AI commercially.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, AI & Data Strategy - Technical Product Management for Responsible AI - Commercialization
As a Director level Technical Product Manager for Responsible AI within the AI Governance team, you will lead the transformation of internal Responsible AI capabilities into customer-ready products and consulting offerings. Your mandate is to productionize Responsible AI tooling so it is scalable, supportable, robust, and packaged into an offering for global enterprise firms in highly regulated industries.
You will own the technical product direction for Responsible AI platforms while also providing solution architecture leadership to ensure Responsible AI expectations translate into deployable, auditable, and commercially viable solutions. This role operates at the intersection of engineering, governance, and go to market execution.
You will partner closely with internal AI, platform, legal, compliance, and consulting teams and possibly externally with customers, regulators, and ecosystem partners to shape repeatable Responsible AI products and services that can be delivered consistently across jurisdictions and infrastructure environments.
Role Overview
This role combines technical product management, solution architecture, and commercialization leadership for Responsible AI capabilities.
As the Technical Product Owner
You are accountable for converting internal Responsible AI tooling into adoption ready and market facing offerings. This includes defining product boundaries, maturity standards, documentation, service offerings and ongoing success required for client deployment . You balance governance rigor with usability, scalability, and delivery feasibility.
As the Solution Shaping Architect
You work early with customers, regulators, and delivery teams to define end to end Responsible AI solutions that operate within real world constraints such as cloud, on premises, sovereign, and hybrid environments and that align with regulatory, contractual, and operational expectations.
You lead through influence by aligning engineering, governance, legal, compliance, and delivery teams to make decisions under ambiguity and ensure Responsible AI products can be sold, deployed, operated, and maintained at scale.
Key Responsibilities
Technical Product Management Responsible AI Commercialization
Collaborate with internal teams to define the productization strategy for Responsible AI tooling, evolving internal platforms and prototypes into sellable products or consulting accelerators.
Define and manage technical product requirements including epics, acceptance criteria, and dependencies with an explicit focus on external usability, operability, and governance defensibility.
Establish product standards for commercial readiness including documentation, audit evidence, configuration guidance, versioning, and support and operating models.
Translate complex data science and Responsible AI concepts into clear client ready value propositions and provide precise direction to engineering teams.
Track outcomes and adoption signals to identify when Responsible AI tools or services require refinement, modularization, repositioning, or retirement.
Solution Architecture Deployable and Client Ready Responsible AI
Engage directly with customers, government agencies, regulators, and partners to understand deployment environments, security models, regulatory requirements, and operational constraints.
Design end to end Responsible AI by design systems that integrate data pipelines, models or large language models, orchestration layers, APIs, monitoring, human oversight, and documentation.
Translate governance and regulatory expectations into implementable system designs with clear operational controls, accountability, and evidence generation.
Define and promote reusable reference architectures, architectural patterns, and delivery playbooks that support repeatable client implementations.
Partner with privacy, security, and governance teams to ensure solutions are approval-ready and defensible during regulatory scrutiny, audits, and client due diligence.
Provide architectural guidance, design intent, and decision rationale to delivery teams responsible for implementation and client rollout.
Go to Market Enablement and Stakeholder Leadership
Partner with commercial, consulting, and delivery teams to ensure Responsible AI offerings are clearly scoped, repeatable, and scalable.
Advise stakeholders on trade offs across risk, scalability, explainability, delivery effort, and long term operational burden in client environments.
Act as a trusted advisor to senior leaders by bridging policy intent, technical feasibility, and commercial execution.
Drive alignment across engineering, governance, legal, compliance, and operations teams and resolve conflicts to enable execution without formal authority.
All About You
Must Have
A strong academic background in Computer Science, Data Science, Engineering, Mathematics, Statistics, or equivalent practical experience.
Hands on experience building, testing, approving, and deploying data science or AI systems including post deployment lifecycle management.
Demonstrated success delivering production grade AI platforms or tooling intended for external use.
Experience working directly with external stakeholders such as customers, government agencies, regulators, vendors, or systems integrators.
Proven ability to operate in ambiguous environments, drive decisions through influence, and communicate clearly with both technical and non technical audiences.
Technical Skills
Experience building or scaling Responsible AI or AI governance tooling for external use.
Experience designing or integrating governance capabilities including monitoring, documentation, approval workflows, and lifecycle controls.
An understanding of the responsible AI marketplace and key products within the domain
Long term work eligibility for Singapore.
Preferred
Understanding of Python, SQL, and modern machine learning platforms such as Azure Machine Learning, Databricks, or SageMaker.
