Senior AI Governance Manager

About the role

Reporting to the Head, Enterprise Data Governance, the Senior AI Governance Manager leads PACS (Prudential Assurance Corporation Singapore)'s AI governance initiatives, ensuring responsible, ethical and compliant deployment of AI systems under the Group-led, LBU-driven Hub & Spoke model. The role also plays a key part in the Local AI Governance Working Group (AIWG), overseeing the lifecycle of PACS's AI systems from registration through risk assessment, approval, monitoring and recertification.

Key responsibilities

• Ensure the Local AIWG complies with the Group AI Governance Framework, including AI Ethics Principles, AI Governance Standards and the endorsed PACS Terms of Reference.
• Establish, maintain and enforce the PACS AI Governance Standard Operating Procedures, assess gaps against regulatory requirements and obtain Group AIWG approval for deviations.
• Support the Local AIWG structure as chairperson, track action items and keep accurate documentation.
• Maintain the PACS AI Systems Register so that information is complete, accurate and up to date.
• Perform initial reviews and risk assessments of AI systems, including generative AI models, in line with MAS guidelines and the Group framework, and guide stakeholders through AIWG review, impact assessment and approval.
• Ensure AI systems are used only for approved purposes, coordinate performance evaluations, and notify AIWG promptly of non-conformities, incidents or complaints.
• Monitor controls and conditions set in AIWG approvals before production deployment, and collaborate on data, information security and privacy requirements.
• Develop local SOPs, guidelines and processes, contribute to refining AI governance standards and scan for emerging AI technologies.
• Engage stakeholders, report to Group AIWG on status, risks, audits and improvements, support AI training and awareness, and represent PACS in industry committees.

Required profile

• 7+ years of experience in data governance and privacy, AI/ML systems or risk management.
• Bachelor's or Master's degree in Data Science, Computer Science, Information Governance or a related field.
• Certified Artificial Intelligence Governance Professional (AIGP) and/or Lead AI Risk Manager.
• Strong stakeholder management, communication and decision-making skills.

Required skills

• Understanding of AI ethics, regulatory compliance and data privacy.
• Familiarity with AI governance tools such as OneTrust and frameworks including NIST AI RMF, ISO/IEC 42001:2023, OECD AI Principles, EU AI Act, IMDA Model AI Governance Framework, AI Verify Framework, MAS AIRG and MindForge Handbook.