AI Product Manager, Discovery

Job Summary

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 on the front lines of finding problems worth solving. You will build relationships across a complex health system, surface AI opportunities others have not seen yet, and shape what the organization invests in next. This role is for someone who is energized by exploration and comfortable with ambiguity. You will move across Geisinger clinical, operational, health plan, and pharmacy functions, find problems that AI is genuinely positioned to solve, build evidence to turn those problems into investment decisions, and make the case for what deserves attention.

• 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 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 what you surface is actionable and that handoffs from discovery into delivery are clean

Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.

• 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 degree required

• Prior exposure to clinical AI, EHR systems, or healthcare IT environments
• Experience supporting vendor evaluations, RFI development, or technology assessments
• Familiarity with agile product development methodologies and discovery to delivery transitions
• Experience working in or closely with a health system, digital health company, or healthcare consulting environment

Bachelor's Degree – Related Field of Study (Required), Master's Degree – Related Field of Study (Preferred)

Minimum of 3 years of related work experience (Required)