Familiarity with machine learning frameworks, data pipelines, model evaluation practices, and software architecture principles.
Experience contributing to centers of excellence, platform teams, or internal capability building initiatives that support multiple business units or clients.
Success Measures
Internal Responsible AI tools successfully transformed into adoption ready and client deployable products or consulting accelerators.
Clear product roadmaps and maturity models that support repeatable delivery at scale.
Successful deployment of Responsible AI solutions across diverse customer infrastructure environments.
Reuse of Responsible AI reference architectures, architectural patterns, and delivery playbooks across engagements and regions.
Increased confidence in the organization's ability to operationalize Responsible AI commercially.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Is this job a match or a miss?
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4
Job Description
The **Lead Data Scientist - Underwriting** is a senior leadership role responsible for driving **regional and BU-level AI, ML, and Generative AI solutions** to transform underwriting decision-making across Asia. This role combines **deep technical expertise, people leadership, and strong business partnership** to deliver scalable, compliant, and value-generating underwriting capabilities.
You will **lead and grow a team of data scientists** focused on underwriting AI, while also acting as a hands-on technical leader shaping advanced predictive, prescriptive, and generative solutions. The role partners closely with underwriting, risk, technology, and regional stakeholders, and supports the **Chief AI Officer** in delivering the Asia AI Value agenda and building world-class, revenue-generating analytics.
**Position Responsibilities:**
**Technical & Business Leadership**
+ Lead the **design, development, and deployment** of AI, ML, and **Generative AI** solutions supporting underwriting use cases, including:
+ Underwriting summarization and document intelligence
+ Risk assessment and decision support
+ Straight-through processing (STP) and workflow automation
+ Data-driven underwriting rules optimization
+ Translate complex underwriting and business problems into **scalable analytical and GenAI solutions** with measurable business outcomes.
+ Drive adoption of AI solutions by embedding them into **end-to-end underwriting workflows** , ensuring usability, governance, and regulatory compliance.
+ Partner with reinsurers, vendors, and external technology providers to co-develop or integrate advanced underwriting solutions.
+ **Lead, coach, and develop a high-performing team of data scientists** focused on underwriting AI and analytics.
**Generative AI & Advanced Analytics**
+ Lead the application of **AI and especially GenAI** in underwriting, including:
+ Large Language Models (LLMs) for text-heavy underwriting data (e.g., medical reports, financial statements, applications)
+ Prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks
+ Model orchestration, guardrails, and human-in-the-loop designs
+ Ensure AI solutions are **responsible, explainable, auditable, and compliant** with internal AI governance and regulatory expectations.
+ Establish standards for **model lifecycle management** , performance monitoring, and value tracking for AI and GenAI solutions.
**Strategy, Governance & Stakeholder Management**
+ Contribute to **AI and data strategy** , focusing on data optimization, monetization, and external data enrichment.
+ Collaborate with global and regional teams to define **common modeling standards, governance, and reusable AI assets** , aligned with AI CoE guidelines.
+ Maintain a regional/global **model repository** to track models in use, performance, and risks.
+ Act as a trusted advisor to underwriting and business leaders, influencing prioritization and investment decisions.
+ Proactively identify risks, data challenges, and stakeholder conflicts, and drive alignment and mitigation plans.
**Required Qualifications:**
+ 10+ years of experience in **AI, machine learning, or advanced analytics** , preferably within financial services.
+ Strong underwriting, insurance, or reinsurance domain knowledge (highly preferred).
+ Proven experience leading complex analytics initiatives in **highly regulated environments** .
**Technical & GenAI Skills**
+ Strong hands-on expertise in **ML/statistical modeling** , segmentation, and underwriting or claims analytics.
+ Advanced proficiency in **Python, SQL** , and common data science toolchains (R, SAS a plus).
+ Practical experience with **Generative AI** , including:
+ Large Language Models (LLMs)
+ Prompt engineering and RAG architectures
+ Model evaluation, bias mitigation, and explainability
+ AI governance and responsible AI practices
+ Experience with **cloud and big data platforms** (e.g., Azure, Spark, Databricks, Hadoop).
+ Strong understanding of deploying models into production, including monitoring and lifecycle management.
**Leadership & Communication**
+ Demonstrated ability to **lead and scale teams** , mentor data scientists, and manage ambiguity.
+ Strong stakeholder management skills with the ability to influence senior leaders across regions.
+ Excellent communication and presentation skills, translating technical concepts into business language.
