Lead the execution of Guardian’s AI governance program across analytics, AI, and agentic use cases.
Implement enterprise AI governance policies, standards, and guardrails in alignment with defined risk appetite and regulatory expectations.
Own the AI governance operating model, including intake, review, escalation, monitoring, and change management processes.
Govern AI model lifecycles and AI system behaviors across models, copilots, agents, and RAG workflows, including retrieval strategies, tool use, actions, and human ‑ in ‑ the ‑ loop requirements.
Operationalize governance standards for AI development, deployment, monitoring, and retirement.
Serve as the primary AI governance partner to data science, analytics, engineering, and product teams.
Define and track operational KPIs for AI governance execution, including coverage, exceptions, monitoring effectiveness, and remediation trends.
Provide leadership to AI governance practitioners and analysts; set priorities, manage workload, and build governance expertise.

12+ years of experience in data, analytics, AI, technology risk, or related disciplines.
Demonstrated experience governing AI systems, including models and agentic workflows, at enterprise scale.
Strong understanding of AI lifecycle considerations, data usage patterns, and risk management principles.
Proven ability to develop and translate strategy into executable standards, workflows, and operating models.
Experience influencing senior stakeholders across business, technology, risk, and legal teams.
Excellent communication skills and ability to operate through influence rather than direct control.

Head of AI Governance

Key skills