AI Product Manager, Discovery

Location:

Work from home (Pennsylvania)

Shift:

Days (United States of America)

Scheduled Weekly Hours:

40

Worker Type:

Regular

Exemption Status:

Yes

Job Summary:

Why Geisinger:
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.
Position Summary:
This is a role for someone who is energized by exploration and comfortable with ambiguity. You will spend your time moving across Geisinger clinical, operational, health plan, and pharmacy functions, finding the problems that AI is genuinely positioned to solve and building the evidence that turns those problems into investment decisions. You will not be handed a list of opportunities to document. You will go find them, test whether they are real, and make the case for what deserves attention.

Job Duties:

Key Responsibilities:

• 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

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.

Position Details:

Required Qualifications:

• 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

Preferred Qualifications:

• 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

Education:

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

Experience:

Minimum of 3 years-Related work experience (Required)

Certification(s) and License(s):

Skills:

Agile development methodologies and tools, AI Concepts, Analytical Skills (Inactive), Communication, Machine Learning (ML)

OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.

• KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
• EXCELLENCE: We treasure colleagues who humbly strive for excellence.
• LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
• INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
• SAFETY: We provide a safe environment for our patients and members and the Geisinger family. 

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.

We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all.  We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.