Senior AI Data Product Leader

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

Benefits offered by this job

Health benefits

401(k) plan

Tuition Reimbursement

PTO accrual beginning Day 1

Job summary

Baylor Scott & White Health is seeking a Senior Data Product Manager to own AI-ready data domains and ensure trusted, governed data for enterprise use cases. You will define roadmaps, collaborate with AI product, engineering, analytics, and governance teams, and drive data readiness across critical workflows.

The role emphasizes data quality, contracts, access patterns, and lifecycle management to enable secure, scalable AI-enabled services.

Qualifications

• 10–15 years of experience in data product management or related tech roles.
• Experience owning data products, data domains, or data platforms.
• Experience with data quality, lineage, governance, and contracts.
• Experience partnering with product, engineering, analytics, governance, security, and privacy stakeholders.
• Healthcare, life sciences, or regulated industries preferred.

Responsibilities

• Manage data domains to support AI use-case roadmaps and workflows.
• Define product vision, backlog, and success metrics for data products.
• Translate AI needs into data requirements, contracts, and quality standards.
• Prioritize data work based on AI value, risk, and operational impact.
• Ensure data products are discoverable, governed, and reliable.

Skills

Data product management

Data governance

Cross-functional collaboration

AI readiness concepts

Stakeholder alignment

Education

Bachelor’s degree in Data Science/CS/Engineering

Master’s degree preferred

Tools

APIs

Data catalogs

Semantic layers

Job description

Baylor Scott & White Health is seeking a Senior Data Product Manager to own AI-ready data domains and ensure trusted, governed data for enterprise use cases. You will define roadmaps, collaborate with AI product, engineering, analytics, and governance teams, and drive data readiness across critical workflows.

The role emphasizes data quality, contracts, access patterns, and lifecycle management to enable secure, scalable AI-enabled services.