252 Data Management Roles jobs in Singapore

This individual will be responsible for designing logical data models, building data marts, and aligning enterprise data architecture with business needs—especially across complex banking and financial domains. The role requires close collaboration with both business and technical teams to ensure data assets are effectively structured to support robust analytics and strategic decision-making.

• Work closely with business stakeholders and system teams to gather data requirements across areas such as banking products, transactions, customer data, regulatory reporting, and analytics.
• Design, maintain, and evolve logical and physical data models that support financial operations, risk, compliance, and performance reporting.
• Translate business use cases into normalized and de-normalized data structures, optimized for both operational and analytical purposes.
• Lead the design and enhancement of data marts, integration layers, and enterprise data warehouse components.
• Collaborate with engineering teams to deploy and optimize data models for performance and scalability with large-scale financial datasets.
• Ensure alignment of data models with enterprise data governance, metadata standards, and data quality frameworks.
• Create and maintain documentation including data dictionaries, lineage diagrams, and architectural blueprints to support transparency, compliance, and business understanding.
• Contribute to initiatives related to data lineage, metadata management, and trust in enterprise data assets.

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field; a Master’s degree is preferred.
• Minimum 10 years of experience in data architecture, data modeling, or enterprise data management—preferably within the banking or financial services industry.
• Foundational understanding of data governance principles and frameworks (e.g., DAMA-DMBOK).
• Strong expertise in developing logical and physical data models across banking, compliance, risk, and analytics domains.
• Proficiency in data modeling tools such as Erwin, PowerDesigner, or similar.
• Advanced SQL skills and experience working with large, complex financial data environments.
• Strong grasp of relational and dimensional modeling, data warehousing principles, and data integration best practices.
• Familiarity with regulatory requirements within the Asia-Pacific region is an advantage.
• Excellent communication and collaboration skills to engage with stakeholders across business and technology functions.

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Direct message the job poster from Charterhouse Asia

A leading financial services firm is looking to hire a VP of Data Strategy & Architecture to join their dynamic data function. This leadership role will play a key part in designing robust data models that power core banking functions, regulatory reporting, risk analytics and broader strategic initiatives.

This is an exciting opportunity for a seasoned data professional who thrives in fast-paced, complex environments and is passionate about building scalable data architecture that drives meaningful business outcomes.

Responsibilities:

• Partner with business and technology stakeholders to gather data requirements related to banking products, customer transactions, reporting, and analytics.
• Design and maintain logical and physical data models that align with key business use cases.
• Convert complex business requirements into scalable, efficient data structures that support both operations and analytics.
• Lead the development and continuous improvement of data marts, data warehouses, and integration layers.
• Collaborate with engineering teams to ensure optimal deployment and performance of physical data models.
• Align data architecture with governance, quality, and metadata standards.
• Produce thorough documentation, including data dictionaries, data flow diagrams, and architecture designs to support regulatory, audit, and business needs.
• Contribute to data lineage, metadata, and data quality initiatives to enhance trust in enterprise data.

Requirements:

• Degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
• 10+ years of experience in data architecture, modeling, or data management, ideally within the financial services or banking sector.
• Solid understanding of data governance principles (e.g. DAMA-DMBOK).
• Proven expertise in building data models for banking, risk, compliance, and finance domains.
• Skilled in data modeling tools such as Erwin, PowerDesigner, or similar platforms.
• Strong SQL capabilities with hands-on experience working with large-scale financial data sets.
• Deep understanding of relational and dimensional modeling, as well as data warehousing and integration strategies.
• Familiarity with APAC financial regulatory frameworks is a plus.
• Strong interpersonal and communication skills, with the ability to engage and align with both technical and business stakeholders.

For a confidential discussion, please contact Jackie Panopio at +65 6950 0369 or via email at

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Financial Services, Data Infrastructure and Analytics, and IT System Data Services

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As a key player in our data-driven organization, you will spearhead the development of actionable data science use cases that drive business growth and efficiency.

