Data Product Manager, Public Service Division

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an \"outside-in\" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today

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We are looking for a Data Product Manager to lead strategic, data‑centric products that support Whole‑of‑Government policy, operational and decision‑making outcomes.

In this role, you will own the end‑to‑end success of products where data is the primary value driver — such as enterprise data platforms, authoritative datasets and shared analytics products. You will work closely with senior stakeholders across agencies to shape product vision, prioritise outcomes, and ensure delivery is sustainable, secure and fit for purpose.

This is a Product Manager role , not a separate data‑specialist role. Strong product leadership is essential, with sufficient data literacy to lead confidently in complex, cross‑agency environments.

• Own and communicate a clear product vision, outcomes and roadmap for data‑centric products.
• Lead problem discovery to ensure the right user, agency and Whole‑of‑Government problems are being solved before solutioning, rather than digitising existing issues.
• Translate policy, operational and analytical needs into actionable product strategies and priorities.
• Define and track product value, focusing on impact such as better decisions, improved timeliness, reuse of data and productivity gains.
• Ensure product scope remains outcome‑driven, avoiding unnecessary complexity or unsustainable solutions.

• Act as the single accountable owner for product outcomes across multiple agencies and senior stakeholders.
• Engage policy owners, data owners, business users, analytics teams, technologists and vendors to align priorities and delivery expectations.
• Make informed trade‑offs across cost, quality, risk, timeliness and impact.

• Lead cross‑functional product teams spanning data engineering, analytics, architecture, security and operations.
• Drive product‑centric delivery practices, including iterative releases, user feedback loops and outcome‑based prioritisation.
• Oversee vendor‑supported delivery while maintaining strong internal product ownership and capability transfer.

• Ensure products meet government requirements for data governance, security, privacy, auditability and operational sustainability.
• Work closely with governance, security and architecture stakeholders to embed controls by design.
• Present product plans, costs, risks and progress clearly to senior governance forums.

• Mentor Product Managers and contribute to building strong product capability, particularly for data‑centric products.
• Role‑model sound product judgement, accountability and outcome ownership.

• Enterprise or sector‑wide data platforms
• Authoritative government datasets
• Shared analytics or reporting products

• Proven experience in data product management, including product strategy, roadmap ownership and outcome delivery
• Strong ability to manage senior stakeholders and operate in complex, multi‑party environments
• Experience articulating product value, risks and trade‑offs to governance or leadership forums

• Good understanding of modern data platforms and architectures (e.g. ingestion, transformation, analytics, data services)
• Working knowledge of data governance concepts such as data quality, access control and lineage
• Ability to collaborate effectively