Senior AI Product Manager: Drive Patient-Centric AI Journeys

Baylor Scott & White Health; Helena (MT); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Tuition reimbursement

PTO accrual Day 1

Job summary

Baylor Scott & White Health is seeking an experienced AI Product Leader to own strategy and roadmap for one or more AI use cases that transform patient and operations outcomes. You will translate clinical and operational needs into concrete jobs-to-be-done, define success metrics, and drive adoption across multi-disciplinary teams.

Your role focuses on scalable, safe AI implementations, aligning stakeholders, and delivering measurable value while navigating regulatory and enterprise priorities.

Qualifications

• 8–12 years of product management experience.
• Experience owning digital products, platforms, or technology-enabled services with measurable business impact.
• Ability to translate customer and business needs into structured product requirements, prioritized roadmaps, user stories, and acceptance criteria.
• Strong experience translating customer and business needs into structured product requirements and roadmaps.

Responsibilities

• Own the product strategy, roadmap, and backlog for one or more AI use-case areas.
• Translate customer, operational, and clinical problems into jobs-to-be-done and measurable outcomes.
• Define success metrics and KPIs to measure impact, adoption, and operational improvement.
• Lead cross-functional collaboration across Product, Engineering, Architecture, Journey, Clinical, Analytics, Data, Ontology, Security, Privacy, Compliance, and Operations teams.

Skills

AI product mgmt

Roadmap ownership

Stakeholder alignment

Customer-focused

Requirements mgmt

Education

Bachelor's degree

Master's degree

Job description

Baylor Scott & White Health is seeking an experienced AI Product Leader to own strategy and roadmap for one or more AI use cases that transform patient and operations outcomes. You will translate clinical and operational needs into concrete jobs-to-be-done, define success metrics, and drive adoption across multi-disciplinary teams.

Your role focuses on scalable, safe AI implementations, aligning stakeholders, and delivering measurable value while navigating regulatory and enterprise priorities.