• You will partner with cross-functional leaders to define and communicate KPIs for each channel, ensuring alignment across distribution, marketing, and product teams.
• Your expertise in building and deploying models to optimize acquisition, retention, and channel efficiency will be crucial in driving business results.
• You will analyze partner/channel performance and recommend reallocations of resources to maximize impact.
• You will design and deploy dashboards for real-time monitoring of distribution performance, providing insights to inform strategic decisions.

• Bachelor's degree in Engineering, Information Technology, Computer Science, or related field.
• 4-6 years of experience in life insurance or financial services analytics, with a strong understanding of distribution models.
• Proven ability to lead strategic analytics engagements with cross-functional leaders and communicate complex data science concepts to non-technical partners.
• Data Science Acumen: Proficiency in statistical methods, including regression analysis, hypothesis testing, and time series analysis. Experience with uplift modelling and lifetime value modelling.
• Technical Familiarity (Good to Have): Familiarity with Databricks, Google Vertex AI, and BigQuery is considered beneficial.

Job Title: Data Architecture Leader

Singtel Networks is driving transformation to empower the digital generation. We are investing in new capabilities across 5G, Cloud, Analytics, Digital Commerce, Software Engineering, and Cyber Security to deliver innovative services for customers. Our commitment to inclusion and diversity drives our efforts to upskill and nurture all individuals.

We are seeking a Data Architecture Leader who will lead and manage cloud data lake or solution initiatives, including design and determination of software for data processing and pipeline for ETL, Streaming, analytics, AI/ML, and APIs.

Main Responsibilities:

• Lead and manage cloud data lake or solution initiative including design and determine the SaaS or software to be used for the data processing and pipeline for ETL, Streaming, analytics, AI/ML and APIs.
• Establish and lead the Day 2 operation process, SLO/SLA, data off-premise clearance and security governance for cloud data pipeline.
• Manage Networks data governance for the department and support in Group data governance and data protection framework.
• Perform as Tier 3 Systems SME responsible for overall System Performance and Design, Change Management outcomes, executing minor to major software upgrades as well as solution changes independently, managing vendors and technically debating on optimum solution performance while ensuring robust and cost-efficient architecture.
• Lead and manage Tier 2 Systems Administration & Operation Support.
• Accountable for System Security management of Anti-Malware systems and perform monthly scanning for any security threats and system administration and perform monthly scanning for systems, analyse security reports from Anti-Malware scans, determining best course of action, administrator for the firewalls and perform the quarterly review for the rules to ensure the system defence-in-depth and security.
• Responsible for Information Security (InfoSec) governance, serving as the Security representative for the department or division.
• Responsible for architecting network and IP address designs, as well as implementing data protection and security measures.
• Lead Incident Management and provide timely update to the Management and accountable for the RCA of the managed platforms.
• Conduct research and development (R&D) or proof of concept (POC) on new technologies or proposals provided by the vendor.
• Ensure operational processes for the respective systems are well documented. This includes system inventories, solution doc, IP/Network design, SOPs etc.
• Lead system audits, oversee security review submissions, and manage the Business Continuity Management (BCM) for the department.

• Degree in Engineering or IT.
• At least 5 years' experience in data solution and administration.
• Experience in Cloud Data solution (AWS, Microsoft Azure, etc), On-premise data platform on HPE Ezmeral, Stream data platform in Kafka and Confluent, On-premise system implementation, System.
• Able to handle Data Architect, mapR, Hadoop and Spark (or equivalent).
• Has knowledge in Linux/Unix, Ansible automation, Shell Scripting, Kubernetes, Docker, serverless functions, APIs and Kafka bus, Network, IP Address and Security design.

We are seeking a highly skilled Enterprise Data Strategist to drive data-driven insights and inform business decisions.

• Collaborate with cross-functional teams to identify opportunities for growth and scaling.
• Design experiments, perform statistical analysis, and develop machine learning models to address complex business challenges.
• Develop and implement data strategies to enhance BI reporting, business systems, and forecasting models.
• Analyze and visualize large datasets using advanced methods, providing actionable recommendations to stakeholders.

