SVP-Technology & AI Risk Management

New York, NY

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Posted 07/08/2026

Job reference 14065

Experience level Experienced Hire

Job category Engineering & Technology

Line of business CRR

At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills And Competencies

• 15+ years of experience in technology risk and AI governance within a complex global organization, preferably in financial services or a highly regulated industry
• Hands-on technical depth with a strong working knowledge of technology infrastructure, cybersecurity, IT resilience, data environments, and AI/ML systems with the credibility to engage and challenge first-line technology and engineering stakeholders
• Demonstrated second-line risk management experience across both core technology risk domains including cybersecurity, IT operations, data risk, and third-party technology risk and AI risk governance, including oversight of AI lifecycle controls, model risk, and Agentic AI frameworks
• Strong track record of engaging and influencing senior technology and cybersecurity leaders through informed, independent risk perspectives that balance operational needs with enterprise risk standards
• Experience designing and implementing enterprise risk frameworks across technology and AI domains, including governance structures, control design, escalation pathways, and monitoring mechanisms
• Strong stakeholder management and executive presence, with the ability to synthesize complex technology and AI risks into clear, decision-oriented communications for senior leadership, regulators, and the Board
• Proven ability to partner cross-functionally across Cybersecurity, Technology, Data, AI, Legal, and Compliance to drive a cohesive, enterprise-wide risk agenda
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization

Education

• Bachelor’s degree in Computer Science, Information Technology, Risk Management, Business, or a related field required
• Advanced degree (MBA, MS, or equivalent) preferred
• Relevant certifications in risk management, cybersecurity, or AI governance preferred (e.g., CRISC, CISSP, ISO 42001, NIST AI RMF)

Responsibilities The SVP-Head of Technology and AI Risk leads enterprise second-line oversight across both core technology risk and AI risk domains, serving as the firm’s senior risk authority on technology governance, resilience, and the responsible adoption of AI.

• Establish, lead, and evolve the enterprise technology and AI risk management strategy, frameworks, governance operations, and resilience posture across a complex global organization
• Provide independent second-line challenge and oversight across core technology risk domains including cybersecurity, IT operations, data risk, third-party technology risk, and IT resilience
• Oversee AI risk governance across the full lifecycle including design, development, testing, deployment, monitoring, and retirement, ensuring controls, accountability, and documentation standards are consistently applied
• Partner with the Chief Information Security Officer, Chief Technology Officer, and AI leadership to embed risk-by-design principles across both technology programs an…