**When you join our team:**
+ **We'll empower you to learn and grow the career you want.**
+ **We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.**
+ **As part of our global team, we'll support you in shaping the future you want to see.**
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Modalidades de Trabajo**
Híbrido
You will **lead and grow a team of data scientists** focused on underwriting AI, while also acting as a hands-on technical leader shaping advanced predictive, prescriptive, and generative solutions. The role partners closely with underwriting, risk, technology, and regional stakeholders, and supports the **Chief AI Officer** in delivering the Asia AI Value agenda and building world-class, revenue-generating analytics.
**Position Responsibilities:**
**Technical & Business Leadership**
+ Lead the **design, development, and deployment** of AI, ML, and **Generative AI** solutions supporting underwriting use cases, including:
+ Underwriting summarization and document intelligence
+ Risk assessment and decision support
+ Straight-through processing (STP) and workflow automation
+ Data-driven underwriting rules optimization
+ Translate complex underwriting and business problems into **scalable analytical and GenAI solutions** with measurable business outcomes.
+ Drive adoption of AI solutions by embedding them into **end-to-end underwriting workflows** , ensuring usability, governance, and regulatory compliance.
+ Partner with reinsurers, vendors, and external technology providers to co-develop or integrate advanced underwriting solutions.
+ **Lead, coach, and develop a high-performing team of data scientists** focused on underwriting AI and analytics.
**Generative AI & Advanced Analytics**
+ Lead the application of **AI and especially GenAI** in underwriting, including:
+ Large Language Models (LLMs) for text-heavy underwriting data (e.g., medical reports, financial statements, applications)
+ Prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks
+ Model orchestration, guardrails, and human-in-the-loop designs
+ Ensure AI solutions are **responsible, explainable, auditable, and compliant** with internal AI governance and regulatory expectations.
+ Establish standards for **model lifecycle management** , performance monitoring, and value tracking for AI and GenAI solutions.
**Strategy, Governance & Stakeholder Management**
+ Contribute to **AI and data strategy** , focusing on data optimization, monetization, and external data enrichment.
+ Collaborate with global and regional teams to define **common modeling standards, governance, and reusable AI assets** , aligned with AI CoE guidelines.
+ Maintain a regional/global **model repository** to track models in use, performance, and risks.
+ Act as a trusted advisor to underwriting and business leaders, influencing prioritization and investment decisions.
+ Proactively identify risks, data challenges, and stakeholder conflicts, and drive alignment and mitigation plans.
**Required Qualifications:**
+ 10+ years of experience in **AI, machine learning, or advanced analytics** , preferably within financial services.
+ Strong underwriting, insurance, or reinsurance domain knowledge (highly preferred).
+ Proven experience leading complex analytics initiatives in **highly regulated environments** .
**Technical & GenAI Skills**
+ Strong hands-on expertise in **ML/statistical modeling** , segmentation, and underwriting or claims analytics.
+ Advanced proficiency in **Python, SQL** , and common data science toolchains (R, SAS a plus).
+ Practical experience with **Generative AI** , including:
+ Large Language Models (LLMs)
+ Prompt engineering and RAG architectures
+ Model evaluation, bias mitigation, and explainability
+ AI governance and responsible AI practices
+ Experience with **cloud and big data platforms** (e.g., Azure, Spark, Databricks, Hadoop).
+ Strong understanding of deploying models into production, including monitoring and lifecycle management.
**Leadership & Communication**
+ Demonstrated ability to **lead and scale teams** , mentor data scientists, and manage ambiguity.
+ Strong stakeholder management skills with the ability to influence senior leaders across regions.
+ Excellent communication and presentation skills, translating technical concepts into business language.
**When you join our team:**
+ **We'll empower you to learn and grow the career you want.**
+ **We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.**
+ **As part of our global team, we'll support you in shaping the future you want to see.**
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Modalidades de Trabajo**
Híbrido
Is this job a match or a miss?
Apply Now
5
Lead, Data Centre Engineering Support
Singapore
ST Telemedia Global Data Centres
Posted 10 days ago
Job Viewed
Job Description
About STT GDC
Be part of a global leader in data centre solutions
ST Telemedia Global Data Centres (STT GDC) is a data centre provider headquartered in Singapore, with a global footprint in major business markets across Singapore, the United Kingdom, Germany, Italy, India, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam. We harness cutting-edge technology to deliver a comprehensive suite of world-class, scalable and flexible data centre solutions, including connectivity and support services, designed to meet the evolving colocation needs of today and tomorrow. By joining our team, you’ll be part of a dynamic, fast-growing industry that forms the cornerstone of today’s digital world.
