AI Product Manager

· 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.

· 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,…