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Lead Product Manager – Data Products
Marathon Petroleum Corporation. Develop and govern domain-driven data product strategy and portfolio aligned to business outcomes and enterprise priorities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and governing domain-driven data product strategies, ensuring alignment with business outcomes and enterprise priorities. Proficient in data governance, product management, and collaboration across technical and business stakeholders to drive product innovation and maximize value.
Highest-signal resume keywords
Data Product ManagementData GovernanceAgile MethodologiesCross-Functional CollaborationProduct Owner Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData Quality ManagementETL/ELT ProcessesData WarehousingData LakesAnalytics PlatformsAI/ML Use CasesBacklog ManagementProduct Lifecycle ManagementMarket Trend Analysis
Soft Skills
Business AcumenHuman-Centered DesignStakeholder EngagementCommunicationProblem-Solving
Certifications & Qualifications
Product Owner CertificationProduct Management Certification
Industry Keywords
Data EcosystemsRefinery OperationsManufacturing ProcessesData-Driven SolutionsAnalytics Use Cases
Tech Stack
Tools & technologiesETL
About the role
Key responsibilities & impact- Develop and govern domain-driven data product strategy and portfolio aligned to business outcomes and enterprise priorities
- Define and standardize domain data concepts, entities, relationships, and KPI logic
- Lead data product roadmap and prioritization
- Translate business needs into logical data models, data contracts, and product structures
- Establish and enforce data governance, quality, lineage, metadata, and stewardship standards
- Ensure data products are discoverable, governed, continuously improved, and aligned with enterprise frameworks
- Partner with Data and Solution Architects on enterprise architecture, data models, and integration patterns
- Own and prioritize the data product backlog and coordinate cross-team and cross-platform dependencies
- Engage senior leaders on data priorities, definitions, product direction, investment decisions, and cross-domain challenges
- Analyze data usage, quality, and product performance to refine direction and maximize value
- Drive collaboration and innovation across technical and business stakeholders
- Develop customer- and internal-facing product development strategies and user experiences across multiple verticals
- Lead product roadmaps, prioritize feature releases, and align them with business objectives
- Collaborate with portfolio teams, stakeholders, and business leaders to identify and resolve product development challenges
- Organize stakeholder priorities and align needs with resources, customer value, business value, and strategic fit
- Prioritize backlogs, processes, and release plans for complex products and coordinate interdependencies with scrum teams and lines of business
- Align teams around shared goals and cross-team priorities
- Deliver product innovation, new product definitions, roadmaps, and designs
- Communicate product development builds and keep customers central to product changes
- Engage senior cross-functional leaders and resolve issues across business, operations, product, engineering, and customer support teams
Requirements
What you’ll need- Bachelor’s Degree in Information Systems, Information Technology, related field or equivalent work experience required
- Product Owner certification or Product Management certification required
- MBA or equivalent preferred
- 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
- Experience supporting AI/ML or advanced analytics use cases preferred
- Refining industry experience preferred, with understanding of refinery operations, manufacturing processes, and relevant data domains
- Agile methodologies
- Backlog management
- Business acumen
- Human-centered design
- Market trend analysis
- Marketing
- Product development
- Product lifecycle management
- Product strategies
- Vendor management
Benefits
Comp & perks- Health insurance
- Vision insurance
- Dental insurance
- Paid time off
- 401k matching program
- Paid parental leave
- Educational reimbursement
- Discretionary company-sponsored annual bonus program