Why STT GDC
STT GDC’s internal culture is built on creating a forward-thinking, socially responsible environment that ignites positive change. We empower our employees to thrive in a workplace defined by excellence, innovation and growth, where collaboration and creativity can flourish.
Empathy-driven culture: We lead with compassion and understanding, fostering a supportive and inclusive environment that values your well-being and voice.
Collaborative and vibrant workplace: We celebrate diversity and the power of teamwork. We value every idea and strive for constant improvement through collective innovation
Opportunities for growth: At STT GDC, we don’t just offer roles – we cultivate long-term career pathways. Through professional development programs, mentorships and stretch assignments, we are committed to enabling you to grow and reach your full potential.
Key Duties and Responsibilities
As Lead, Data Centre Engineering Support (DCES), you will collaborate with cross-functional stakeholders to ensure cost efficiency, optimal performance, and alignment of energy and water optimisation initiatives with business objectives.
- Serve as the Subject Matter Expert (SME) for Mechanical, Electrical, BMS, and security systems for Singapore Data Centre operations.
- Champion the Problem Management process and act as a rotating duty Incident Manager in accordance with ITIL framework.
- Drive energy audits, optimisation programmes, engineering and retrofitting initiatives, as well as financial evaluation of energy efficiency measures.
- Oversee and be accountable for the procurement of technical services and works, including contract management and administration of service agreements and renewals.
- Act as program manager for all technical certification programmes (e.g., ANSI/TIA-942, Green Mark, ISO), from planning through to certification.
- Collaborate with the Technology & Project Delivery team to enhance maintainability and build quality.
- Develop, review, and validate technical policies, processes, procedures, and work instructions, including maintenance frameworks and best practices.
- Establish frameworks to ensure full compliance with applicable Acts, regulations, standards and approved codes of practice relating to building operations.
- Drive technical learning and development initiatives across Singapore Data Centres.
- Support customer technical audits and provide relevant management information as required.
- Any other duties or projects as assigned by the Management.
Requirements
- Diploma in Mechanical & Electrical Engineering, Facilities Management or related field
- At least 3 years of relevant work experience in managing critical facilities development or operations, as well as project management in 24x7 data centre environment
- Strong knowledge in MEP operations and building facilities systems (e.g. switchgears, UPS, generators, CRAUs, chiller plants, etc.)
- Experienced in leading certification programs, including ANSI/TIA-942, Uptime, BCA-IMDA Green Mark for Data Centres, SS 564, LEED and ISO.
- Relevant certifications in energy and environmental management (e.g. SCEM, SGBC Green Mark Professional, LEED GA/AP) will be an advantage.
- Professional certifications (e.g., CDFOS, CDCS, ITIL or other related certification) are preferred.
- Strong stakeholder management and communication skills.
- Ability to work independently and perform effectively under tight timelines.
Is this job a match or a miss?
Apply Now
6
Director, Group Data Centre Operations
Singapore
ST Telemedia Global Data Centres
Posted 19 days ago
Job Viewed
Job Description
About STT GDC
Be part of a global leader in data centre solutions
ST Telemedia Global Data Centres (STT GDC) is a data centre provider headquartered in Singapore, with a global footprint in major business markets across Singapore, the United Kingdom, Germany, Italy, India, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam. We harness cutting-edge technology to deliver a comprehensive suite of world-class, scalable and flexible data centre solutions, including connectivity and support services, designed to meet the evolving colocation needs of today and tomorrow. By joining our team, you’ll be part of a dynamic, fast-growing industry that forms the cornerstone of today’s digital world.
Why STT GDC
STT GDC’s internal culture is built on creating a forward-thinking, socially responsible environment that ignites positive change. We empower our employees to thrive in a workplace defined by excellence, innovation and growth, where collaboration and creativity can flourish.
Empathy-driven culture: We lead with compassion and understanding, fostering a supportive and inclusive environment that values your well-being and voice.
Collaborative and vibrant workplace: We celebrate diversity and the power of teamwork. We value every idea and strive for constant improvement through collective innovation
Opportunities for growth: At STT GDC, we don’t just offer roles – we cultivate long-term career pathways. Through professional development programs, mentorships and stretch assignments, we are committed to enabling you to grow and reach your full potential.
Key Duties and Responsibilities
As Director, Group Data Centre Operations (GDCO), you are responsible for overseeing data centre operations across multiple countries and supporting various Group operational initiatives. This role requires a strong understanding of data centre operations, including M&E, network, security, capacity planning, and project management.
- Support Group initiatives to align policies, SOP baselines, and operational standards across STT GDC overseas data centres.
