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Jobs · Engineering · New York

Head of AI Governance

Guardian Life · New York, NY · 2 wk ago
HybridEngineering$152k–$250k/yrFull-time

About the role

The AI Governance Lead plays a pivotal role in leading the implementation and operationalization of Guardian’s AI governance program. This includes translating enterprise AI governance strategy into practical processes, controls, and day-to-day ways of working, ensuring that AI governance is consistent, scalable, and embedded into delivery and platform workflows.

Responsibilities

  • 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.

  • Embed AI governance controls into platforms and delivery workflows so controls are observable, durable, and auditable.

  • 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.

  • 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.

  • 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.

  • 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 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.

Pay

$152,290.00 - $250,195.00

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