AI Governance Manager for AI Singapore (AI Talent Development)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

National University of Singapore (NUS) through AISG seeks an experienced AI Governance Strategy Manager to contribute to the development and operationalisation of an AI governance framework in partnership with SAIC.

The role involves shaping the AI strategy roadmap, governance playbooks, and oversight of AI risk across the product lifecycle, with emphasis on regulatory compliance and stakeholder engagement. A strong background in governance and data-driven metrics is essential.

Qualifications

• Degree in public policy, law, governance, computer science, data science, or equivalent.
• 6+ years of experience in governance, risk, compliance, policy, technology assurance, or related roles.
• Demonstrated AI literacy: able to work credibly with technical teams and understand modern GenAI patterns to govern them.
• Strong quantitative skills for data-driven KPI design, dashboarding, and governance metrics.
• Practical capability to evaluate risk in AI-enabled workflows, including retrieval, tool-use automation, and human-in-the-loop controls via LLMOps.
• Strong stakeholder management and writing skills; able to draft playbooks, decision matrices, and briefing packs.

Responsibilities

• Contribute to the development of the AI Strategy Roadmap outlining objectives and guidelines for AI tools, models, deployment, and use-case discovery.
• Contribute to the AI governance playbook development to aid operationalisation of governance strategy.
• Collaborate with cross-functional teams to influence AI-related risk considerations across the product lifecycle.
• Provide regular reports and insights on AI governance effectiveness and track governance metrics.
• Conduct strategic foresight to develop future scenarios and identify opportunities to optimise AI governance policies.
• Provide updates on evolving AI-related legal and regulatory requirements.
• Manage and influence internal senior, cross-functional, and external industry and regulatory stakeholders.

Skills

AI governance

Stakeholder management

Writing & communication

Data-driven KPI design

Education

Degree in public policy, law, governance, computer science, data science

Tools

LLMOps practices

Job description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI. AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI Governance Strategy Manager to contribute to the development and operationalisation of an AI Governance Framework.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

• Contribute to the development of the AI Strategy Roadmap which outlines the objectives and guidelines for AI tools and models, deployment, and use-case discovery, and usage of AI.
• Contribute to the development and implementation of the AI governance playbook that aids in operationalisation of the AI governance strategy, providing a structured approach to navigating AI governance challenges and opportunities.
• Work closely with cross-functional teams to influence considerations of AI-related risks from throughout the entire product development lifecycle.
• Provide regular reports and insights on AI governance effectiveness and continually track and evaluate these metrics.
• Conduct strategic foresight and research to develop future scenarios and identify opportunities to optimise AI governance policies.
• Provide updates on the evolving AI-related legal and regulatory requirements.
• Manage, collaborate with, and influence internal senior, cross-functional and external industry, and regulatory stakeholders.

Qualifications

• Degree in public policy, law, governance, computer science, data science, or equivalent.
• 6+ years of experience in governance, risk, compliance, policy, technology assurance, or related roles.
• Demonstrated AI literacy: able to work credibly with technical teams and understand modern GenAI patterns to govern them (e.g., RAG, agentic workflows, and multimodal AI). (Multimodal adoption and system capability expansion are widely tracked in 2025–2026 industry coverage.
• Strong quantitative skills for data-driven KPI design, dashboarding, and governance metrics that measure accountability and impact.
• Practical capability to evaluate risk in AI-enabled workflows, including retrieval, tool-use automation, and human-in-the-loop controls (often operationalised through LLMOps practices in enterprise settings).
• Strong stakeholder management and writing skills; able to draft playbooks, decision matrices, and briefing packs.