Overview In this role, you will lead an AI governance function focused on automation, enablement, and continuous oversight across the enterprise. You will build and run governance agents that monitor, secure, and ensure compliance of AI throughout the SDLC. You'll guide a seasoned team that reviews complex scenarios beyond automation, driving practical paths forward and ensuring governance scales with delivery pace. As a senior leader, you represent AI governance in internal and external forums and shape a proactive, risk-aware culture. This is your opportunity to transform governance into an enabling function that accelerates safe AI adoption.
Compensation / Benefits- leave programs
- adoption assistance
- student loan repayment programs
- annual discretionary bonus
- incentive program
- benefits comprehensive
Responsibilities- Design, develop, and operate a suite of AI governance agents for security, risk classification, compliance, legal, and auditing across the full SDLC
- Integrate governance agents with existing enterprise systems and control frameworks for continuous, auditable oversight
- Lead a governance enablement team to handle complex scenarios and provide practical alternatives when automation cannot proceed as proposed
- Set service levels, escalation paths, and decision rights to keep governance responsive to delivery pace
- Build governance literacy through guidance, patterns, and reusable controls
- Represent New York Life AI in internal and external governance, risk, compliance, legal, and technology forums
- Evolve governance frameworks, policies, guardrails, and controls in response to changing technology and regulatory landscapes
- Oversee enterprise-wide governance across three tiers of AI usage, with particular focus on Tier 3 vendor-enabled AI
Key requirements- 12+ years in technology risk, model risk, AI/ML governance, or related fields with substantial leadership
- Proven experience building or modernizing governance functions rather than operating an existing one
- Hands-on fluency with foundation models, agentic systems, MLOps, evaluation/monitoring tooling, and AI security concerns
- Strong knowledge of AI regulatory standards (NIST AI RMF, NAIC, NYDFS, SR 11-7) and evolving AI regulation
- Ability to influence Legal, Compliance, Risk, Audit, InfoSec, and Procurement at a senior level
- Experience governing third-party/Vendor AI capabilities
- Executive communication skills for board and regulatory audiences
- Preferred: Insurance/financial services in regulated environments; prior external governance engagement; technical oversight of governance automation; advanced degree in related fields
- strategic influencing
- cross-functional collaboration
- stakeholder management
- foundation models
- agentic systems
- MLOps
