Senior AI-Ready Data Products Lead

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

Benefits offered by this job

Health benefits

401(k) matching

Tuition Reimbursement

PTO accrual Day 1

Job summary

Baylor Scott & White Health is seeking a Senior Data Product Manager to own AI-ready data domains and ensure quality, availability, and governance across enterprise data products.

This role partners with AI Product, Engineering, Ontology, Data & Analytics, and Security teams to translate AI use‑case needs into data contracts, roadmaps, and measurable outcomes, delivering trusted data for clinical and operational use.

Qualifications

• Bachelor’s degree required; master’s preferred.
• 10–15 years in data product management or related roles.
• Experience owning data products, data domains, or data platforms.
• Proven ability to translate data needs into requirements and roadmaps.
• Healthcare or regulated industry experience preferred.

Responsibilities

• Define product vision, roadmap, backlog, and success metrics for AI-ready data products.
• Collaborate with AI product, engineering, governance, and analytics teams to specify data contracts and data quality expectations.
• Prioritize data work based on AI use-case value, urgency, and risk.
• Ensure data products are discoverable, governed, and usable by approved consumers.
• Manage lifecycle of data domains from discovery to retirement.

Skills

Data product management

Data governance

AI readiness

Cross-functional collaboration

Data quality

Education

Bachelor’s degree in data science / CS / engineering / related field

Tools

APIs

Data pipelines

Semantic layers

Data catalogs

Metadata management

Job description

Baylor Scott & White Health is seeking a Senior Data Product Manager to own AI-ready data domains and ensure quality, availability, and governance across enterprise data products.

This role partners with AI Product, Engineering, Ontology, Data & Analytics, and Security teams to translate AI use‑case needs into data contracts, roadmaps, and measurable outcomes, delivering trusted data for clinical and operational use.