AI Governance SME & Lead (US)

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, decommissionAuthor the documentation AI Use Policy, MRM standards, acceptable-use guidelines, escalation playbooksDrive alignment across AI Engineering, Model Risk, Compliance, Legal, and business unit leadsMap SR 11-7, OCC/FDIC AI guidance, and NIST AI RMF to practical engineering controlsPartner with platform engineers to embed controls (

Project description The AI Governance & Controls Lead is the senior individual contributor responsible for operationalizing client's AI governance framework: authoring and maintaining AI standards and controls, executing the policy exception and deviation processes, and producing the examiner-ready evidence that demonstrates our controls are enforced mechanically rather than attested annually. This role partners closely with Technology Risk Management, Model Risk Management, Compliance, Cybersec

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Job Title: AI Program Manager Reporting To: Chief Information Officer Work Schedule: Hybrid - Buffalo, NY Moog's Global IT function is seeking an AI Program Manag

AI/ML Risk & Controls Architect Responsibility - Designs the continuous monitoring framework: metrics, drift/performance thresholds, alerting cadence, replacing the annual point-in-time review - Defines the minimum viable guardrails and controls framework for agentic AI adoption (workstream 4): access controls, action boundaries, human-in-the-loop checkpoints, logging/auditability - Provides technical review of vendor AI architecture (model hosting, data flow, embedded-AI risk), working alongsid