Head of AI Governance

Purpose   Lead the execution of Guardian’s AI governance program by operationalizing enterprise policies, standards, and guardrails across AI models, copilots, agents, and   RAG ‑ based   workflows. This role ensures AI governance is consistently implemented, scalable, and embedded into delivery and platform workflows—enabling responsible AI adoption while managing risk.   The AI Governance Lead partners closely with Data Science, AI Platforms, Data Management, Data Governance, Risk, Legal, and Technology teams to translate enterprise AI governance strategy into practical processes, controls, and   day ‑ to ‑ day   ways of working.

AI Governance Execution & Program Leadership   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.   Ensure governance processes are repeatable,   risk ‑ based , and scalable—not bespoke or ad hoc.   Operating Model & Workflow Integration   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.   Embed AI governance controls into platforms and delivery   workflows   so controls are observable, durable, and auditable.   Standards, Controls & Risk Management   Operationalize governance standards for AI development, deployment, monitoring, and retirement.   Implement   risk ‑ based   controls and escalation paths based on use case type, data sensitivity, and impact.   Partner with Risk, Legal, Compliance, and Security teams to ensure AI governance execution meets internal and external requirements.   Cross ‑ Functional   Partnership   Serve as the primary AI governance partner   to   data science, analytics, engineering, and product teams.   Coordinate with Data Management and Data Governance leaders to ensure AI governance aligns with data controls, quality expectations, and   AI ‑ readiness   requirements.   Support enterprise governance forums by preparing materials, surfacing risks, and enabling   timely   decision ‑ making .   Measurement & Continuous Improvement   Define and track operational KPIs for AI governance execution, including coverage, exceptions, monitoring effectiveness, and remediation trends.   Identify   gaps, inefficiencies, and emerging risks; recommend adjustments to processes, controls, and tooling.   Continuously improve governance mechanisms as AI capabilities and use cases evolve.   Leadership & Influence   Provide leadership to AI governance practitioners and analysts; set priorities, manage workload, and build governance   expertise .   Influence senior stakeholders across business, technology, and risk through strong execution, transparency, and practical   problem ‑ solving .     Requirements   - 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   tr anslate 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.   Salary Range: $152,290.00 - $250,195.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for