Senior AI Product Manager

Geisinger

1d•Remote

About The Position

Geisinger is operationalizing AI at scale across one of the nation's most integrated health systems, moving beyond pilots and proof of concepts to build capabilities that change how care is delivered and how operations run. This role works across clinical, operational, health plan, and pharmacy functions alongside AI product development and organizational leadership to identify and advance the AI opportunities that matter most. This role is where AI strategy becomes reality. You will own the product vision and delivery roadmap for a portfolio of clinical and operational AI initiatives, working across one of the most integrated health systems in the country to build solutions that change how care is delivered and how the organization runs. This is a role for someone who wants to lead AI product work that actually matters. You will define and drive the roadmap for AI initiatives across clinical, operational, health plan, and pharmacy domains, taking ideas from discovery through validation, deployment, and scale. You will work closely with data scientists, engineers, clinicians, and operational leaders to build AI solutions that are clinically sound, operationally viable, and genuinely adopted. This is not a role for someone who wants to manage a backlog. It is a role for someone who wants to own outcomes.

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)

Nice To Haves

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

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