AI Product Manager, Discovery

Geisinger

AI Product Manager managing AI opportunities across clinical and operational functions in healthcare. Fostering relationships and guiding strategic investments with evidence-based decision making.

Posted 4/16/2026full-timeRemote • Pennsylvania • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Build and maintain relationships across clinical, operational, health plan, and pharmacy functions, proactively seeking out unmet needs and AI opportunity areas that others have not surfaced
Conduct your own discovery sessions with frontline staff, department leaders, and subject matter experts, developing a genuine understanding of workflow pain points and strategic priorities
Research the market independently, tracking what AI vendors are building, what peer health systems are deploying, and where the evidence is strong enough to warrant Geisinger attention
Test ideas quickly using lightweight concept sketches, process maps, or rough prototypes to sharpen problem definitions and validate whether a proposed solution direction makes sense before deeper investment
Translate what you find into clear, structured opportunity briefs and problem statements that give leadership the information needed to make confident investment decisions
Support vendor evaluations by developing evaluation criteria, probing beneath sales narratives to assess production reality, and synthesizing findings into actionable recommendations
Maintain an honest, current view of the opportunity pipeline and share it regularly with the team so discovery work stays connected to portfolio priorities
Work closely with the AI product development organization to ensure that what you surface is actionable and that handoffs from discovery into delivery are clean

Requirements

What you’ll need

3 or more years of product management, business analysis, healthcare operations, or strategy experience in a technology-driven environment
Demonstrated ability to work independently, initiating outreach, building relationships, and advancing work without waiting for direction
Strong interpersonal and communication skills with the ability to build trust quickly across clinical, operational, and technical stakeholders
Comfort synthesizing ambiguous information into structured problem statements and opportunity documentation
Familiarity with AI, machine learning, or data science concepts sufficient to engage credibly with technical stakeholders
Healthcare industry experience or a strong desire to develop domain expertise in health system operations
Bachelor's degree required
Prior exposure to clinical AI, EHR systems, or healthcare IT environments (Preferred)
Experience supporting vendor evaluations, RFI development, or technology assessments (Preferred)
Familiarity with agile product development methodologies and discovery to delivery transitions (Preferred)
Experience working in or closely with a health system, digital health company, or healthcare consulting environment (Preferred)

Benefits

Comp & perks

Healthcare benefits for full time and part time positions from day one
Vision, dental, and domestic partner benefits
Encouragement of collaboration, cooperation, and collegiality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

product managementbusiness analysishealthcare operationsstrategy experiencevendor evaluationsRFI developmenttechnology assessmentsagile product developmentAImachine learning

Soft Skills

interpersonal skillscommunication skillsrelationship buildingindependent worksynthesizing informationproblem definitiontrust buildinginitiativecollaborationadaptability