Senior AI Data Product Manager

Baylor Scott & White Health; Trenton (NJ); Presencial; USD 140.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k) with match

Tuition Reimbursement

PTO accrual beginning Day 1

Descripción de la vacante

Baylor Scott & White Health is seeking a Senior Data Product Manager to ensure enterprise data domains power AI use cases. You will own the quality, reliability, availability, and lifecycle management of data products across AI product, engineering, analytics, and governance teams.

You will partner with AI Product, Engineering, Data & Analytics, Ontology, Architecture, Security, Privacy, and Operations to translate needs into clear data product requirements and contracts, enabling trusted AI

Formación

• Bachelor’s degree in a related field required; Master’s degree preferred.
• 10–15 years in data product management or related roles.
• Experience with data quality, lineage, metadata, and contracts.
• Experience partnering with product, engineering, governance, security, and operations.
• Healthcare, life sciences, or regulated industries preferred.

Responsabilidades

• Own data domains and define product vision, roadmap, backlog, and success metrics.
• Translate AI use‑case needs into data product requirements, data contracts, and quality standards.
• Prioritize work based on AI value, urgency, risk, and impact.
• Ensure data is trusted, discoverable, and fit for AI consumption.
• Manage lifecycle of data products from discovery to retirement.

Conocimientos

Data product management

Data governance

AI readiness

Stakeholder management

Educación

Bachelor's degree in Data Science, Information Systems, Computer Science, Engineering, Business, Healthcare Administration, Analytics, or related field

Master’s degree preferred

Descripción del empleo

Baylor Scott & White Health is seeking a Senior Data Product Manager to ensure enterprise data domains power AI use cases. You will own the quality, reliability, availability, and lifecycle management of data products across AI product, engineering, analytics, and governance teams.

You will partner with AI Product, Engineering, Data & Analytics, Ontology, Architecture, Security, Privacy, and Operations to translate needs into clear data product requirements and contracts, enabling trusted AI