Note: The job is a remote job and is open to candidates in USA. Baylor Scott & White Health is hiring an AI Product Manager to support delivery of its priority AI use-case roadmap across cross-functional teams. The role helps translate customer, clinical, operational, and business needs into product requirements and coordinates discovery, delivery, responsible implementation, launch, adoption, and measurement for AI-enabled capabilities.
Responsibilities
- Support Senior AI Product Managers in translating priority AI use cases into product requirements, epics, user stories, acceptance criteria, dependencies, and release plans
- Maintain and organize product documentation, decision logs, issue lists, delivery artifacts, stakeholder inputs, and product-readiness materials across assigned use cases
- Coordinate with product, engineering, architecture, data, analytics, design, clinical, operational, privacy, security, and compliance stakeholders to keep delivery work moving and aligned
- Identify delivery risks, open questions, dependency gaps, and decision points that require escalation to Senior AI Product Managers or other leaders
- Participate in discovery sessions with customers, operators, clinical teams, journey leaders, and business stakeholders to understand problems, workflows, pain points, and desired outcomes
- Help document jobs-to-be-done, process flows, user needs, use-case hypotheses, functional requirements, non-functional requirements, and measurable success criteria
- Translate user and operational feedback into structured product inputs that Senior AI Product Managers can use to refine roadmaps and prioritization decisions
- Support market, user, competitor, and internal capability research to inform AI product decisions and identify opportunities for reuse across use cases
- Support backlog grooming, sprint planning, roadmap updates, release coordination, and cross-functional status reporting for assigned AI use cases and capabilities
- Help ensure user stories and requirements are sufficiently clear, testable, prioritized, and aligned to customer value, implementation feasibility, and business impact
- Track delivery progress, milestones, blockers, risks, stakeholder feedback, and dependencies across product, engineering, data, ontology, and operational teams
- Prepare concise updates, decision materials, meeting notes, action trackers, and launch-readiness materials for product and stakeholder forums
- Help define expected AI-enabled behaviors, escalation paths, human review points, usability expectations, guardrail needs, and operational considerations for assigned capabilities
- Partner with AI architecture, engineering, quality, data, and clinical/operational stakeholders to document how AI capabilities should operate in real-world workflows
- Support responsible AI implementation by ensuring product requirements consider privacy, compliance, auditability, transparency, reliability, safety, and customer trust
- Help connect individual use-case needs to reusable AI platform capabilities, data products, ontology assets, integration patterns, and evaluation approaches
- Support launch planning, stakeholder readiness, operational handoffs, change-management materials, training inputs, release notes, and adoption tracking for AI-enabled capabilities
- Assist in defining and monitoring product metrics, usage signals, quality indicators, feedback loops, adoption measures, and operational outcomes
- Gather and synthesize user, stakeholder, operational, and product analytics feedback to identify opportunities for iteration and improvement
- Help Senior AI Product Managers ensure each use case has clear outcomes, ownership, measurement routines, and an ongoing improvement plan
- Work across multiple AI use cases to identify common requirements, recurring pain points, reusable patterns, and shared capability needs
- Help prevent duplication by documenting where similar requirements, workflows, data needs, evaluation approaches, or platform capabilities can be reused
- Support collaboration across AI Product Managers, Senior AI Product Managers, Data Product Managers, Ontology teams, Engineering, Architecture, Quality Engineering, Analytics, and Operations
- Contribute to common product templates, intake materials, documentation standards, readiness checklists, and repeatable product delivery practices for the AI use-case portfolio
Skills
- 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
- 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
- Healthcare, life sciences, financial services, or other regulated-industry experience preferred but not required
- 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
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
Company Overview
Company H1B Sponsorship