- Participate in operational deep‑dive discussions with overseas data centre teams and provide support as required.
- Support in‑country escalations and incident management, including participation in 24×7 WhatsApp escalation groups when needed.
- Provide audit support for both existing and new countries, including onsite walkthroughs and offsite documentation reviews.
- Drive training initiatives across all countries on Group policies and SOP baselines.
- Review operational documentation (e.g. SOPs, policies, EOPs) across all operational towers in each country.
- Support budget planning and reviews for all countries, including tracking and ensuring accuracy of projections.
- Assist in conducting internal audits to assess compliance with global policies and processes.
- Compile and analyse key operational metrics (e.g. capacity, manpower, M&E) across countries and prepare management reports.
- Support capacity planning requirements (power, cooling, space, network) for customer RFPs.
- Act as a liaison between operations and project construction teams for both greenfield and brownfield projects.
- Any other tasks as assigned by the Management
Requirements
- Degree in Computing, Electrical Engineering, Mechanical Engineering, or a related field.
- Minimum 10 - 15 years of operational experience, including at least 5 years managing the operations of a 24x7 critical data centre facility.
- Basic understanding of data centre telecommunications, networking, and remote hands services is an advantage.
- Strong knowledge of M&E and building facilities systems, including CRAUs, chillers, PDUs, UPS, switchgears operations, DX cooling, structured network cabling, and security systems.
- Certified or trained in ITIL, CCNA, CCNP, CDCP or equivalent qualifications.
- Strong communication skills; bilingual in both spoken and written forms.
- Proficient in Microsoft Office applications, including Outlook, Excel, Word and PowerPoint.
- Possess relevant facilities management and/or data centre related certifications, such as ITIL, CDCP, CDCS, etc
- Familiar with industry standards and certifications, including LEED Gold, ISO 2000 / 22301 / 27001, Uptime Institute Tier III, Green Mark and SS564.
- A strong team player who thrives in a fast‑paced and high‑pressure environment.
Is this job a match or a miss?
Apply Now
7
Director, AI & Data Strategy - Technical Product Management / Solution Architect for Responsible AI
Singapore
Mastercard
Posted 19 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, AI & Data Strategy - Technical Product Management / Solution Architect for Responsible AI
(Overview)
As a Director Level Technical Product Manager for Responsible AI (RAI) within the AI Governance team, you will own the technical product direction for RAI tooling while also providing solution architecture leadership to ensure Responsible AI expectations translate into deployable, scalable implementations across diverse environments.
You will collaborate with global teams to develop and maintain RAI and data science tools, define and manage technical requirements, and ensure RAI initiatives stay on track and deliver expected value. In parallel, you will engage with government agencies, regulators, and third‑party vendors to shape end‑to‑end architectures that embed accountability, documentation, oversight, and operational readiness by design.
(Role)
This role combines technical product management and solution‑shaping architecture for Responsible AI.
As the technical product owner, you translate Responsible AI tooling needs into clear requirements, roadmaps, and adoption‑ready releases-balancing usability, scalability, and governance defensibility.
As the solution architect, you work early with internal and external stakeholders to understand infrastructure constraints (on‑prem, cloud, sovereign, hybrid) and define practical end‑to‑end AI solution architectures that can operate within regulatory and operational realities.
You lead through influence-aligning business, engineering, legal, compliance, governance, and operations stakeholders, driving decisions in ambiguous environments, and pivoting when initiatives drift off course.
(Key Responsibilities)
Technical Product Management (RAI Tooling)
- Collaborate with global teams to develop and maintain Responsible AI and data science tools.
- Define and manage technical requirements (epics, acceptance criteria, dependencies) to meet RAI tooling needs.
- Translate data science concepts into business language for non‑technical audiences and explain constraints/priorities clearly to highly technical teams.
- Track outcomes and detect drift: assess whether RAI initiatives are delivering expected value; pivot by redefining scope, changing approach, or halting/redirecting when necessary.
Solution Architecture (RAI-by-design Implementation)
- Engage directly with government agencies, regulators, and third‑party vendors to understand infrastructure, deployment constraints, security models, and operating environments.
- Translate infrastructure realities into practical end‑to‑end AI solution architectures suited to the proposed use case and jurisdiction.
- Define end‑to‑end AI systems (data, models/LLMs, orchestration, APIs, monitoring) with accountability, human oversight, documentation, and operational readiness embedded by design.
- Define and promote reusable reference architectures, patterns, and playbooks that accelerate delivery and reduce friction across teams and partners.
