Data jobs in Singapore
Senior Assistant Director, Data Management, CIO Office
A*STAR
Director, Data Strategy and Transformation
Charterhouse Partnership | Asia
Data Products - Associate, APAC Chief Data & Analytics Office
JPMORGAN CHASE BANK, N.A.
Senior Manager (Data Operations and Management), Protective Service, RPG/POP
Ministry Of Social And Family Development
Manager / Senior Manager / Assistant Director (Data Strategy)
Public Service Division
Discover more opportunities than anywhere else. Find more jobs nowSenior Data Engineer - Air Network Planning
FedEx
Senior Manager/ Manager, Systems & Data Centre
Health Sciences Authority
AVP, Total Portfolio Data Business Analyst
GIC Private Limited
Connect with headhunters to apply for similar jobsData & AI Governance Lead (Senior Manager Level)
Charterhouse Pte Ltd
Data Manager
Singapore Land Authority
Data and AI Technical Lead
SURBANA TECHNOLOGIES PTE. LTD.
Sr Data Analyst, OCEAN
Tan Tock Seng Hospital
Data & AI Governance Lead (Senior Manager Level)
Charterhouse Asia
Lead Data Scientist
Referrals Only
IDC Architect
AOLANI MANAGEMENT PTE. LTD.
Product Design and User Experience – Vice President, APAC Chief Data & Analytics Office
JPMorgan Chase & Co.
Senior Vice President, APAC IBOR operations
BNY
Backend Engineer, Database Excellence (Ruby)
GitLab
Regional Data Analytics Director
Givaudan
Data & AI Governance Manager
Singtel Group
Regional Data Analytics Director
Givaudan Singapore Pte Ltd
Senior Director, Services
NTT DATA, Inc.
Senior Assistant Director, Data Management, CIO Office
Job summary
A leading research institute in Singapore is seeking a Senior Assistant Director for Data Management in the CIO Office. The successful candidate will design and implement an enterprise data management framework, drive governance practices, and evaluate modern data protection technologies. This role requires at least 7 years of experience in data management, strong stakeholder engagement skills, and a solid understanding of data technologies. A forward-looking approach to data governance is essential for this position.
Qualifications
- Minimum 7 years' experience in data management and data architecture.
- Proven experience implementing enterprise frameworks and technical solutions.
- Strong understanding of modern data technologies, including AI-driven automation.
Responsibilities
- Design, operationalise and implement A*STAR's enterprise data management framework.
- Drive consistent adoption of governance practices across corporate and research domains.
- Evaluate emerging technologies for IT governance and digital assurance.
Skills
Tools
A*STAR ITSS (IT Shared Services) is seeking a technically strong and forward-looking data management professional to design, operationalise and implement A*STAR's enterprise data management framework and technologies. This role drives consistent, secure and high-quality data practices across corporate and research domains and leads the adoption of modern data protection and governance technologies, including AI-enabled and automated approaches, to uplift IT governance and organizational operations.
KEY RESPONSIBILITIES
- Data Governance
- Contribute to the development, rollout and continual enhancement of A*STAR's enterprise data management framework, covering strategies, policies, standards and procedures.
- Ensure alignment with regulatory, legal and ethical requirements, including privacy, security, and government Instruction Manual (IM) obligations.
Engage corporate groups, RIs and data domain owners to drive consistent adoption of governance practices and gather feedback on data management framework and technologies.
- Data Technologies
- Work closely with product teams in IT Infrastructure, Cybersecurity, and Data Protection Officers across A*STAR to implement data protection, data governance and data quality tools, taking a business-centric and risk-based perspective.
- Lead the adoption of AI, analytics and automation specifically for data management, including data discovery, classification, quality assurance, lifecycle management, and metadata management.
Evaluate emerging technologies and recommend enhancements to strengthen A*STAR's overall digital assurance and IT governance posture.
- Participate in the development and maintenance of A*STAR's enterprise data architecture.
- Provide advisory to A*STAR entities to ensure IT system designs are aligned with enterprise data architecture principles and the data management framework.
- Work with data domain owners to maintain enterprise-wide data dictionaries, data inventories and data catalogues, including assigned data classification levels, to strengthen interoperability, consistency and governance across A*STAR.
- Contribute to the definition of metadata standards, data lineage models, and architecture alignment across systems and platform.
Contribute to data modelling, metadata standards, lineage tracking and architectural alignment across projects and platforms.
- Digital Governance (Beyond Data)
- Contribute to policy-policy and policy-operations integration efforts to streamline digital policies across data, cybersecurity, IT and AI domains.
- Minimum 7 years' experience in data management and data architecture, with proven experience implementing enterprise frameworks and technical solutions.
- Strong stakeholder engagement skills and the ability to translate business requirements into practical governance controls and technical implementations.
- Experience implementing or operationalising data governance frameworks in a large organization.
- Strong understanding of modern data technologies (data catalogues, metadata management, DLP, AI-driven automation, lineage, etc.) and enterprise data architecture concepts.
- Demonstrated strategic thinking, strong analytical ability, and meticulous attention to detail.
Senior Assistant Director Data Management CIO Office • Singapur
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.