Data Product Lead: Enterprise Analytics & AI

Marathon Petroleum Corporation; San Antonio (TX); Presencial; USD 120.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401k matching

Descripción de la vacante

Marathon Petroleum Corporation seeks a Data Product Manager to define and deliver enterprise data products that empower business decisions, optimize operations, and enable AI/ML capabilities across Commercial, Midstream, Refining, or Corporate domains.

You will translate business problems into scalable data assets, partnering with Digital Partners and stakeholders to ensure governance, reuse, and measurable value across the enterprise. Strong ownership and collaboration are essential.

Formación

• Bachelor’s degree in information systems or related field; 7+ years of product management experience.
• Experience delivering data products, analytics platforms, or data-driven solutions.
• Knowledge of data governance, data quality, and metadata management.

Responsabilidades

• Develops and governs domain data product strategy and portfolio.
• Defines domain data concepts, entities, and KPI logic.
• Leads data product backlog and prioritization across teams.
• Engages leaders to align data priorities and drive investments.
• Drives data governance, quality, lineage, and metadata standards.

Conocimientos

Agile Methodologies

Authentic Communicator

Backlog Management

Business Acumen

Decision Making

Human-Centered Design

Industry Knowledge

Market Trend Analysis

Marketing

Product Development

Product Lifecycle

Product Strategies

Storytelling

Vendor Management

Educación

Bachelor’s Degree in Information Systems

Product Owner Certification

MBA or equivalent preferred

Descripción del empleo

Marathon Petroleum Corporation seeks a Data Product Manager to define and deliver enterprise data products that empower business decisions, optimize operations, and enable AI/ML capabilities across Commercial, Midstream, Refining, or Corporate domains.

You will translate business problems into scalable data assets, partnering with Digital Partners and stakeholders to ensure governance, reuse, and measurable value across the enterprise. Strong ownership and collaboration are essential.