Senior AI Governance | GSC (client-based)

Key responsibilities

Assessment execution

• Perform structured reviews of AI governance frameworks, policies, standards, procedures, operating models and supporting evidence.

• Map existing practices against engagement criteria, including MAS AIRG requirements where applicable, and maintain requirements traceability.

• Document observations, gaps, supporting evidence, preliminary risk implications and possible improvement actions for Singapore team review.

• Prepare clear and complete workpapers that support engagement conclusions.

Governance artefacts and analysis

• Develop first drafts of governance artefacts such as policies, standards, procedures, role descriptions, committee terms of reference, lifecycle gates and control descriptions.

• Support AI inventory reviews, risk-tiering exercises, third-party AI assessments and lifecycle control mapping.

• Conduct benchmarking and research on AI governance, AI risk, data, privacy and technology-control practices.

• Convert research and evidence into concise, properly structured content for client reports and presentations.

Agentic AI governance support

• Research Agentic AI risks, governance practices and runtime controls relevant to assigned use cases.

• Support mapping of risk scenarios to preventive, detective and responsive controls.

• Prepare draft control descriptions, testing considerations and monitoring requirements for review by Singapore specialists.

Experience

• 3-5 years of relevant experience in consulting, technology risk, IT audit, cyber risk, governance and compliance, data governance or a related field.

• Experience producing structured assessment workpapers and client-ready reports or presentations.

• Experience working with remote or cross-border teams is advantageous.

• Exposure to financial services or other regulated sectors is preferred.

Preferred backgrounds

• Technology risk or IT audit

• Cyber governance, risk and compliance

• Data governance, privacy or data risk

• Operational risk or internal controls

• AI governance, responsible AI or digital trust