285 Data Management Roles jobs in Singapore
Data Strategy & Architecture Manager
Posted 9 days ago
Job Viewed
Job Description
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.
Key Responsibilities- 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.
VP, Data Architecture & Strategy
Posted today
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Job Description
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Direct message the job poster from Charterhouse Asia
Recruiting Top Talent in Technology, Quant Dev, & Digital l Career Coach l
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 or via email at
Seniority level
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#J-18808-LjbffrData strategy engineer
Posted today
Job Viewed
Job Description
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Lemon8, CapCut, etc. We are building platform foundations, leveraging data and ML models, and providing end-to-end solutions to power global growth of products.
You will:
- Design and apply machine learning algorithm and product strategies to user growth methods to expand product impact as well as improve users' experiences;
- Understand user growth instruments and use data and machine learning algorithms or other strategies to make it thrive;
- Responsible for target audience, automated material production, advertising automation optimization and other related algorithm strategies
- Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies;
- Work with product and DEs, DAs, and other engineers to deliver features to drive the user growth of products.
Qualifications
Minimum Qualifications
1. Excellent coding skills and solid data structure and algorithm skills, proficient in python / C++ and other development languages;
2. Familiar with common Machine Learning tools and Deep learning programming frameworks ( Tensorflow / PyTorch / Scikit-learn / XGBoost , etc.);
3. Relevant algorithm experience in search, recommendation, advertising and other related fields, user growth experience is better;
4. Excellent analytical and problem-solving skills, with a passion for solving challenging problems.
Preferred Qualifications
1. Passion for technology, good communication skills and team spirit
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Data Strategy Specialist
Posted today
Job Viewed
Job Description
We are seeking an experienced Senior Growth Strategist to join our team. In this role, you will design and apply machine learning algorithms and product strategies to expand the impact of our products and improve user experiences.
About the RoleYou will be responsible for target audience analysis, automated content production, advertising automation optimization, and other related algorithm strategies. You will work with cross-functional teams to deliver features that drive user growth and engagement.
Requirements- Excellent coding skills and solid data structure and algorithm skills, proficient in Python/C++ and other development languages.
- Familiarity with common Machine Learning tools and Deep learning programming frameworks (Tensorflow/PyTorch/Scikit-learn/XGBoost, etc.).
- Relevant algorithm experience in search, recommendation, advertising, and other related fields, user growth experience is preferred.
- Excellent analytical and problem-solving skills, with a passion for solving challenging problems.
TikTok is committed to creating an inclusive environment where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. We are passionate about celebrating our diverse voices and creating an environment that reflects the many communities we reach.
What We OfferWe offer a dynamic and supportive work environment, opportunities for professional growth and development, and a competitive compensation package.
# Data Strategy Position
Posted today
Job Viewed
Job Description
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.
Data Strategy Specialist
Posted today
Job Viewed
Job Description
We are seeking a skilled Business Analyst to join our team at a government agency.
The successful candidate will be responsible for:
- Eliciting, scoping and managing business requirements
- Conducting requirements gathering and analyzing requirements for ICT projects
- Elaborating user stories with storyboard, story map, wireframes, business process flow and acceptance criteria
- Designing new software applications by analyzing requirements, constructing workflow charts and diagrams, and writing specifications
- Improving systems by studying current practices and designing modifications
- Preparing technical reports by collecting, analyzing and summarizing information and trends
- Identifying and highlighting technical and non-technical project risks and proposing appropriate solutions
- Managing operations of ICT projects, including government procurement processes
- Managing suppliers to meet stipulated service levels within scope and schedule
- Ensuring ICT projects' compliance to Quality Management System (QMS) and contractual requirements
Key qualifications include:
- Singaporean citizenship
- Minimum 4 years of experience in business analytics or project management
- Working knowledge or experience in Agile Scrum, Design Thinking, Cloud, Data Analytics
- Certified Scrum Master or Product Owner is an added advantage
Data strategy engineer
Posted today
Job Viewed
Job Description
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Lemon8, CapCut, etc. We are building platform foundations, leveraging data and ML models, and providing end-to-end solutions to power global growth of products.
You will:
- Design and apply machine learning algorithm and product strategies to user growth methods to expand product impact as well as improve users' experiences;
- Understand user growth instruments and use data and machine learning algorithms or other strategies to make it thrive;
- Responsible for target audience, automated material production, advertising automation optimization and other related algorithm strategies
- Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies;
- Work with product and DEs, DAs, and other engineers to deliver features to drive the user growth of products.
Qualifications
Minimum Qualifications
1. Excellent coding skills and solid data structure and algorithm skills, proficient in python / C++ and other development languages;
2. Familiar with common Machine Learning tools and Deep learning programming frameworks ( Tensorflow / PyTorch / Scikit-learn / XGBoost , etc.);
3. Relevant algorithm experience in search, recommendation, advertising and other related fields, user growth experience is better;
4. Excellent analytical and problem-solving skills, with a passion for solving challenging problems.
Preferred Qualifications
1. Passion for technology, good communication skills and team spirit
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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Data Strategy Specialist
Posted today
Job Viewed
Job Description
Senior Growth Strategist
We are seeking an experienced Senior Growth Strategist to join our team. In this role, you will design and apply machine learning algorithms and product strategies to expand the impact of our products and improve user experiences.
About the Role
You will be responsible for target audience analysis, automated content production, advertising automation optimization, and other related algorithm strategies. You will work with cross-functional teams to deliver features that drive user growth and engagement.
Requirements
- Excellent coding skills and solid data structure and algorithm skills, proficient in Python/C++ and other development languages.
- Familiarity with common Machine Learning tools and Deep learning programming frameworks (Tensorflow/PyTorch/Scikit-learn/XGBoost, etc.).
- Relevant algorithm experience in search, recommendation, advertising, and other related fields, user growth experience is preferred.
- Excellent analytical and problem-solving skills, with a passion for solving challenging problems.
Benefits
TikTok is committed to creating an inclusive environment where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. We are passionate about celebrating our diverse voices and creating an environment that reflects the many communities we reach.
What We Offer
We offer a dynamic and supportive work environment, opportunities for professional growth and development, and a competitive compensation package.
Associate Director-Data Strategy
Posted 22 days ago
Job Viewed
Job Description
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.
Associate Director-Data Strategy
Posted 28 days ago
Job Viewed
Job Description
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.
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. Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
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