Manager, Artificial Intelligence Governance

Posted 10 Days Ago
Be an Early Applicant
2 Locations
In-Office
156K-266K Annually
Senior level
Healthtech
The Role
Lead Sutter Health's AI governance program: set operating model and policies, manage a team of analysts, conduct high-complexity reviews, draft standards, prioritize AI use cases, and coordinate cross-functional stakeholders to integrate governance across model development and monitoring lifecycles.
Summary Generated by Built In

We are so glad you are interested in joining Sutter Health!

Organization:

SHSO-Sutter Health System Office-Valley

Position Overview:

Leads Sutter Health's artificial intelligence (AI) governance program. Sets the target operating model, policy framework, and program priorities that shape how AI governance is performed at Sutter Health and how it evolves within a rapidly changing regulatory, technical, and organizational landscape. Leads a team of AI governance analysts and operates the program directly alongside them — leading high-complexity reviews, drafting policy and standards, and making day-to-day prioritization decisions across a high-volume queue of AI use cases. Convenes and aligns the many groups that must participate in AI governance and partners closely with data science and applied AI leadership to integrate governance requirements across the model development and monitoring lifecycle.

Job Description:

****Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the office on a consistent basis to support team collaboration and business needs.****

EDUCATION:
Equivalent experience will be accepted in lieu of the required degree or diploma.

  • Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or related field.

TYPICAL EXPERIENCE:

  • 5 recent relevant experience

SKILLS AND KNOWLEDGE:

  • 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.

  • Direct experience supporting AI/ML or advanced analytics programs.

  • Strong organization and prioritization skills across a large, varied portfolio of work and competing demands.

  • Demonstrated ability to convene, align, and drive decisions among diverse stakeholder groups, including clinical, technical, legal, privacy, security, compliance, and operational.

  • Working knowledge of machine learning and generative AI concepts, the model development lifecycle, and common failure modes (bias, drift, hallucination, data leakage).

  • Possess an understanding of technical concepts related to AI observability, including performance instrumentation for deployed models; familiarity with advanced monitoring techniques such as Large Language Model (LLM)-as-a-judge evaluation, automated output quality assessment, and monitoring of agentic AI workflows, including tool use, multi-step reasoning, and autonomous decision chains.

  • Familiarity with AI governance frameworks (National Institute of Standards and Technology Artificial Intelligence Risk Management Framework [NIST AI RMF], Coalition for Health AI [CHAI] Assurance Standards, International Organization for Standardization/International Electrotechnical Commission [ISO/IEC] 42001), healthcare regulations (Health Insurance Portability and Accountability Act [HIPAA], Food and Drug Administration [FDA] Software as a Medical Device [SaMD] guidance, Office of the National Coordinator for Health Information Technology [ONC] Health Data, Technology, and Interoperability [HTI-1] rule), and emerging state-level AI regulation.

  • Demonstrated ability to design and operate governance processes that are practical, auditable, and minimize friction for delivery teams.

  • Strong facilitation and written communication; able to lead committees and translate complex AI risk concepts for executive, clinical, and front-line audiences.

  • Demonstrated ability to manage team capacity, prioritization, and delivery across a high-volume, multi-stakeholder portfolio.

  • Experience coaching and developing staff in both technical and governance/regulatory domains.

These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).

Job Shift:

Days

Schedule:

Full Time

Days of the Week:

Monday - Friday

Weekend Requirements:

None

Benefits:

Yes

Unions:

No

Position Status:

Exempt

Weekly Hours:

40

Employee Status:

Regular

Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.

Pay Range is $156,332.80 to $234,478.40 / annual salary. Bay Area - San Francisco Pay Range is $177,632.00 to $266,448.00 / annual salary.

The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.

Skills Required

  • Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or related field (or equivalent experience).
  • At least 5 years 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.
  • Direct experience supporting AI/ML or advanced analytics programs.
  • Strong organization and prioritization skills across a large, varied portfolio.
  • Demonstrated ability to convene, align, and drive decisions among clinical, technical, legal, privacy, security, compliance, and operational stakeholders.
  • Working knowledge of machine learning and generative AI concepts and common failure modes (bias, drift, hallucination, data leakage).
  • Understanding of AI observability and monitoring techniques, including LLM-as-a-judge evaluation, automated output quality assessment, and monitoring agentic AI workflows.
  • Familiarity with AI governance frameworks (NIST AI RMF, CHAI, ISO/IEC 42001) and healthcare regulations (HIPAA, FDA SaMD guidance, ONC HTI-1), and emerging state AI regulation.
  • Ability to design and operate practical, auditable governance processes that minimize friction for delivery teams.
  • Strong facilitation and written communication; ability to lead committees and translate complex AI risk concepts for executive and clinical audiences.
  • Demonstrated ability to manage team capacity, prioritization, and delivery across a high-volume, multi-stakeholder portfolio.
  • Experience coaching and developing staff in both technical and governance/regulatory domains.

Sutter Health Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutter Health and has not been reviewed or approved by Sutter Health.

  • Healthcare Strength Healthcare coverage is described as comprehensive, with broad networks and strong wellness support. Family coverage is characterized as low-cost or nearly free in some plan options, reinforcing perceived value.
  • Retirement Support Retirement offerings include employer matching and, in some cases, a pension after a tenure threshold. Supplemental protections like life and disability insurance add to the overall financial security package.
  • Leave & Time Off Breadth Paid time off is framed as generous, with examples of sizable PTO allotments early in tenure. Additional supports such as flexible scheduling and leave programs contribute to a sense of time-off breadth.

Sutter Health Insights

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The Company
HQ: Sacramento, CA
68,000 Employees
Year Founded: 1921

What We Do

Sutter Health is one of the nation's leading not-for-profit healthcare networks, which includes award-winning physician organizations, acute care hospitals, surgery centers, medical research facilities and specialty services. Our team of 68,000 doctors, employees and volunteers proudly cares for Northern California. Our facilities and care centers are located in large, urban cities and small, rural communities, from the Pacific Coast to the San Joaquin Valley. You’ll find us in San Francisco, Oakland, Sacramento, the snowy mountains of the Sierra Nevada and Lake Tahoe, Napa Valley, Yosemite and the coastal redwoods. We even have an affiliate in Hawaii. Join us and be part of a dedicated group of professionals committed to putting patients’ needs first and achieving the highest levels of quality, access and affordability.

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