Lead Product Manager - Data Products

An exciting career awaits you At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.

Summary Data, Analytics & AI (DA&AI) is focused on creating trusted, reusable data products that power business outcomes across Marathon Petroleum's value streams. Through a value stream-aligned delivery model, we connect data, analytics, and AI capabilities to strategic priorities while enabling consistency, governance, and reuse across enterprise data domains. Our Data Product Managers play a key role in defining and delivering enterprise data products that enable business decision-making, operational optimization, and advanced analytics. As a Data Product Manager, you are responsible for data product discovery and design in partnership with our Digital Partners and business stakeholders for an assigned enterprise domain (Commercial, Midstream, Refining, or Corporate functions). The position requires a strong blend of product management, data strategy, and business domain expertise, with accountability for translating business problems into scalable, high-quality data products (e.g., curated datasets, data models, analytics-ready assets, and AI/ML enablement). You will partner closely with other product teams to deliver reusable and well-architected data products that drive measurable business value. Success in this role requires strong sense of ownership and a bias for action. This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.

Develops and governs domain-driven data product strategy and portfolio, aligned to business outcomes, global processes, and enterprise priorities, ensuring measurable value, analytics enablement, and reuse. Defines and standardizes domain data concepts, entities, relationships, and KPI logic, ensuring consistency across business units and systems. Leads data product roadmap and prioritization, aligning capabilities and data assets to business value, data availability, and enterprise standards. Translates business needs into logical data models, data contracts, and product structures, enabling governed, reusable, and scalable data products. Establishes and enforces data governance, quality, lineage, metadata, and stewardship standards, ensuring data products are trusted, compliant, and fit for purpose. Ensures data products are discoverable, governed, and continuously improved across their lifecycle, maintaining alignment with enterprise frameworks and standards. Partners with Data and Solution Architects to align data products with enterprise architecture, data models, and integration patterns, ensuring scalability and interoperability. Owns and prioritizes the data product backlog, translating strategy into executable work while coordinating cross-team and cross-platform dependencies to ensure aligned delivery. Engages senior leaders to align on data priorities, definitions, and product direction, driving value-based investment decisions and resolving cross-domain challenges. Analyzes data usage, quality, and product performance to refine direction, improve accessibility, and maximize value realization. Drives collaboration and innovation in data products and analytics enablement, while clearly communicating product strategy, design, and value across technical and business stakeholders. Develops customer and internal facing product development strategies with superior user experience across multiple verticals, including vision goals, and customer needs; accountable for complex/critical product and/or product lines, up to an entire portfolio of products. Has accountability for leading the development of product roadmaps, prioritizing feature releases, and aligning them with business objectives.