The ideal candidate will have:

• At least 2 years of experience in a data science or analytics role.
• Expertise in statistics, causal inference, and machine learning.
• Proficiency in programming languages such as Python and R, with experience working with SQL databases.
• Strong communication skills, with the ability to bridge technical and non-technical stakeholders.
• Experience crafting clear data stories and visualizations to drive decision-making.

Join to apply for the Associate Director-Data Strategy role at Moody's Corporation

Join to apply for the Associate Director-Data Strategy role at Moody's Corporation

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Department: Data Estate Operating Unit

Welcome to the Data Estate business unit at Moody's Analytics, where we are pioneering the future of data management and analytics in Moody's Analytics. Our mission is to deliver precise, timely data with a commitment to innovation.

At Data Estate, we focus on enhancing Moody's digital presence and improving customer engagement through innovative data solutions. Our team is dedicated to enforcing and evolving our data quality framework, improving transparency into our data assets, and strategically growing new and existing information providers. We are committed to ensuring our data is ready for an expanding set of GenAI use cases and maintaining tight alignment with the teams we support.

We are building a resilient data platform that supports our strategic priorities and drives long-term, sustainable growth for the business.

Join us at Data Estate and be part of a dynamic team that is shaping the future of data management. We offer a collaborative environment where your contributions will have a meaningful impact on our clients and the industry. If you are passionate about data quality, governance, and innovation, we invite you to explore opportunities with us and help us deliver exceptional results.

Role/Responsibilities

The Role As Associate Director of Data Sourcing Strategy, you will play a crucial role in executing and supporting the strategic initiatives for acquiring and managing data from a diverse network of information providers (IPs). You will work closely with Sourcing Strategists, Data Strategists, and other internal stakeholders to implement data acquisition plans, manage IP relationships, contribute to strategic projects, and support the overall data acquisition lifecycle. Your work will directly contribute to optimizing our data assets, ensuring business continuity, and enabling Moody’s to meet evolving market and client needs. This is an analytical and execution-focused role that also requires strong collaboration, project management, and relationship-building skills.

Key Responsibilities And Objectives

• Support the establishment and nurturing of relationships with Data Estate Information Providers (IPs).
• Explore partnership options and other collaboration opportunities with IPs.
• Negotiate data license agreements with new and existing IPs.
• Contribute to proactive risk management to ensure business continuity related to data supply.
• Monitor regional and global market trends related to data sourcing options and the evolving IP ecosystem.
• Gather and maintain knowledge on the landscape of IPs relevant to Moody’s business needs.
• Contribute to identifying the best sources for specific use cases, including supporting build vs. buy analyses.
• Manage IP onboarding processes, including due diligence and vendor management activities.
  
  

• 5-10 years’ experience with preference given to relationship management, partnership management or sales collaborations in the business information industry .
• Bachelor's degree is required; a Master's degree or relevant professional certification is a plus.
• Excellent stakeholder management skills, with the ability to work across diverse teams and geographies.
• Analytical and problem-solving skills, with a commercially astute mindset.
• Experience in contract review and negotiation processes is highly desirable.
• Familiarity with diverse data types (e.g., company, financial, news, alternative data) and their application in business use cases.
• Understanding of market trends in data acquisition, partnerships, and AI-driven solutions.
• Strong organizational skills and project management capabilities, with meticulous attention to detail.
• Ability to manage multiple tasks and projects concurrently, adhering to tight deadlines.
• Proactive, with a strong sense of initiative and a "can-do" attitude.
• Ability to work both independently and as part of a global team.
• Good knowledge of English, proficiency in any Asian language is an asset
• Willingness to undertake occasional business travel as required.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

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Join to apply for the Director, Data Strategy & Transformation role at SMBC Group

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The Director - Data Strategy & Data Architecture will report to the Head of Data Management Office and will be responsible for defining and executing the enterprise-wide data strategy, ensuring seamless integration between data lake and data marts to support business needs across APAC. This role requires deep collaboration with IT, business units, and regional offices, leading cross-functional teams to drive data governance, architecture, and analytics initiatives. The individual will play a critical role in embedding a data-driven culture, optimizing data infrastructure, and maximizing the value of data assets for strategic decision-making.

