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

Role Description

• Supports delivery of BSWH’s priority AI use-case roadmap by partnering with Senior AI Product Managers, engineering, architecture, data, ontology, analytics, journey, clinical, operational, privacy, security, and compliance teams.
• Helps translate customer, clinical, operational, and business problems into clear product requirements, user stories, acceptance criteria, delivery plans, success measures, and launch-readiness materials for AI-enabled capabilities.
• Works across multiple AI use cases rather than owning a full product area independently, helping Senior AI Product Managers maintain execution discipline, issue resolution, stakeholder alignment, documentation quality, and outcome tracking.
• Contributes to discovery, requirements definition, backlog management, testing coordination, adoption support, and continuous improvement for AI-enabled customer and operational experiences.
• Helps ensure AI capabilities are useful, trustworthy, measurable, and operationally sustainable while supporting safe and responsible implementation across BSWH use cases.

Qualifications

• Bachelor’s degree in Business, Product Management, Engineering, Computer Science, Data Science, Healthcare Administration, or related field.
• Equivalent combination of education and relevant experience may be considered.
• 4–7 years of experience in product management, digital product delivery, technology delivery, business analysis, product operations, data products, healthcare technology, or a related field.
• Experience supporting digital products, AI-enabled capabilities, automation solutions, analytics products, customer experiences, operational workflows, or technology-enabled services.
• Experience translating customer, business, clinical, or operational needs into product requirements, user stories, acceptance criteria, prioritization inputs, and delivery artifacts.
• Experience working with cross-functional teams including product, engineering, design, analytics, data, operations, and business stakeholders.
• Healthcare, life sciences, financial services, or other regulated-industry experience preferred but not required.

Requirements

• Familiarity with AI-enabled product concepts, including large language models, AI agents, orchestration, retrieval, personalization, automation, evaluation, guardrails, and human-in-the-loop workflows.
• Ability to work with technical teams to document requirements involving APIs, integrations, enterprise systems, data products, analytics, platform capabilities, and workflow automation.
• Strong comfort using product management tools, collaboration tools, roadmaps, backlogs, user stories, release plans, and product documentation practices.
• Ability to interpret product analytics, adoption trends, user feedback, operational metrics, quality signals, and business outcomes.
• Strong written communication skills and ability to create concise, well-structured documentation for technical and non-technical stakeholders.

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
• Note: Benefits may vary based upon position type and/or level

Preferred Qualifications

• Experience supporting 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, product operations, or outcome-based product management methods.
• Experience operating in healthcare, life sciences, financial services, or similarly regulated environments involving sensitive data, safety requirements, auditability, and compliance considerations.
• Experience with product analytics, experimentation, user research, stakeholder interviews, customer journey mapping, process mapping, or operational workflow analysis.
• Experience using AI tools to accelerate research, synthesis, documentation, prototyping, analysis, or product delivery tasks responsibly and effectively.