Senior AI Product Manager

Geisinger is operationalizing AI at scale across one of the nation's most integrated health systems. This role involves leading AI product work across clinical, operational, health plan, and pharmacy domains to define and drive the roadmap for AI initiatives.

Responsibilities:

• Define and drive the product vision and roadmap for a portfolio of AI initiatives, balancing clinical impact, operational feasibility, and strategic priority
• Lead AI products through the full lifecycle from problem definition and discovery through build, validation in clinical settings, deployment, and ongoing iteration
• Work directly with clinicians, operational leaders, data scientists, and engineers to translate real world problems into well scoped, buildable AI solutions
• Establish clear success criteria and measurement frameworks for each initiative, tracking performance in production and using data to drive continuous improvement
• Coordinate across product, platform, governance, and clinical teams to keep initiatives moving and ensure the right people are engaged at the right stages
• Evaluate build, buy, and partner options for new capabilities, bringing a rigorous and evidence first perspective to make versus procure decisions
• Ensure AI products meet clinical validation requirements and are ready for frontline use, working with clinical informatics, compliance, and legal stakeholders as needed
• Monitor the competitive and market landscape to identify emerging capabilities and inform how the product roadmap evolves over time

Requirements:

• 5 or more years of product management experience in healthcare, digital health, or a related field
• Demonstrated ability to lead AI or data driven products through full lifecycle delivery in a complex, multi stakeholder environment
• Experience working directly with data scientists and engineers, with enough technical fluency to ask hard questions and make informed tradeoffs
• Strong communication and stakeholder engagement skills, with the ability to build alignment across clinical, operational, and technical audiences
• Deep familiarity with healthcare operations, clinical workflows, revenue cycle, or health plan functions
• Experience defining and tracking product KPIs and using production data to drive iteration and improvement
• Bachelor degree required; advanced degree in health informatics, business, or a related field preferred
• Minimum of 5 years-Related work experience (Required)
• Experience with Epic and its AI ecosystem including NoteReader, Cosmos, and the Showroom marketplace
• Familiarity with clinical AI applications across ambient documentation, clinical decision support, revenue cycle, or prior authorization
• Experience working within agile delivery teams in a healthcare or regulated industry environment
• Exposure to AI governance, responsible AI principles, or clinical validation methodologies
• Master's Degree-Related Field of Study (Preferred)