Lead AI - Governance, Security, Data Management

Role purpose

• Own the enterprise AI governance vision, forums, and decision rights.
• Lead policy, risk taxonomy, and control library for AI and GenAI.
• Manage the go/no-go escalation path for highimpact or highrisk use cases and align with Enterprise Risk Management (ERM) and emerging regulations.

Key responsibilities

• Lead the AI Governance Council and guide the AI SubCommittee on escalated or highrisk initiatives (go/no-go).
• Set principles, policies, and RACI across the AI lifecycle; manage the policy lifecycle and accountability across BUs.
• Approve resources and prioritize governance capabilities (usecase inventory, risk assessments, controls, monitoring).
• Sponsor the enterprise AI risk taxonomy, control library, and screening/assessment approach.
• Ensure governance integrates with ERM, Internal Audit, and complies with standards (e.g., ISO/IEC 42001, NIST AI RMF, PDPA/Thai regs).
• Run BU forums to approve AI projects, monitor KPIs, and handle firstline escalations.
• Close core gaps: formalize threelinesofdefense RACI, formalize AI SubCommittee, embed AI clauses in procurement, and stand up centralized inventory/GRC workflows.

Qualifications

• 10+ years in risk/governance/compliance or digital/AI leadership, including boardlevel communication.
• Working grasp of the AI/ML lifecycle (including GenAI risks and controls) and strong regulatory acumen.
• Proven experience establishing governance forums and scaling enterprise policies across multiple BUs