- Partner with governance, privacy, and security teams to ensure solutions are approval‑ready, with clear evidence and traceability aligned to Responsible AI expectations.
- Provide architectural guidance, design intent, and decision rationale to delivery teams responsible for implementation and evidence generation.
Stakeholder Alignment & Decision Leadership
- Align diverse stakeholders (business, engineering, legal, compliance, governance, operations) and drive decisions in unclear or conflicting environments.
- Advise teams on trade‑offs (risk, scalability, explainability, operational burden) to ensure solutions are pragmatic and regionally scalable.
- Act as a trusted advisor to senior stakeholders, bridging policy, technology, and delivery conversations.
(All About You)
Must have
- Strong academic background in Computer Science, Data Science, Technology, Mathematics, Statistics (or equivalent experience).
- Experience building, testing, gaining approvals, and deploying data science projects; experience with post‑deployment model lifecycle management.
- Strong experience delivering complex AI/data/platform solutions in real‑world production environments, with the ability to translate ambiguous problems into well‑scoped initiatives.
- Demonstrated ability to work directly with external stakeholders (government agencies, regulators, vendors, systems integrators) across heterogeneous infrastructure setups.
- Ability to drive decisions and outcomes without authority, resolve conflicts between stakeholder groups, and communicate clearly to both technical and non‑technical audiences.
Technical skills
- Proficiency in Python, SQL, and ML platforms (e.g., Azure ML, Databricks, SageMaker); familiarity with ML frameworks, libraries, data structures, and software architecture.
- Long term work eligibility for Singapore
- Power Platform experience is a plus.
Preferred
- Experience supporting or shaping Responsible AI / AI governance or risk‑sensitive AI initiatives; familiarity with GenAI / LLM architectures in regulated or public‑sector contexts.
- Experience contributing to centres of excellence or regional capability‑building initiatives.
(Success Measures)
- RAI tools and technical capabilities shipped as adoption‑ready releases that meet governance needs and support consistent execution.
- A pipeline of well‑scoped Responsible AI initiatives that expand AI COE impact and adoption across the region.
- Successful adoption of architected AI solutions across varied government/vendor infrastructure environments.
- Reuse of Responsible AI architectural patterns and playbooks across engagements and jurisdictions.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, AI & Data Strategy - Technical Product Management / Solution Architect for Responsible AI
(Overview)
As a Director Level Technical Product Manager for Responsible AI (RAI) within the AI Governance team, you will own the technical product direction for RAI tooling while also providing solution architecture leadership to ensure Responsible AI expectations translate into deployable, scalable implementations across diverse environments.
You will collaborate with global teams to develop and maintain RAI and data science tools, define and manage technical requirements, and ensure RAI initiatives stay on track and deliver expected value. In parallel, you will engage with government agencies, regulators, and third‑party vendors to shape end‑to‑end architectures that embed accountability, documentation, oversight, and operational readiness by design.
(Role)
This role combines technical product management and solution‑shaping architecture for Responsible AI.
As the technical product owner, you translate Responsible AI tooling needs into clear requirements, roadmaps, and adoption‑ready releases-balancing usability, scalability, and governance defensibility.
As the solution architect, you work early with internal and external stakeholders to understand infrastructure constraints (on‑prem, cloud, sovereign, hybrid) and define practical end‑to‑end AI solution architectures that can operate within regulatory and operational realities.
You lead through influence-aligning business, engineering, legal, compliance, governance, and operations stakeholders, driving decisions in ambiguous environments, and pivoting when initiatives drift off course.
(Key Responsibilities)
Technical Product Management (RAI Tooling)
- Collaborate with global teams to develop and maintain Responsible AI and data science tools.
- Define and manage technical requirements (epics, acceptance criteria, dependencies) to meet RAI tooling needs.
- Translate data science concepts into business language for non‑technical audiences and explain constraints/priorities clearly to highly technical teams.
- Track outcomes and detect drift: assess whether RAI initiatives are delivering expected value; pivot by redefining scope, changing approach, or halting/redirecting when necessary.
Solution Architecture (RAI-by-design Implementation)
- Engage directly with government agencies, regulators, and third‑party vendors to understand infrastructure, deployment constraints, security models, and operating environments.
- Translate infrastructure realities into practical end‑to‑end AI solution architectures suited to the proposed use case and jurisdiction.
- Define end‑to‑end AI systems (data, models/LLMs, orchestration, APIs, monitoring) with accountability, human oversight, documentation, and operational readiness embedded by design.
- Define and promote reusable reference architectures, patterns, and playbooks that accelerate delivery and reduce friction across teams and partners.
