
VP AI Risk Management
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Job overview
Moody’s Analytics is seeking a VP of Risk Management to provide independent second-line oversight across the AI lifecycle. The role reviews and conducts AI risk assessments, maintains governance frameworks aligned with NIST and ISO standards, monitors governance metrics, and advises on strategic roadmap alignment. Candidates should bring substantial risk, technology governance, or model validation experience, AI expertise, and stakeholder leadership; a related bachelor’s degree is required, while AI certifications are preferred.
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Full job description
14043 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 * 10+ years of experience in risk management, technology governance, or model validation, preferably within financial services or regulated industries * Proven expertise in AI risk assessment methodologies, model validation, and governance frameworks, including alignment with NIST AI Risk Management Framework, ISO 42001, and emerging regulatory standards * Strong understanding of AI and third-party risk as they relate to AI systems, including foundational models, Generative AI applications, and Agentic workflows * Experience with governance, risk, and compliance platforms such as IBM Open Pages, ServiceNow, or OneTrust * Demonstrated ability to engage and influence senior stakeholders across risk, legal, compliance, audit, and technology functions with clarity and credibility * Experience with Microsoft Office Suite including PowerPoint, Teams, Planner, and Copilot * Strong project governance skills with the ability to develop and maintain project plans, timelines, and executive-level status reporting * 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 organizationEducation * Bachelor's degree in Risk Management, Information Systems, or a related field required * AI certifications or advanced credentials in technology risk, governance, or model validation preferredResponsibilitiesThe VP, Risk Management drives AI governance and risk oversight at Moody's, serving as an independent second line of defense across the full AI lifecycle. * Review and validate AI risk assessments conducted by first-line teams for foundational models, Generative AI applications, and Agentic workflows, evaluating methodologies for effectiveness and compliance with internal standards * Lead and perform deep-dive risk assessments for AI systems, providing independent challenge and oversight of AI risk mitigation strategies and control effectiveness as second line of defense * Maintain AI governance frameworks aligned with NIST AI Risk Management Framework, ISO 42001, and emerging regulatory standards including the EU AI Act * Monitor and report Key Risk Indicators and metrics for AI governance maturity and compliance, partnering with AI Working Groups and Governance Committees to classify, track, and monitor AI implementations and associated risks * Maintain visibility into the AI enablement strategic roadmap, identify gaps or misalignments, and proactively recommend course corrections to ensure alignment with long-term organizational goals * Develop and maintain project plans, timelines, and status reports for AI governance and risk management i
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