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Deputy/Assistant Director, Data Governance officer (Contract)

Monetary Authority of Singapore

Job at a glance

Category
Data Governance
Work arrangement
On-site
Location
Singapore
Posted
Aug 31, 2026
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Monetary Authority of Singapore is hiring a Deputy/Assistant Director, Data Governance officer (Contract) in Singapore. This is a Data Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with Monetary Authority of Singapore.

[What the role is] The Enterprise Knowledge Department partners other MAS departments to manage MAS' knowledge assets, by formulating and implementing information and data governance policy. We are seeking a Data Governance Officer to support the implementation of MAS' enterprise data catalogue and related data governance initiatives. The role will work closely with business, technology and policy stakeholders to improve data discoverability, strengthen data accountability, and promote the responsible use of data across MAS. [What you will be working on] Support the implementation of MAS’ enterprise data catalogue and related data governance initiatives. Develop and operationalise data governance processes, standards and controls. Provide advisory on Whole-of-Government data governance requirements (e.g. data classification, protection, access, sharing and lifecycle management). Facilitate the adoption of data governance practices, including data ownership, stewardship, metadata management, data quality and access governance. Review and assess data-related risks, governance submissions, projects and initiatives, and recommend measures to address identified gaps. Support the development of guidance materials, communications and training programmes to strengthen data governance awareness and compliance across MAS. [What we are looking for] Relevant qualifications in data management, information management, information systems, computer science, public policy or a related discipline. Experience in data governance, data management, information governance or a related role. Familiarity with data governance concepts such as data ownership, stewardship, metadata management, data quality and data classification Experience with enterprise data platforms or catalogue (e.g. Snowflake Horizon Catalogue or similar solutions) is preferred but not essential Familiarity with Whole-of-Government data policies and frameworks, including requirements relating to data classification, protection, sharing, access and lifecycle management. Ability to engage stakeholders across business, policy and technology functions and translate complex requirements into practical solutions. Strong analytical, organisational and problem-solving skills. You will be working in a fast-paced environment that would require the ability to manage multiple priorities and needs of stakeholders, as well as the agility to respond to changes and developments. This is a 1-year contract. As part of the

Full responsibilities and requirements are on Monetary Authority of Singapore's application page.

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About Monetary Authority of Singapore
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Location and market context

This job is based in Singapore on-site. Local candidates benefit from being close to Monetary Authority of Singapore's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About data governance jobs

Data governance establishes ownership, quality, and controls over data as an asset. It is foundational to trustworthy analytics and AI, spanning cataloging, lineage, and access. Jobs like this one are typically evaluated against frameworks such as data management frameworks, data quality and lineage standards, and privacy and security controls.

How to position yourself for this data governance job

Strong candidates emphasize data ownership and stewardship, quality and lineage, catalog and access controls, and enabling analytics and AI on a trusted data foundation. In your resume and outreach, tie your experience to how Monetary Authority of Singapore would apply data management frameworks, data quality and lineage standards, and privacy and security controls, and lead with concrete outcomes rather than duties.

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