AI Product Manager
$94,640–$169,520 year
RemoteMemphis, Tennessee, United States
Memphis, Tennessee, United StatesRemoteFull Time$94,640–$169,520 yearLarge
Full TimeLarge
Job Summary
Lead the institutional product strategy for AI solutions by identifying high-value opportunities across clinical, administrative, and operational workflows. Translate workflow pain points into clear problem statements, business cases, and success metrics while evaluating vendor options and prioritizing the right-fit products. Build trusted relationships with clinicians, administrators, IS, data, and technical teams to clarify tradeoffs, guide implementation readiness, and drive adoption. Lead pilots, structured evaluations, and cross-functional forums to assess strategic fit, risks, and value realization. Ensure product decisions align with enterprise architecture, governance requirements, and security standards. Monitor performance, benefits realization, and user feedback to communicate evidence-based updates to stakeholders and leadership.
Required Qualifications
- Bachelor's degree in computer science, data science, information science, business, or related field
- 5+ years in Information Technology implementation, application management, data management/advanced analytics, and governance
- 7+ years of experience in product management, product strategy, digital health, healthcare technology, enterprise technology evaluation, or a related field
- Proven ability to engage, influence, and collaborate with diverse stakeholders across clinical, business, and executive environments
- Strong curiosity and evolving knowledge of GenAI/AI technologies, with the ability to anticipate industry trends
- Experience working with a wide range of partners—from established enterprise vendors to emerging start-ups
- Skilled in analytics, experimentation, and data storytelling, with the capability to craft and deliver compelling, high-impact presentations
- Comfortable interacting with senior leaders and clinical staff to drive strategic discussions and decision-making
- Working knowledge of GenAI/AI solutions and their practical application in organizational contexts
- Experience evaluating, implementing, scaling, or supporting adoption of digital, analytics, automation, AI, or GenAI products in an enterprise environment
- Healthcare or healthcare technology experience, including exposure to clinical, administrative, or operational workflows
- Experience evaluating vendor solutions and product fit across business, clinical, technical, security, and operational dimensions
- Experience shaping product direction, prioritizing opportunities, and guiding initiatives from discovery through implementation, adoption, and scale
- Experience translating user needs and workflow pain points into product requirements, business cases, success metrics, pilots, adoption plans, and leadership recommendations
- Ability to partner effectively with technical teams to understand feasibility, dependencies, risks, and implementation implications
- Strong written, verbal, facilitation, and synthesis skills, with the ability to translate between business, clinical, operational, and technical audiences
- Strong product leadership, stakeholder management, and executive communication skills, with the ability to lead through influence and align diverse groups around shared decisions
- Excellent facilitation, diplomacy, active listening, and synthesis skills with senior leaders, clinicians, operational leaders, vendors, and technical partners
- Broad understanding of AI and GenAI products, vendor landscapes, implementation patterns, integration considerations, governance expectations, support models, and structured product comparison in enterprise healthcare environments
- Ability to translate business, clinical, administrative, and operational pain points into product requirements, business cases, success measures, and adoption plans
- Strong understanding of Epic-centered clinical, administrative, and operational workflows and how they shape product fit, adoption, and value realization
- Skilled in user research, usability assessment, end-user experience discovery, and structured questioning to identify user needs, workflow barriers, strengths, limitations, dependencies, and risks
- Technical fluency sufficient to partner with engineering, architecture, security, data, and platform teams and understand implementation implications
- Familiarity with healthcare data governance, privacy, legal, security, and regulatory considerations associated with evaluating and scaling AI solutions
- Knowledge of product, pilot, and implementation management practices, including prioritization, change enablement, adoption planning, and readiness for scale
- Travel to our Memphis campus for the interview process and/or orientation, if selected
- Travel to Memphis to work on-site for one week per quarter, or as requested based on business needs, if hired
- Candidates based in California who are willing to relocate to an approved location
Desired Qualifications
- Master's degree
- Experience with Epic and a strong understanding of clinical, administrative, and operational workflows
- Experience evaluating or working with Epic is highly desirable, especially where that experience includes translating clinical, administrative, or operational workflow pain points into product requirements, business cases, or adoption plans
- Working knowledge of commercially available AI and GenAI solutions, including healthcare products and enterprise copilots or assistants
- Experience with other enterprise platforms such as Microsoft, ServiceNow, Workday, or comparable healthcare and business technology products
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