Senior AI Governance Manager

Prudential’s purpose is to be partners for every life and protectors for every future.

Reporting to the Head, Enterprise Data Governance, the Senior AI Governance Manager will lead 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.

ROLE DUTIES & RESPONSIBILITIES:

Governance & Oversight

• Ensure PACS Local AIWG complies with Group AI Governance Framework, including AI Ethics Principles, AI Governance Standards, and endorsed PACS Terms of Reference.
• Establish, maintain and enforce the PACS AI Governance Standard Operating Procedures to meet regulatory requirements and relevant Group Policies and Standards.
• Assess gaps against regulatory requirements, Group Policies, Standards and addressing them and obtaining approval from Group AIWG for any deviation.
• Support establishment and maintenance of Local AIWG structure as the chairperson tracking action items, and maintaining accurate documentation for Local AIWG activities.
• Oversee the maintenance of the PACS AI Systems Register, ensuring information and documentation is complete, accurate and up to date.

Risk Management & Compliance

• Perform initial reviews and risk assessments of AI systems, including Generative AI models, to ensure compliance with MAS guidelines and Group AI governance framework, and support comprehensive risk evaluations, reporting risk ratings to Group AIWG and relevant Council.
• Guide PACS stakeholders in preparing and submitting AI systems for AIWG review, impact assessment, and approval.
• Ensure AI systems are used strictly for approved purposes, inline with what’s reported in the AI Systems Register.
• Coordinate if needed, evaluation of AI model performance against established metrics, ensuring systems remain fit for use.
• Promptly notify Local and Group AIWG of any AI system-related non-conformities, incidents, or complaints.
• Monitor the implementation of controls and delivery of conditions prescribed in AIWG approvals prior to production deployment.
• Collaborate with all relevant stakeholders to ensure data, information security and privacy requirements are addressed throughout the AI system lifecycle.

Policy & Standards Development

• Establish and maintain local SOPs, guidelines, and processes that reflect both Group / Local AIWG requirements and local regulatory standards.
• Contribute to the ongoing refinement of AI governance standards and participate in horizon scanning for emerging AI technologies.
• Collaborate with Group AI, Cyber & AI team and other PACS stakeholders to ensure local governance remains aligned with evolving regulatory expectations.

Stakeholder Engagement

• Coordinate all involved stakeholders on AI-related initiatives.
• Maintain regular engagement with Group AIWG and provide reports on AI system status, risk indicators, regulatory updates, incidents, audits, and improvement initiatives.
• Support responsible AI training and awareness to drive safe AI practices for PACS teams.
• Participate in and update relevant Industry level committee or forum representing PACS.

WHO WE ARE LOOKING FOR:

Competencies & Personal Traits

• Driven and Self-initiated individual.
• Strong stakeholder management.
• Strong communication skills, ability to storyline and engage in focused discussions.
• When empowered, not afraid to make decisions.
• Operate effectively even when things are not completely certain.

Working Experience

• 7+ years of experience in data governance & privacy, AI/ML systems, or risk management.

Professional Qualifications and Technical Knowledge

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Governance, or related field.
• Certified Artificial Intelligence Governance Professional (AIGP) and / or Lead AI Risk Manager.
• Strong understanding of AI ethics, regulatory compliance, and data privacy.
• Familiarity with AI governance tools (e.g., OneTrust) and frameworks including:
• NIST AI Risk Management Framework (AI RMF).
• ISO/IEC 42001:2023 – AI Management System Standard.
• OECD AI Principles.
• EU Artificial Intelligence Act.
• IMDA’s Model AI Governance Framework.
• AI Verify Framework & Foundation.
• MAS Artificial Intelligence (AI) Risk Management (AIRG).
• MindForge Handbook.