Director, AI Product Management

Sutter Health•San Francisco, CA

12d•$107 - $171

About The Position

Leads Sutter Health’s artificial intelligence (AI) product delivery and product delivery team. The role will set strategy, build and mentor a high-performing product management team including solution architects, and partners across clinical, operational, data science, engineering, design, and compliance functions to translate priority use cases into safe, scalable, and measurable AI products. The role will also guide build-vs-buy decisions and vendor integrations. Success means consistent, responsible delivery of AI that improves outcomes, experience, and efficiency while establishing practices for monitoring and optimization. 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).

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.
Excellent communication and stakeholder influence; executive presence.
Bachelor’s degree in Computer Science, Computer Systems Engineering or related field
6 years recent relevant experience

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.
Hire, manage, and develop AI product managers (PM); set role expectations, career paths, and a culture of clarity, accountability, and inclusion.
Establish and scale best-practice playbooks for discovery, requirements, experimentation, launch, change management, and post-go-live learning loops.
Coach PMs on stakeholder influence, clinical workflow integration, and technical trade-offs.
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.
Lead experimentation, model monitoring/retraining, and workflow optimization.
Maintain product/model briefs, documentation, and change logs; ensure auditability and readiness for external review.
Build trusted relationships with executives, service-line leaders, frontline clinicians, and enabling functions.
Evaluate and manage external partnerships (vendors, startups, academics); scope pilots, negotiate, plan implementations, and measure outcomes.