- Partner with governance, privacy, and security teams to ensure solutions are approval‑ready, with clear evidence and traceability aligned to Responsible AI expectations.
- Provide architectural guidance, design intent, and decision rationale to delivery teams responsible for implementation and evidence generation.
Stakeholder Alignment & Decision Leadership
- Align diverse stakeholders (business, engineering, legal, compliance, governance, operations) and drive decisions in unclear or conflicting environments.
- Advise teams on trade‑offs (risk, scalability, explainability, operational burden) to ensure solutions are pragmatic and regionally scalable.
- Act as a trusted advisor to senior stakeholders, bridging policy, technology, and delivery conversations.
(All About You)
Must have
- Strong academic background in Computer Science, Data Science, Technology, Mathematics, Statistics (or equivalent experience).
- Experience building, testing, gaining approvals, and deploying data science projects; experience with post‑deployment model lifecycle management.
- Strong experience delivering complex AI/data/platform solutions in real‑world production environments, with the ability to translate ambiguous problems into well‑scoped initiatives.
- Demonstrated ability to work directly with external stakeholders (government agencies, regulators, vendors, systems integrators) across heterogeneous infrastructure setups.
- Ability to drive decisions and outcomes without authority, resolve conflicts between stakeholder groups, and communicate clearly to both technical and non‑technical audiences.
Technical skills
- Proficiency in Python, SQL, and ML platforms (e.g., Azure ML, Databricks, SageMaker); familiarity with ML frameworks, libraries, data structures, and software architecture.
- Long term work eligibility for Singapore
- Power Platform experience is a plus.
Preferred
- Experience supporting or shaping Responsible AI / AI governance or risk‑sensitive AI initiatives; familiarity with GenAI / LLM architectures in regulated or public‑sector contexts.
- Experience contributing to centres of excellence or regional capability‑building initiatives.
(Success Measures)
- RAI tools and technical capabilities shipped as adoption‑ready releases that meet governance needs and support consistent execution.
- A pipeline of well‑scoped Responsible AI initiatives that expand AI COE impact and adoption across the region.
- Successful adoption of architected AI solutions across varied government/vendor infrastructure environments.
- Reuse of Responsible AI architectural patterns and playbooks across engagements and jurisdictions.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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8
Enterprise Data Service Delivery - Data Technical Support Representative (Japanese), Singapore
Singapore
Bloomberg
Posted 18 days ago
Job Viewed
Job Description
Enterprise Data Service Delivery - Data Technical Support Representative (Japanese), Singapore
Location
Singapore
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
We're Bloomberg Enterprise Services - fast paced, innovative and expanding. We have worked hard and smart to become the successful business we are today. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. We provide a vast number of datasets that cover all asset classes, via multiple delivery technologies and flexible scheduling options. This means our clients get exactly the data they need, when they need it, in the format they prefer.
**The Role:**
We're looking for a passionate, motivated, service-orientated individual to join our team. You'll be trained to quickly and accurately identify problems, and then perform detailed and meaningful diagnostic and troubleshooting to identify the root cause. If needed, you'll escalate the issue internally, all whilst ensuring our clients receive an exceptional, seamless support experience.
You are professional and personable, curious and analytical, and excel in a diverse client facing team that provides round-the-clock support to our Enterprise Data clients. You're a solution-provider, with a passion for providing platinum technical support. You are able to get results by working closely with team members and colleagues around the organization, but are also not afraid of making independent decisions when situations demand. You are an aspiring leader who operates with high impact and is keen to demonstrate your organizational and management skills.
