Senior AI Data Product Manager

Baylor Scott & White Health; Hagåtña (GU); Presencial; USD 150.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Immediate health and welfare benefits

401(k) matching up to 5%

Tuition Reimbursement

PTO accrual beginning Day 1

Descripción de la vacante

Baylor Scott & White Health is seeking a Senior Data Product Manager to own AI-ready data domains, ensuring quality, reliability, and lifecycle management for data products used by AI, analytics, and operations.

You will collaborate with product, engineering, governance, security, and clinical teams to translate AI use-case needs into concrete data requirements and governance, driving trusted data for enterprise-scale decisions.

Formación

• Bachelor’s degree in a related field required; Master’s preferred.
• 10–15 years in data product management or related roles.
• Experience with data quality, lineage, contracts, and governance.
• Healthcare or regulated industries preferred.
• Ability to translate AI use-cases into data requirements.

Responsabilidades

• Define the product vision, roadmap, backlog, and success metrics for AI-ready data products.
• Translate AI use-case needs into data elements, definitions, source systems, and quality standards.
• Prioritize data work based on value, urgency, dependency risk, quality gaps, and impact.
• Establish data contracts and access patterns for approved consumers across teams.
• Monitor data quality, reliability, and remediation across assigned domains.

Conocimientos

Data product management

Data domains

Data governance

AI readiness

Cross-functional collaboration

Requirements translation

Educación

Bachelor’s degree in Data Science / Information Systems / Computer Science

Master’s degree preferred

Herramientas

APIs

Data catalogs

Semantic models

Data pipelines

Descripción del empleo

Baylor Scott & White Health is seeking a Senior Data Product Manager to own AI-ready data domains, ensuring quality, reliability, and lifecycle management for data products used by AI, analytics, and operations.

You will collaborate with product, engineering, governance, security, and clinical teams to translate AI use-case needs into concrete data requirements and governance, driving trusted data for enterprise-scale decisions.