Senior AI-Ready Data Product Lead

Baylor Scott & White Health; Lincoln (NE); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401(k) matching up to 5%

Tuition Reimbursement

PTO accrual Day 1

Job summary

Baylor Scott & White Health seeks a Senior Data Product Manager to own AI-ready data domains and data products across enterprise workflows. You will collaborate with AI product, engineering, data analytics, ontology, architecture, security, and operations teams to translate AI use-case needs into clear data requirements, contracts, and quality standards.

You will define roadmaps, monitor data quality and availability, and ensure data products are trusted, discoverable, and compliant for AI

Qualifications

• Own data products and data domains to enable AI use cases.
• Define product vision, roadmaps, backlog and success metrics for AI-ready data products.
• Translate AI use-case needs into data requirements, contracts, and quality standards.
• Prioritize data work based on AI value, urgency, dependency risk and impact.
• Develop clear roadmaps to improve data domains for current and future AI products.

Responsibilities

• Partner with AI Product, Engineering, Data & Analytics, Ontology, Architecture, Security and Operations teams.
• Ensure data elements are available, understood, governed and fit for AI consumption before milestones.
• Clarify data dependencies, gaps, risks and remediation actions for AI teams.
• Translate jobs-to-be-done and user stories into data product requirements.
• Ensure data products support AI workflows with timely retrieval, reliable lookups and secure access.

Skills

Data products

Data domains

Data quality

Data governance

AI readiness

Product management

Stakeholder alignment

Education

Bachelor’s degree in Data Science

Master’s degree preferred

Tools

APIs

Data pipelines

Semantic layers

Data catalogs

Job description

Baylor Scott & White Health seeks a Senior Data Product Manager to own AI-ready data domains and data products across enterprise workflows. You will collaborate with AI product, engineering, data analytics, ontology, architecture, security, and operations teams to translate AI use-case needs into clear data requirements, contracts, and quality standards.

You will define roadmaps, monitor data quality and availability, and ensure data products are trusted, discoverable, and compliant for AI