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Director, AI Product Management

Sutter Health

$107 - $171
Dec 22, 2025
San Francisco, CA, US
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Sutter Health is looking to improve outcomes, experience, and efficiency by delivering artificial intelligence (AI) products that are safe, scalable, and measurable.

Requirements

  • Knowledge of product management, including leading project managers or a product organization
  • Evidence of delivering AI/ML, analytics, or software products from concept to scaled operations within complex organizations
  • Demonstrated success with portfolio management, prioritization frameworks, and measurable value realization
  • Expert in product strategy, roadmap development, backlog/prioritization, and agile delivery.
  • Deep familiarity with clinical workflows, electronic health records, regulatory and privacy considerations, and change management in care settings.
  • Strong quantitative and qualitative decision-making; comfort with product analytics, KPI design, and experimentation.
  • Ability to balance user experience, clinical safety, model performance, data availability, and business constraints.

Responsibilities

  • Own the AI product strategy across service lines and operations; align roadmaps to system goals and the enterprise AI strategy.
  • Operate a portfolio process (intake, sizing, prioritization, resourcing) balancing productivity, clinical impact, and innovation bets.
  • Embed responsible AI standards and product risk segmentation across the lifecycle.
  • Drive end-to-end execution with data science, engineering, clinical informatics, operations, legal/compliance, privacy/security, user experience, and analytics.
  • Ensure clear product requirements, success metrics, and phased delivery plans (silent validation, pilots, staged rollouts).
  • Remove roadblocks, manage dependencies, and ensure quality, safety, and adoption at the point of care.
  • Define portfolio and product key performance indicators tied to clinical, operational, and financial outcomes, institute dashboards and readouts.

Other

  • Bachelor’s degree in Computer Science, Computer Systems Engineering or related field
  • 6 years recent relevant experience
  • Excellent communication and stakeholder influence; executive presence.
  • Ability to work Monday - Friday, with weekend requirements as needed.
  • Full-time schedule with 40 hours per week.