AI Product Manager

Position Summary

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 e. This role translates workflow pain points into clear problem statements, product requirements, business cases, success measures, and practical recommendations; evaluates market and vendor options; prioritizes opportunities; and helps determine which solutions are the best fit for the organization.

The successful candidate will work across clinicians, administrators, operational leaders, vendors, IS, data and analytics, engineering, security, and governance partners to ask the right questions, clarify tradeoffs, build trust, and 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. Success in this position requires strong product leadership, sound judgment, curiosity, user empathy, and excellent communication and facilitation skills.

This position may be eligible for remote work.

• 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.

By applying, you acknowledge and agree to these travel requirements as a condition of employment.

This position is remote within approved U.S. locations. Due to state-specific employment regulations, we are unable to consider applicants currently residing in California for remote work; however, candidates based in California who are willing to relocate to an approved location may be considered.

• Serves as the institutional product lead for AI solutions, accountable for identifying, prioritizing, and advancing the right‑fit products to address priority pain points, workflow friction, and strategic opportunities across St. Jude.
• Builds trusted relationships across clinical, administrative, operational, IS, data, analytics, and technical teams to understand workflows, clarify pain points, translate needs into requirements, and evaluate solution options.
• Leads market scans, vendor evaluations, and product comparisons to assess strategic fit, workflow fit, technical feasibility, implementation complexity, risk, support model, and expected value.
• Develops product recommendations and business cases that translate workflow pain points into expected value, adoption implications, dependencies, implementation readiness, risks, and success metrics.
• Guides products through the stage‑gate pipeline, ensuring requests are vetted and aligned with institutional priorities, governance requirements, and available capabilities.
• Facilitates cross‑functional forums and special interest groups, using diplomacy and synthesis skills to align stakeholders, surface concerns, coordinate evaluation activities, and drive toward informed recommendations.
• Leads pilots and structured product evaluations, including success criteria, validation plans, stakeholder roles, workflow implications, adoption needs, and readiness for scale.
• Translates approved products into implementation and adoption plans, clarifying requirements, supporting prioritization, aligning stakeholders, and guiding value realization.
• Partners with architecture, security, data, platform, and technical teams to ensure product decisions account for feasibility, enterprise architecture, dependencies, and implementation risk.
• Monitors product performance, adoption, benefits realization, user feedback, and outcomes, and communicates evidence‑based updates and recommendations to stakeholders and leadership.
• Attends and facilitates AI‑related committees, councils, and meetings and performs other duties as assigned.

• Bachelor's degree in computer science, data science, information science, business, or related field required.
• Master's degree preferred.

• Minimum requirement: 5+ years in Information Technology implementation, application management,…