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Marathon Petroleum Corporation

Senior Product Manager

Marathon Petroleum Corporation

Data Product Manager responsible for defining and delivering enterprise data products that enable business decision-making. Collaborating with teams to drive measurable business value through data products.

Posted 5/20/2026full-timeFindlay • Ohio, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
ETL

About the role

Key responsibilities & impact
  • Define and own the strategy, vision, and roadmap for data products, ensuring alignment with business outcomes and enterprise data strategy.
  • Translate business capabilities, KPIs, and decision needs into data product requirements and measurable value outcomes.
  • Partner with Data Partner, Digital Partners, and business stakeholders to ensure data products are aligned to cross-functional processes and “run-as-one” priorities.
  • Conduct customer research, product discovery, and synthesize market factors into a cohesive product strategy.
  • Collaborate with internal customers to understand challenges and opportunities.
  • Collect quantitative data and evaluate the viability of product initiatives.
  • Lead data product discovery efforts, including identification of required data sources, data domains, and transformation needs.
  • Define data product scope, including data models, business rules, semantic layers, and consumption patterns.
  • Ensure data products are designed for reusability, scalability, and interoperability across business units.
  • Ensure data products adhere to enterprise data governance, quality, security, and compliance standards.
  • Partner with Data Engineering and Architecture teams to define data lineage, metadata, and stewardship expectations.
  • Act as the primary bridge between business stakeholders and technical delivery teams for data-centric products.
  • Collaborate with Data Engineers, Data Scientists, Architects, and UX/BI teams to align on data design, usability, and technical feasibility.
  • Drive alignment across workstreams to ensure consistent definitions and shared data assets across domains.
  • Translate product strategy into well-defined epics and features specific to data pipelines, transformations, and consumption layers.
  • Prioritize backlog items based on business value, data readiness, dependencies, and technical complexity.
  • Ensure clarity of requirements related to data sources, transformations, validation rules, and acceptance criteria.
  • Prioritize the short-term feature backlog and releases, as well as the long-term product roadmap.
  • Collaborate with portfolio teams, stakeholders, and business representatives to address and resolve issues that arise during product development.
  • Identify product-related issues, make decisions, and continuously analyze trade-offs to ensure development stays on track toward deliverable commitments.
  • Drive adoption of data products through clear documentation, stakeholder enablement, and integration into business processes.
  • Define and track value realization metrics.

Requirements

What you’ll need
  • Bachelor’s Degree in Information Systems, related field or equivalent work experience required.
  • Product Owner certification or Product Management certification preferred.
  • 5+ 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.
  • Familiarity with data governance, data quality, and metadata management practices.
  • Experience supporting AI/ML or advanced analytics use cases is preferred.
  • Energy industry or adjacent industry experience preferred, with understanding of operational and financial data domains.

Benefits

Comp & perks
  • Health insurance
  • Paid time off
  • 401k matching program
  • Paid parental leave
  • Educational reimbursement
  • Discretionary company-sponsored annual bonus program

ATS Keywords

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Hard Skills & Tools
data product managementdata modelingETLELTdata governancedata qualitymetadata managementanalytics platformsdata ecosystemsAI/ML
Soft Skills
collaborationcommunicationleadershipproblem-solvingstrategic thinkingstakeholder managementprioritizationcustomer researchdecision makingadaptability
Certifications
Bachelor's Degree in Information SystemsProduct Owner certificationProduct Management certification