Lead/Senior Product Manager, Data; Enterprise
Listed on 2026-01-29
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IT/Tech
Data Science Manager, Data Analyst, Data Engineer
Overview
We are seeking a Lead/Senior Product Manager to spearhead Data Product(s) at Enterprise Singapore. In this role, you will lead the data strategy, data initiatives and transformation of the digital data products in the agency.
Gov Tech (Who We Are)Gov Tech 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), Gov Tech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.
At Gov Tech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round.
Responsibilities- Lead and execute data product strategy, champion the data platform and analytics management as part of the agency data office.
- Drive and articulate the vision and outcomes of the data product(s) and align the product backlog to meet the data needs while ensuring user
-friendliness, security, scalability and data quality. - Responsible for driving the usage adoption across the organisation.
- Work with a multi-disciplinary team including data analysts, data engineers, data scientists, software engineers and product manager in delivering data/AI initiatives with measurable business impact.
- Translate and embed data governance policies and management as part of the data platform.
As Lead/Senior Product Manager of Enterprise Singapore, you'll:
- Lead and execute data product strategy, champion the data platform and analytics management as part of the agency data office.
- Drive and articulate the vision and outcomes of the data product(s) and align the product backlog to meet the data needs while ensuring user
-friendliness, security, scalability and data quality. - Responsible for driving the usage adoption across the organisation.
- Work with a multi-disciplinary team including data analysts, data engineers, data scientists, software engineers and product manager in delivering data/AI initiatives with measurable business impact.
- Translate and embed data governance policies and management as part of the data platform.
- You are an experienced product manager, with strong track records of leading data platforms in end-to-end implementations.
- You are an advocate that delivers meaningful initiatives that impacts the business using data.
- You have experience in modern product development/management technologies and practices such as Agile, Cloud, Design Thinking, and Product-Centric Development.
- You maintain deep involvement in data operations through understanding of use cases and impact, data landscape and lineage, engineering and platform capabilities.
- You are an outcome-focused leader who guides strategic discussions, and builds trust through demonstrated expertise in product management and practices.
- You foster collaboration and knowledge sharing across design, development, product, and stakeholder teams to achieve shared success.
- You maintain high standards for data quality, usability, and accessibility while ensuring timely delivery of solutions that meet business objectives.
- You have experience in delivering AI initiatives that leverage on data.
- You have hands‑on experience (advantageous but not necessary) with python and ML/AI models, or software development.
- Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, or a related field (or equivalent experience).
- 9 to 12 years of experience in Product Management, at least 3 of which in a managerial or leadership capacity.
- Proven ability and experience on data platforms and technologies.
- Strategic thinker and a proven ability to drive strategic initiatives in your work.
- Proven ability to work collaboratively with cross functional teams.
- Proven ability to work collaboratively with senior stakeholders and leadership.
- Good communication and storytelling skills, with the ability to present findings clearly and persuasively.
- Strong analytical thinking with attention to detail and ability to…
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