AI Governance Lead

AI Governance Lead 1 Role | Start: Immediate

What They'll Do

• Define M&T's AI governance lifecycle from scratch: intake, risk tiering, approval, monitoring, decommission
• Author the documentation - AI Use Policy, MRM standards, acceptable-use guidelines, escalation playbooks
• Drive alignment across AI Engineering, Model Risk, Compliance, Legal, and business unit leads
• Map SR 11-7, OCC/FDIC AI guidance, and NIST AI RMF to practical engineering controls
• Partner with platform engineers to embed controls (audit logs, content filters, explainability) into the Azure AI stack

Must-Have Skills

• SR 11-7 Model Risk Management - deep, applied knowledge including GenAI use cases
• Policy and process writing for both technical and executive audiences
• Stakeholder alignment experience across risk, compliance, legal, and technology at a bank
• 7+ yrs in model governance, risk management, or tech compliance at a regulated institution
• Enough AI/ML fluency to challenge engineers without being an ML practitioner