**We'll trust you to:**
+ Work closely with technical and market data contacts at client firms to help resolve and prevent issues that may impact their businesses
+ Handle escalations to internal Bloomberg groups such as Network Operations, Global Data, Data Feed teams, Implementation and Engineering
+ Take ownership of questions and technical issues reported by clients and provide direct support using telephone, ticket systems & email, and in person when feasible
+ Actively troubleshoot to recreate reported customer issues on internal, client simulated and test system environments OR by carrying out diagnostic work on the clients' own test/UAT systems
+ Identify opportunities to implement and drive adoption of self-service solutions to meet client needs
+ Identify team and personal workflow efficiencies through tooling and process improvement
+ Maintain the health and availability of our systems through alerting, monitoring, capacity management, instrumenting, and reporting
+ Partner with sales and account management to build and strengthen client relationships
**You'll need to have:**
+ 3+ years experience in a client facing position within a financial services or financial technology organization
+ Experience supporting financial markets technology products, such as market data feeds, reference data products, desktop or trading solutions
+ Business level proficiency in Japanese to support our clients in the Japan markets
+ A curiosity and interest in financial market data data products (e.g. market data and/or reference data)
+ An analytical and problem solving mindset
+ A passion and ability to provide best in class customer service
+ Strong multitasking skills and the ability to maintain a professional demeanor when handling complex and time sensitive issues
+ Ability to derive requirements from stakeholders via email, meetings, and conference calls
+ Exemplary presentation and communication skills in English
+ Demonstrated continuous career growth within an organization
+ Bachelor's degree or degree-equivalent qualifications
**We'd love to see:**
+ Familiarity with cloud architecture (AWS, Azure, GCP)
+ UNIX skills with ability to investigate technical issues or willingness to learn
+ Experience working with a scripting language or programming language (i.e Shell, Perl, Python, .NET, Java or C++)
+ A basic conceptual understanding of Web Services and REST API's
+ Experience with database querying languages such as SQL, NoSQL or similar
+ Exposure to architectural design in order to facilitate client adoption of Bloomberg's Enterprise Data products and services
+ CFA or related financial services certifications
**If this sounds like you:**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:
**Why Bloomberg?**
We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.
**Learn more about our office and benefits:**
Singapore |
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
Singapore
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
We're Bloomberg Enterprise Services - fast paced, innovative and expanding. We have worked hard and smart to become the successful business we are today. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. We provide a vast number of datasets that cover all asset classes, via multiple delivery technologies and flexible scheduling options. This means our clients get exactly the data they need, when they need it, in the format they prefer.
**The Role:**
We're looking for a passionate, motivated, service-orientated individual to join our team. You'll be trained to quickly and accurately identify problems, and then perform detailed and meaningful diagnostic and troubleshooting to identify the root cause. If needed, you'll escalate the issue internally, all whilst ensuring our clients receive an exceptional, seamless support experience.
You are professional and personable, curious and analytical, and excel in a diverse client facing team that provides round-the-clock support to our Enterprise Data clients. You're a solution-provider, with a passion for providing platinum technical support. You are able to get results by working closely with team members and colleagues around the organization, but are also not afraid of making independent decisions when situations demand. You are an aspiring leader who operates with high impact and is keen to demonstrate your organizational and management skills.
**We'll trust you to:**
+ Work closely with technical and market data contacts at client firms to help resolve and prevent issues that may impact their businesses
+ Handle escalations to internal Bloomberg groups such as Network Operations, Global Data, Data Feed teams, Implementation and Engineering
+ Take ownership of questions and technical issues reported by clients and provide direct support using telephone, ticket systems & email, and in person when feasible
+ Actively troubleshoot to recreate reported customer issues on internal, client simulated and test system environments OR by carrying out diagnostic work on the clients' own test/UAT systems
+ Identify opportunities to implement and drive adoption of self-service solutions to meet client needs
+ Identify team and personal workflow efficiencies through tooling and process improvement
+ Maintain the health and availability of our systems through alerting, monitoring, capacity management, instrumenting, and reporting
+ Partner with sales and account management to build and strengthen client relationships
**You'll need to have:**
+ 3+ years experience in a client facing position within a financial services or financial technology organization
+ Experience supporting financial markets technology products, such as market data feeds, reference data products, desktop or trading solutions
+ Business level proficiency in Japanese to support our clients in the Japan markets
+ A curiosity and interest in financial market data data products (e.g. market data and/or reference data)
+ An analytical and problem solving mindset
+ A passion and ability to provide best in class customer service
+ Strong multitasking skills and the ability to maintain a professional demeanor when handling complex and time sensitive issues
+ Ability to derive requirements from stakeholders via email, meetings, and conference calls
+ Exemplary presentation and communication skills in English
+ Demonstrated continuous career growth within an organization
+ Bachelor's degree or degree-equivalent qualifications
**We'd love to see:**
+ Familiarity with cloud architecture (AWS, Azure, GCP)
+ UNIX skills with ability to investigate technical issues or willingness to learn
+ Experience working with a scripting language or programming language (i.e Shell, Perl, Python, .NET, Java or C++)
+ A basic conceptual understanding of Web Services and REST API's
+ Experience with database querying languages such as SQL, NoSQL or similar
+ Exposure to architectural design in order to facilitate client adoption of Bloomberg's Enterprise Data products and services
+ CFA or related financial services certifications
**If this sounds like you:**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:
**Why Bloomberg?**
We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.
**Learn more about our office and benefits:**
Singapore |
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Is this job a match or a miss?
Apply Now
9