Job Summary

• 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.

Essential Functions Of The RoleAI Use Case Delivery Support

• 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.

Product Discovery & Requirements Definition

• 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.

Backlog, Roadmap & Delivery Coordination

• 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.

AI Capability Definition & Responsible Product Support

• 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.

Launch, Adoption & Measurement

• 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.

Cross-Use-Case Coordination & Reuse

• 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.

KEY SUCCESS FACTORS

• Strong product execution skills, including the ability to turn ambiguous ideas into clear requirements, user stories, delivery plans, and success measures.
• Ability to support multiple AI use cases simultaneously while maintaining organized documentation, follow-up, decision tracking, and stakeholder alignment.
• Practical understanding of AI-enabled product development and comfort learning how AI capabilities, data, workflows, evaluation, and operational guardrails interact.
• Strong analytical skills and ability to use product metrics, user feedback, quality signals, and operational data to identify improvement opportunities.
• Excellent communication and collaboration skills across product, engineering, architecture, analytics, data, clinical, operational, security, privacy, and compliance teams.
• Comfort operating in a regulated or high-trust environment where safety, privacy, compliance, auditability, and customer trust are critical.
• High ownership, attention to detail, follow-through, and ability to keep cross-functional work organized without requiring extensive oversight.

BenefitsOur competitive benefits package includes the following

• 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

Minimum RequirementsEducation

• 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.

Experience

• 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.

Required Technical Expertise

• 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.

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.