AI Governance Testing and Monitoring Program Manager

Core Responsibilities

• Provide single-threaded accountability for Vanguard's enterprise AI Testing & Monitoring capability across the Responsible AI lifecycle.
• Lead and develop a team responsible for advancing testing, monitoring, and AI assurance capabilities.
• Define and execute the strategy, roadmap, operating model, and success metrics for AI testing, guardrails, and production monitoring.
• Partner with ES&F to operationalize Trusted AI Assessments and ensure assessment outcomes are incorporated into governance decisions, risk management processes, and deployment readiness requirements.
• Lead the evolution and adoption of Vanguard's AI Guardrails Program, including standards, effectiveness measurement, automation, and continuous improvement.
• Define and operationalize production monitoring capabilities, including risk indicators, issue escalation, remediation tracking, and governance reporting.
• Coordinate across business, technology, governance, privacy, compliance, legal, security, and platform teams to drive consistent implementation of Responsible AI testing and monitoring requirements.
• Translate regulatory, policy, and risk management expectations into scalable and sustainable operational capabilities.
• Provide executive reporting on program effectiveness, AI risk trends, monitoring outcomes, and capability maturity.
• Support audits, regulatory reviews, and governance forums through clear evidence, reporting, and traceability.
• Participates in special projects and performs other duties as assigned.

• Minimum of eight years of progressively responsible and related business experience, with at least four years of technical project management experience.
• Experience working across multiple functions to deliver enterprise-scale capabilities in regulated environments.
• Strong understanding of AI, technology risk, governance, security, privacy, or compliance practices.
• Previous people-leadership experience.
• Undergraduate degree in related field (Computer Science, Engineering) required.

• Experience with AI governance, Responsible AI, model risk management, technology risk, or AI assurance programs.
• Familiarity with AI testing, guardrails, observability, monitoring, or operational controls.
• Knowledge of emerging AI regulatory and compliance requirements.
• Experience implementing enterprise governance frameworks, controls, or monitoring solutions.
• Graduate degree