AI Product Manager

St. Jude Children's Research Hospital

93d•$94,640 - $169,520•Remote

About The Position

The AI Product Manager serves as the institutional product and relationship lead for identifying, evaluating, and advancing AI products that address high-value business, clinical, administrative, and operational needs at St. Jude. The role translates workflow pain points into problem statements, product requirements, business cases, success measures, and recommendations; evaluates market and vendor options; prioritizes opportunities; and helps determine which solutions best fit the organization. The manager works across clinicians, administrators, operational leaders, vendors, IS, data and analytics, engineering, security, and governance partners to guide decisions that support implementation readiness, adoption, and value realization. Experience with Epic and a strong understanding of clinical, administrative, and operational workflows are highly desirable. The position may be eligible for remote work within approved U.S. locations, but remote employees must travel to the Memphis campus for interviews and/or orientation if selected, and work on-site in Memphis for one week per quarter or as business needs require. Applicants residing in California are not eligible for remote work, though those willing to relocate to an approved location may be considered.

Requirements

Bachelor's degree in computer science, data science, information science, business, or a related field.
At least 5 years of experience in Information Technology implementation, application management, data management/advanced analytics, and governance.
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, including the ability to anticipate industry trends.
Experience working with a wide range of partners, from established enterprise vendors to emerging start-ups.
Skills in analytics, experimentation, and data storytelling, including delivering compelling, high-impact presentations.
Comfort 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.
Strong product leadership, stakeholder management, executive communication, facilitation, diplomacy, active listening, and synthesis skills.
Ability to translate business, clinical, administrative, and operational pain points into product requirements, business cases, success measures, and adoption plans.
Technical fluency 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.
Strong understanding of Epic-centered clinical, administrative, and operational workflows and how they shape product fit, adoption, and value realization.
Skill in user research, usability assessment, end-user experience discovery, and structured questioning to identify user needs, workflow barriers, strengths, limitations, dependencies, and risks.

Nice To Haves

Master's degree preferred.
At least 7 years of experience in product management, product strategy, digital health, healthcare technology, enterprise technology evaluation, or a related field.
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.
Experience partnering effectively with technical teams to understand feasibility, dependencies, risks, and implementation implications.
Experience with Epic, especially 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 enterprise platforms such as Microsoft, ServiceNow, Workday, or comparable healthcare and business technology products.

Responsibilities

Identify, prioritize, and advance AI products that address priority pain points, workflow friction, and strategic opportunities across St. Jude.
Build relationships with clinical, administrative, operational, IS, data, analytics, and technical teams to understand workflows, clarify pain points, translate needs into requirements, and evaluate solution options.
Lead market scans, vendor evaluations, and product comparisons, assessing strategic and workflow fit, technical feasibility, implementation complexity, risk, support model, and expected value.
Develop product recommendations and business cases covering expected value, adoption implications, dependencies, implementation readiness, risks, and success metrics.
Guide products through the stage-gate pipeline and ensure requests align with institutional priorities, governance requirements, and available capabilities.
Facilitate cross-functional forums and special interest groups to align stakeholders, surface concerns, coordinate evaluations, and develop informed recommendations.
Lead pilots and structured product evaluations, including success criteria, validation plans, stakeholder roles, workflow implications, adoption needs, and readiness for scale.
Translate approved products into implementation and adoption plans, clarify requirements, support prioritization, align stakeholders, and guide value realization.
Partner with architecture, security, data, platform, and technical teams to account for feasibility, enterprise architecture, dependencies, and implementation risk.
Monitor product performance, adoption, benefits realization, user feedback, and outcomes, and communicate evidence-based updates and recommendations to stakeholders and leadership.
Attend and facilitate AI-related committees, councils, and meetings, and perform other duties as assigned.