Lead Product Manager - Data Products

Marathon Petroleum Corporation•Findlay, OH

About The Position

The Lead Product Manager is part of Marathon Petroleum’s Data, Analytics & AI organization, which develops trusted, reusable data products that support business outcomes across the company’s value streams. The role leads discovery, design, strategy, and delivery of data products for an assigned enterprise domain: Commercial, Midstream, Refining, or Corporate functions. It partners with Digital Partners, business stakeholders, product teams, data and solution architects, and cross-functional technical teams to translate business problems into scalable, high-quality data products, such as curated datasets, data models, analytics-ready assets, and AI/ML enablement. The position combines product management, data strategy, and business domain expertise. It is accountable for product strategy and portfolio, roadmaps and backlogs, data definitions and models, governance and quality, stakeholder alignment, and delivery across teams and platforms. The role also leads complex product development and coordinates priorities, feature releases, interdependencies, and continuous improvement to maximize customer and business value. The actual position title and pay grade depend on the selected candidate’s experience and qualifications.

Requirements

Bachelor’s degree in Information Technology, Information Systems, a related field, or equivalent work experience.
Product Owner certification or Product Management certification.
At least 7 years of relevant product manager experience; the minimum qualifications also state 7 or more years of relevant experience.
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.
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.
Skills in Agile methodologies, communication, backlog management, business acumen, decision-making, human-centered design, industry product knowledge, market trend analysis, marketing, product development, product lifecycle management, product strategy, storytelling, and vendor management.

Nice To Haves

MBA or equivalent.
Experience supporting AI/ML or advanced analytics use cases.
Refining industry experience, including understanding of refinery operations, manufacturing processes, and data domains supporting operational performance, reliability, optimization, planning, and financial outcomes.

Responsibilities

Develop and govern domain-driven data product strategy and portfolio aligned with business outcomes, global processes, and enterprise priorities.
Define and standardize domain data concepts, entities, relationships, and KPI logic across business units and systems.
Lead data product roadmap development and prioritization, aligning capabilities and data assets with business value, data availability, and enterprise standards.
Translate business needs into logical data models, data contracts, and product structures for governed, reusable, and scalable data products.
Establish and enforce data governance, quality, lineage, metadata, and stewardship standards.
Ensure data products are discoverable, governed, continuously improved throughout their lifecycle, and aligned with enterprise frameworks and standards.
Partner with Data and Solution Architects to align products with enterprise architecture, data models, and integration patterns.
Own and prioritize the data product backlog, convert strategy into executable work, and coordinate cross-team and cross-platform dependencies.
Engage senior leaders to align data priorities, definitions, and product direction, drive value-based investment decisions, and resolve cross-domain challenges.
Analyze data usage, quality, and product performance to refine direction, improve accessibility, and maximize value realization.
Promote collaboration and innovation in data products and analytics enablement, and communicate product strategy, design, and value to technical and business stakeholders.
Develop customer- and internal-facing product strategies, visions, goals, and user experiences across multiple verticals; take accountability for complex or critical products, product lines, or portfolios.
Lead product roadmaps, prioritize feature releases, align them with business objectives, and coordinate cross-functional insights and release planning.
Work with portfolio teams, stakeholders, and business leaders to identify and address product-development challenges and execute product strategy successfully.
Organize stakeholder priorities and align needs with resources, customer value, business value, and strategic fit; consult leadership and teams on value-driven priorities and decisions.
Prioritize product backlogs, processes, and release plans for multiple features; coordinate dependencies with Scrum teams and across lines of business.
Align teams around shared goals and cross-team priorities, and analyze product capability themes to inform product direction.
Deliver product innovation, definition, roadmap planning, and design for new products that advance team and company goals.
Interpret and communicate product development across departments, incorporating customer needs into product changes.
Engage senior cross-functional leaders to resolve issues and promote alignment among business and operations, product, engineering, and customer support teams.