Government Technology Agency→
Senior Product Manager, Data Programme at Government… · Singapore
Job Description
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!
Learn more about GovTech at tech.gov.sg.
AI systems are only as reliable as their understanding of the underlying data. The same term or data field may have different meanings or calculation logic across different government agencies. Without that context, people and AI tools misinterpret data, give wrong answers, or fail to combine sources.
Context layers capture that missing meaning by organising the definitions, business rules, relationships and provenance around government data, in a form both people and AI systems can use.
In this role, you would:
1. Agency context layers — help government agencies identify use cases where context matters most, pilot and build their own context layers, and ensure these can be easily maintained and repeatable across other agencies.
2. A cross-agency context layer — work out how shared meaning can be established across agencies, so data and AI applications work across domain boundaries.
This is an early-stage, zero-to-one product role. You will work closely with agencies, policy owners, data teams, engineers, and users to test hypotheses, deliver practical prototypes, and determine which capabilities should be scaled as common government products or standards.
[What you will be working on]
As a Product Manager, you will hold significant ownership over your product domain, driving it from concept to reality while aligning with the broader programme goals. Your core responsibilities include:
Set the product strategy
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Define the vision for government context layers and the use cases they should enable.
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Translate an ambiguous problem space into testable product hypotheses, priority user journeys, and a sequenced roadmap.
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Define the relationship between agency-specific context layers and shared cross-agency capabilities.
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Decide what GovTech should build centrally, offer as reusable components, set as standards, or leave to agencies.
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Align product, engineering, data, AI, policy and agency leadership.
Help agencies build their own context layers
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Build a network of partner agencies willing to co-develop and test use cases
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Lead discovery into agencies' data, terminology, business rules, user needs and existing knowledge assets
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Prioritise high-value operational, analytical, service-delivery and AI use cases, and define success measures for each
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Ground every context layer in a real product or workflow, not a documentation exercise
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Define how context layers connect to data platforms, AI systems, search tools, analytics environments and digital services, while meeting security, performance and data governance standards.
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Test operating models, from agency-led to centrally supported to shared services, and identify adoption barriers such as unclear ownership, maintenance effort and skills gaps.
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Turn lessons from pilots into reusable playbooks, patterns, tools and onboarding.
Build a cross-agency context layer
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Identify use cases that need concepts, entities and relationships understood across agency boundaries.
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Explore how differing definitions, taxonomies, identifiers and data models can be mapped or reconciled.
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Build and validate prototypes that combine context from multiple agencies for discovery, decision support, analytics or AI applications.
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Agree ownership, stewardship, contribution and maintenance models for shared context.
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Work with agencies on trust, provenance, access controls and accountability.
Measure and iterate
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Define and track product metrics that show real value (e.g. AI answer accuracy, time saved, reuse of context) rather than vanity metrics.
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Run structured experiments and user studies to validate product decisions and prioritise the roadmap.
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Maintain a clear, well-reasoned product backlog and communicate trade-offs transparently to stakeholders.
[What we are looking for]
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At least 5 years of relevant experience, including 3 or more in product management within cross-functional teams of engineers, designers and data or platform specialists
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Strong product sense and product management experience — including ability to do zero-to-one product discovery experience in ambiguous problem spaces
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Experience delivering data or AI products, with a working understanding of data governance, provenance, access control and information security
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Comfort working with engineers on APIs, data models, integration patterns, retrieval systems and AI-enabled applications
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Strong facilitation and stakeholder management across organisations with different incentives, without direct authority over them
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Strong analytical skills — comfortable using data to diagnose problems, validate hypotheses, and communicate product performance
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Prior experience with knowledge graphs, ontologies, taxonomies, metadata standards or semantic modelling
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Experience designing federated operating models: knowing when to set common standards versus localised mappings
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Experience in or with government agencies, or other large federated organisations where adoption depends on coordination rather than top-down mandate
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Background in building or evaluating retrieval-augmented or agentic AI systems
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Diploma/Degree in Computer Science, Infocomm Technology, Engineering, or a related subject area, or prior working experience in product management, IT business analysis, application solutioning design and testing.
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Experience in modern product development and management practices such as Agile, Design Thinking, and Product-Centric Development will be strongly preferred.
What we offer you:
GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.
Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.
We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.
Learn more about life inside GovTech at go.gov.sg/GovTechCareers.
Stay connected with us on social media at go.gov.sg/ConnectWithGovTech