Senior AI Data Product Manager

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

Benefits offered by this job

401(k) match

Tuition reimbursement

PTO accrual from Day 1

Job summary

Baylor Scott & White Health seeks a Senior Data Product Manager to own AI-ready data domains, ensure data quality and reliability, and partner with AI Product, Engineering, Analytics, and Governance teams to translate use-case needs into concrete data product requirements.

You will drive data contracts, monitor data freshness and latency, and lead lifecycle management of data products across domains to support clinical, operational, and enterprise AI initiatives in a regulated healthcare

Qualifications

• 10–15 years in data product management, data ownership or related tech roles.
• 5–10+ years owning data products or data platforms.
• Experience with cross-functional teams to define data requirements & drive reusable data products.
• Knowledge of data quality, lineage, contracts, and production reliability.
• Experience partnering with product, engineering, governance and operations.

Responsibilities

• Own data products/domains for AI use-case roadmaps and success metrics.
• Translate AI needs into data requirements, sources, freshness, and quality standards.
• Define data contracts, access patterns, latency, and downstream usage.
• Manage lifecycle of data products from discovery to retirement.
• Align stakeholders and prioritize data work across domains.

Skills

Data product management

Data governance

AI enablement

Stakeholder management

Cross-functional collaboration

Education

Bachelor’s degree in Data Science / CS / Analytics

Master’s degree preferred

Tools

Data catalogs

APIs

Semantic layers

Metadata tooling

Job description

Baylor Scott & White Health seeks a Senior Data Product Manager to own AI-ready data domains, ensure data quality and reliability, and partner with AI Product, Engineering, Analytics, and Governance teams to translate use-case needs into concrete data product requirements.

You will drive data contracts, monitor data freshness and latency, and lead lifecycle management of data products across domains to support clinical, operational, and enterprise AI initiatives in a regulated healthcare