Senior AI Data Product Manager

Baylor Scott & White Health; Topeka (KS); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health benefits

401(k) matching

Tuition reimbursement

PTO accrual from Day 1

Job summary

Baylor Scott & White Health seeks a Senior Data Product Manager to own data domains powering AI use cases across enterprise workflows. You will define data product requirements, contracts, and quality standards, partnering with AI product, engineering, governance, and analytics teams.

You will lead lifecycle management for AI-ready data products, ensure data is trusted, discoverable, and fit for production, and drive continuous improvement in data reliability and interoperability within a

Qualifications

• 10–15 years of experience in data product management and related tech roles.
• 5–10+ years owning data products, data domains, or data-enabled capabilities.
• Experience with data quality, data lineage, metadata, data contracts.
• Proven ability to translate AI use-case needs into data requirements.
• Healthcare or regulated industry experience preferred.

Responsibilities

• Define product vision, roadmap, backlog, and success metrics for data products.
• Translate AI use-case needs into data product requirements and contracts.
• Prioritize data work based on AI value and operational impact.
• Ensure data products are discoverable and usable by approved consumers.
• Collaborate with AI, engineering, governance, security, and analytics teams.
• Manage lifecycle and continuous improvement of data products.

Skills

Data product management

Data governance

Data quality

AI/ML enablement

Cross-functional collaboration

Requirements translation

Education

Bachelor’s degree in a related field

Master’s degree preferred

Job description

Baylor Scott & White Health seeks a Senior Data Product Manager to own data domains powering AI use cases across enterprise workflows. You will define data product requirements, contracts, and quality standards, partnering with AI product, engineering, governance, and analytics teams.

You will lead lifecycle management for AI-ready data products, ensure data is trusted, discoverable, and fit for production, and drive continuous improvement in data reliability and interoperability within a