AI Product Manager, Discovery
Geisinger
full-time
Posted on:
Location Type: Remote
Location: Pennsylvania • United States
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About the role
- 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
- 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
- Healthcare benefits for full time and part time positions from day one
- Vision, dental, and domestic partner benefits
- Encouragement of collaboration, cooperation, and collegiality
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product managementbusiness analysishealthcare operationsstrategy experiencevendor evaluationsRFI developmenttechnology assessmentsagile product developmentAImachine learning
Soft Skills
interpersonal skillscommunication skillsrelationship buildingindependent worksynthesizing informationproblem definitiontrust buildinginitiativecollaborationadaptability