Office of Digitalisation, Data and AI - Deputy Manager (Data and AI Governance)

[What the role is]

The role translates Whole-of-Government (WOG) requirements, including Circular Minutes (CMs), IM8, AI governance directives, and related regulations, into practical institutional processes, controls, and guidance that can be adopted consistently across.

The incumbent drives governance maturity, promotes responsible use of data and AI, oversees governance risk assessments, and works closely with Schools and Departments to ensure compliance while enabling innovation and value creation from data and AI.

[What you will be working on]

1. Data & AI Governance Strategy, Policy and Standards

• Lead or support the review, enhancement and maintenance of Data & AI Governance Policy, Standards, Frameworks and Guidelines.
• Ensure governance policies remain aligned with evolving WOG directives, IM8 requirements, AI governance guidance, PDPA and other regulatory obligations.
• Identify policy gaps and recommend improvements to governance frameworks, controls and accountability structures.
• Develop governance standards, templates, playbooks, SOPs and guidance materials to support implementation.
• Support governance committees and working groups through policy papers, reports and recommendations.

2. Policy Interpretation and Translation into Operations

• Interpret government policies, circulars and governance requirements and translate them into practical operational processes.
• Lead or support the design of governance workflows covering data access, data sharing, data quality, metadata management, AI assessments, risk approvals and compliance monitoring.
• Work with business owners, data owners, system owners and data stewards to embed governance requirements into day-to-day operations.
• Develop governance operating procedures that balance compliance with business efficiency.
• Establish governance controls, escalation processes and assurance activities.

3. Data and AI Risk Management

• Conduct and facilitate Data and AI Governance Risk Assessments for new initiatives, systems, data-sharing requests and AI use cases.
• Review AI solutions against governance, ethics, privacy, security and operational risk requirements.
• Assess compliance with MOE and WOG governance expectations where applicable.
• Recommend risk mitigation measures and monitor implementation.
• Maintain governance risk registers and support reporting to management and governance committees.
• Support investigation and remediation of governance-related issues and policy breaches.

4. Governance Advisory and Compliance Management

• Serve as subject matter expert on Data and AI Governance.
• Advise Schools and Departments on governance requirements, interpretation of policies and compliance obligations.
• Monitor governance compliance and maturity through reviews, self-assessments and audits.
• Develop governance dashboards, metrics and reports for management oversight.
• Coordinate responses to governance reviews, audits and assurance exercises.

5. Stakeholder Engagement and Change Management

• Build strong partnerships with Schools, Departments, IT, HR, Legal, Risk and other stakeholders.
• Facilitate cross-functional discussions to resolve governance issues and align ownership, accountability and decision-making.
• Drive governance awareness programmes, workshops and capability-building initiatives.
• Promote a strong culture of responsible, ethical and secure use of data and AI.
• Influence stakeholders across all levels through effective communication and engagement.

6. Communication and Governance Enablement

• Simplify complex regulatory and policy requirements into practical guidance understandable by non-specialists.
• Prepare awareness materials, presentations, training resources and governance communications.
• Communicate governance requirements in clear, business-friendly language.
• Drive compliance through education, engagement and stakeholder ownership rather than enforcement alone.
• Champion adoption of governance best practices institution-wide.

[What we are looking for]

• Qualification in Information Systems, Data Management, Computer Science, Public Policy, Governance, Risk Management, Business, Law or a related discipline.
• Relevant certifications in data governance, privacy, risk management, AI governance or cybersecurity will be advantageous.

Experience

• At least 5-8 years of experience in data governance, information governance, risk management, compliance, cybersecurity, AI governance or related fields.
• Experience interpreting government regulations, circulars, standards or policy frameworks.
• Experience developing policies, governance frameworks, SOPs and operating models.
• Experience conducting risk assessments and governance reviews.
• Experience working with enterprise stakeholders across multiple business functions.

Knowledge & Skills

• Strong understanding of: o Whole-of-Government Circular Minutes (CMs) o IM8 o Government data governance requirements o AI governance and responsible AI principles o Data protection and privacy requirements o Risk management and internal controls
• Excellent written and verbal communication skills.
• Ability to explain complex governance concepts in simple, practical terms.
• Strong facilitation, negotiation and influencing skills.
• Strong stakeholder engagement and collaboration capabilities.