at Baylor Scott & White Health in Boise, Idaho, United States Job Description

JOB SUMMARY

The Senior Data Product Manager is accountable for ensuring assigned enterprise data domains are ready to power BSWH's priority AI use cases. This role owns the quality, reliability, availability, usability, and lifecycle management of data products required by AI product, engineering, ontology, analytics, and operational teams. This role partners closely with AI Product, Engineering, Data & Analytics, Knowledge/Ontology, Architecture, Security, Privacy, Operations, and domain subject matter experts to translate AI use-case needs into clear data product requirements, data contracts, quality expectations, latency requirements, remediation priorities, and operating commitments. The Senior Data Product Manager ensures that data required for AI-enabled products is trusted, governed, discoverable, fit-for-purpose, and operationally sustainable. The role is a critical bridge between AI use-case teams and the data organization, helping ensure that data domains consistently meet current and future AI delivery needs.

ESSENTIAL FUNCTIONS OF THE ROLE

Data Domain Management & Product Strategy

• Manage specific set of data domains required to support BSWH's AI use-case roadmap and related customer, operational, clinical, financial, or enterprise workflows.
• Define the product vision, roadmap, backlog, and success metrics for assigned AI-ready data products and domains.
• Translate AI use-case needs into clear data product requirements, including data elements, definitions, source systems, availability expectations, freshness requirements, lineage needs, and quality standards.
• Prioritize data work based on AI use-case value, delivery urgency, dependency risk, quality gaps, operational impact, and feasibility.
• Create a clear roadmap for improving assigned data domains so they can reliably support current and future AI-enabled products. AI Use Case Enablement
• Partner with AI Product Managers, engineering teams, data teams, ontology teams, and operational stakeholders to identify the data required to power each assigned AI use case.
• Ensure required data elements are available, understood, governed, and fit for AI consumption before key delivery milestones.
• Clarify data dependencies, gaps, risks, and remediation actions required to enable AI use-case teams to deliver safely and effectively.
• Support translation of jobs-to-be-done, user stories, agent requirements, and product acceptance criteria into data product requir To view full details and how to apply, please login or create a Job Seeker account