[Hiring] Senior AI Product Manager @Baylor Scott & White Health

Role Description

Owns a major area of the BSWH AI use-case roadmap and is accountable for translating customer jobs-to-be-done into AI-powered experiences that improve customer outcomes, operational efficiency, and business value.

• Leads prioritization, roadmap development, requirements definition, launch planning, and success measurement for AI-enabled capabilities across one or more customer journey areas.
• Works closely with Digital, Journey, Clinical, Analytics, Data, Ontology, Architecture, Engineering, and Operations teams to define, deliver, and continuously improve AI-powered customer experiences.
• Ensures AI capabilities solve meaningful customer problems, achieve measurable outcomes, and are designed for safe, scalable, and reusable implementation across BSWH use cases.
• Drives alignment across stakeholders while balancing customer needs, technical feasibility, operational constraints, regulatory requirements, and enterprise priorities.
• Partners with AI platform and architecture teams to leverage reusable AI capabilities while maintaining accountability for customer and business outcomes within the assigned product area.

Qualifications

• Bachelor’s degree in Business, Product Management, Engineering, Computer Science, Data Science, Healthcare Administration, or related field.
• Master’s degree preferred.
• 8–12 years of product management experience.
• Demonstrated ownership of digital products, platforms, customer experiences, or technology-enabled services with measurable business impact.
• Experience managing complex cross-functional roadmaps involving product, engineering, design, analytics, data, and business stakeholders.
• Experience working with AI-enabled products, machine learning systems, conversational experiences, personalization platforms, automation solutions, search experiences, recommendation systems, or decision-support technologies.
• Strong experience translating customer and business needs into structured product requirements, prioritized roadmaps, user stories, and acceptance criteria.
• Experience defining and measuring product success using KPIs, customer outcomes, business metrics, usage analytics, and qualitative customer insights.
• Healthcare, life sciences, financial services, or other regulated-industry experience preferred but not required.

Requirements

• Strong understanding of AI-enabled product development and modern AI capabilities, including where AI can and cannot reliably improve customer or operational outcomes.
• Familiarity with concepts such as large language models, AI agents, orchestration, retrieval, personalization, evaluation frameworks, guardrails, and human-in-the-loop workflows.
• Product ownership across the full lifecycle, including strategy, discovery, requirements, prioritization, delivery, launch, measurement, and optimization.
• Experience working with APIs, integrations, enterprise systems, data products, analytics, and platform capabilities that support reusable product development.
• Ability to collaborate effectively with engineers, architects, data teams, analytics teams, clinical stakeholders, and operational stakeholders.
• Strong analytical skills and comfort interpreting performance data, customer metrics, adoption trends, quality signals, and product outcomes.

Benefits

• Immediate eligibility for health and welfare benefits
• 401(k) savings plan with dollar-for-dollar match up to 5%
• Tuition Reimbursement
• PTO accrual beginning Day 1

Preferred Qualifications

• Experience owning AI-powered customer experiences, digital assistants, conversational interfaces, recommendation systems, search experiences, workflow automation products, or decision-support capabilities.
• Experience applying Jobs-to-Be-Done, customer-centered design, design thinking, agile product development, or outcome-based product management methodologies.
• Familiarity with AI product evaluation approaches, including quality measurement, experimentation, benchmark definition, feedback loops, and performance optimization.
• Experience operating in healthcare, life sciences, financial services, or similarly regulated environments involving sensitive data, safety requirements, auditability, and compliance considerations.
• Experience launching products involving AI models, enterprise systems, APIs, cross-functional delivery teams, and operational adoption requirements.
• Experience working with product analytics, experimentation frameworks, customer research, behavioral insights, and customer experience measurement.
• Strong ability to influence without authority and drive alignment across business, technology, clinical, operational, and executive stakeholders.