Lead Product Manager - Data Products

Marathon Petroleum Corporation•Findlay, OH

1d•Onsite

About The Position

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.

Requirements

Bachelor’s Degree in Information Systems, related field or equivalent work experience required.
Product Owner certification or Product Management certification required.
7+ years of relevant product manager experience required.
Experience delivering or managing data products, analytics platforms, or data-driven solutions in an enterprise environment.
Strong understanding of data ecosystems, including data warehousing, data lakes, ETL/ELT processes, and modern data architectures.
Proven experience working with cross-functional data and analytics teams, including Data Engineering, Data Science, and BI/Visualization.
Experience defining data requirements, data models, or analytics use cases tied to business outcomes.
Understanding of data governance, data quality, and metadata management practices.
Agile Methodologies - Agile project management is an iterative approach to delivering a project throughout its life cycle, taking incremental steps towards the completion of a project.
Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue.
Backlog Management - A prioritized list of work for the development team that is derived from the roadmap and its requirements. The most important items are shown at the top of the product backlog so the team knows what to deliver first.
Business Acumen - Applies knowledge of MPC’s business, industry and the marketplace to advance the organization’s goals. Makes decisions and recommendations clearly linked to MPC’s strategy.
Decision Making - Ability to know when and what decisions should be made and to make several decisions simultaneously in a fast-paced, rapidly changing environment.
Human-Centered Design - An approach to problem solving, commonly used in design and management frameworks that develops solutions to problems by involving the human perspective in all steps of the problem-solving process.
Industry Product Knowledge - Industry product knowledge refers to a comprehensive understanding of the products and services within a particular industry. It encompasses familiarity with the features, functionalities, applications, and specifications of the products offered by companies operating in that industry. Industry product knowledge is crucial for professionals working in sales, marketing, customer service, product development, and various other roles within a company. It enables individuals to effectively communicate the value propositions of products, address customer inquiries, identify market trends, make informed business decisions, and contribute to the development and improvement of products and services within the industry. This knowledge often requires staying updated with the latest advancements, technologies, and market dynamics within the specific industry domain.
Market Trend Analysis - The ability to analyze data that exhibits an ongoing upward or downward pattern that is not due to seasonality or random noise. Able to analyze trends in detecting patterns that could lead to future quality problems, and in forecasting future demand periods
Marketing - Knowledge of Marketing, the process of planning and executing conception, pricing, promotion and distribution of goods, ideas and services to create exchanges that satisfy individual and organizational goals. Understanding of marketing research, consumer marketing, customer marketing and product marketing.
Product Development - The creation, innovation, enhancement or improvement of an existing product, or developing an entirely new kind of product to satisfy the requirements of its end-users.
Product Lifecycle Management (PLM) - The handling of a good as it moves through the typical stages of its product life: development and introduction, growth, maturity/stability, and decline.
Product Strategies - The process of outlining a company's strategic vision for its product offerings by stating where the products are going, how they will get there and why they will succeed.
Storytelling - The process of communicating information, tailored to a specific audience, with a compelling narrative.
Vendor Management - The process to maintain relationships with key vendors that deliver products, services, and support to the business. Simultaneously, negotiating and managing contracts with key service providers to ensure service levels are set appropriately and met on an ongoing basis.
Bachelor’s Degree in Information Technology, related field or equivalent experience.
7+ years of relevant experience

Nice To Haves

MBA or equivalent preferred.
Experience supporting AI/ML or advanced analytics use cases is preferred.
Refining industry experience preferred, with a strong understanding of refinery operations, manufacturing processes, and the data domains that support operational performance, reliability, optimization, planning, and financial outcomes.

Responsibilities

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. Drives cross-functional collaboration to gather insights, prioritize initiatives, and plan releases effectively.
Collaborates closely with portfolio teams, stakeholders, and business leaders to proactively identify and address challenges that arise during product development, ensuring successful execution of the product strategy.
Organizes stakeholder priorities and works with teams in order to align needs with resources ensuring cadence with customer value, business value, and strategic fit. Consults with leadership, and various teams to provide value-driven priority and strategic decision-making.
Prioritizes the product backlog, processes and release plan for multiple features for a complex or higher profile product and plans the coordination of interdependencies with scrum teams and across lines of business.
Works with other teams, ensures team is aligned around similar goals and objectives / cross-team prioritization. Carries out ongoing analysis of product capability themes in order to support product direction.
Delivers product innovation, definition, deliverables planning (roadmap), and design of entirely new products to deliver against team and company goals.
Interprets and communicates product development builds on cross-departmental knowledge and puts the customer at the heart of all product changes.
Engages senior cross functional leaders and proactively addresses and resolves issues, fostering effective communication, and promoting alignment between business and operations teams, product, engineering, and customer support teams, as needed.