Manager, Artificial Intelligence Governance

Sutter Health

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$156,332–$234,478 / yr
Posted
43 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $195k
$142k most similar roles pay here $260k

This role pays less than 52% of similar roles. Most pay $165,900–$248,825 — the shaded band above. At the midpoint, this role pays about $195k versus about $207k for comparable roles.

Based on 239 similar postings.

Employer

About Sutter Health

Sutter Health is a not-for-profit integrated health delivery system providing a comprehensive range of hospital and outpatient care services across Northern California. Industry: Healthcare & Hospital Services

Sutter Health currently has 4 open roles on FindRole.

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At a glance

TL;DR · Manager, Artificial Intelligence Governance

Manager, Artificial Intelligence Governance leads the artificial intelligence governance program at Sutter Health. This role involves setting the target operating model, policy framework, and program priorities while managing a team of AI governance analysts. The manager performs high-complexity reviews, drafts policies and standards, and manages day-to-day prioritization for a high-volume queue of use cases. They collaborate with data science and applied AI leadership to integrate requirements across the model development and monitoring lifecycle. Key competencies include experience in healthcare data governance, model risk management, and regulatory compliance. The role requires knowledge of machine learning, generative AI, and frameworks like NIST AI RMF and ISO/IEC 42001. Technical expertise includes understanding LLM-as-a-judge evaluation, agentic AI workflows, and monitoring for bias or drift while navigating healthcare regulations such as HIPAA and FDA SaMD guidance.

What you'll do

  • Lead the artificial intelligence governance program by establishing operating models, policy frameworks, and strategic priorities.
  • Manage a team of AI governance analysts while performing high-complexity reviews and drafting technical standards.
  • Prioritize a high-volume queue of AI use cases across various departments and projects.
  • Align diverse stakeholder groups including clinical, legal, privacy, security, and data science teams on governance requirements.
  • Integrate governance requirements into the model development and monitoring lifecycle for advanced analytics.
  • Design and operate practical, auditable governance processes that minimize friction for delivery teams.
  • Translate complex AI risk concepts into actionable information for executive and front-line audiences.
  • Coach and develop staff in both technical machine learning domains and regulatory compliance areas.

What we're looking for

  • Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or a related field.
  • Recent relevant experience.
  • Experience in healthcare data governance, AI/ML governance, model risk management, or regulatory compliance.
  • Experience leading or coordinating cross-functional governance, risk, or compliance programs.
  • Working knowledge of machine learning and generative AI concepts, including the model development lifecycle and common failure modes.
  • Familiarity with AI governance frameworks such as NIST AI RMF, CHAI Assurance Standards, and ISO/IEC 42001.
  • Knowledge of healthcare regulations including HIPAA, FDA SaMD guidance, and ONC HTI-1 rules.
  • Demonstrated ability to convene, align, and drive decisions among diverse stakeholder groups across clinical, technical, legal, and security domains.

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