1. Define and implement the data strategy, ensuring alignment with global data governance frameworks and business objectives.
2. Partner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
3. Design scalable data architectures, enabling efficient data integration from multiple regional sources into a unified enterprise data lake.
4. Design and maintain logical and physical data models that reflect core banking operations, risk management, compliance, financial reporting / analytics needs.
5. Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
6. Guide the implementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
7. Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
8. Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
9. Provide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business usage.
10. Support data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.
11. Contribute to data integration strategies to enable seamless access to core banking systems, regulatory systems, and analytical platforms.

1. Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. Master’s degree preferred.
2. 15+ years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).
3. Deep knowledge of data governance (DAMA-DMBOK), data modelling, and metadata management.
4. Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
5. Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
6. Advanced SQL skills and strong ability to work with large, complex financial datasets.
7. Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
8. Strong understanding of regulatory compliance in the APAC region.
9. Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
10. Work location:

• Director

• Full-time

• Information Technology

• Banking

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Department: Data Estate Operating Unit

Welcome to the Data Estate business unit at Moody's Analytics, where we are pioneering the future of data management and analytics in Moody's Analytics. Our mission is to deliver precise, timely data with a commitment to innovation.

At Data Estate, we focus on enhancing Moody's digital presence and improving customer engagement through innovative data solutions. Our team is dedicated to enforcing and evolving our data quality framework, improving transparency into our data assets, and strategically growing new and existing information providers. We are committed to ensuring our data is ready for an expanding set of GenAI use cases and maintaining tight alignment with the teams we support.

We are building a resilient data platform that supports our strategic priorities and drives long-term, sustainable growth for the business.

Join us at Data Estate and be part of a dynamic team that is shaping the future of data management. We offer a collaborative environment where your contributions will have a meaningful impact on our clients and the industry. If you are passionate about data quality, governance, and innovation, we invite you to explore opportunities with us and help us deliver exceptional results.

Role/Responsibilities

The Role As Associate Director of Data Sourcing Strategy, you will play a crucial role in executing and supporting the strategic initiatives for acquiring and managing data from a diverse network of information providers (IPs). You will work closely with Sourcing Strategists, Data Strategists, and other internal stakeholders to implement data acquisition plans, manage IP relationships, contribute to strategic projects, and support the overall data acquisition lifecycle. Your work will directly contribute to optimizing our data assets, ensuring business continuity, and enabling Moody’s to meet evolving market and client needs. This is an analytical and execution-focused role that also requires strong collaboration, project management, and relationship-building skills.

Key Responsibilities and Objectives

• Support the establishment and nurturing of relationships with Data Estate Information Providers (IPs).
• Explore partnership options and other collaboration opportunities with IPs.
• Negotiate data license agreements with new and existing IPs.
• Contribute to proactive risk management to ensure business continuity related to data supply.
• Monitor regional and global market trends related to data sourcing options and the evolving IP ecosystem.
• Gather and maintain knowledge on the landscape of IPs relevant to Moody’s business needs.
• Contribute to identifying the best sources for specific use cases, including supporting build vs. buy analyses.
• Manage IP onboarding processes, including due diligence and vendor management activities.

Qualifications

• 5-10 years’ experience with preference given to relationship management, partnership management or sales collaborations in the data industry.
• Bachelor's degree is required; a Master's degree or relevant professional certification is a plus.
• Excellent stakeholder management skills, with the ability to work across diverse teams and geographies.
• Analytical and problem-solving skills, with a commercially astute mindset.
• Experience in contract review and negotiation processes is highly desirable.
• Familiarity with diverse data types (e.g., company, financial, news, alternative data) and their application in business use cases.
• Understanding of market trends in data acquisition, partnerships, and AI-driven solutions.
• Strong organizational skills and project management capabilities, with meticulous attention to detail.
• Ability to manage multiple tasks and projects concurrently, adhering to tight deadlines.
• Proactive, with a strong sense of initiative and a "can-do" attitude.
• Ability to work both independently and as part of a global team.
• Good knowledge of English, proficiency in any Asian language is an asset
• Willingness to undertake occasional business travel as required.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.