Enterprise Data Product Manager - AI & Analytics

Marathon Petroleum Corporation

San Antonio, Northern (TX, KY)

Hybrid

USD 120,000 - 180,000

Full time

12 days ago

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Benefits offered by this job

Health, vision, and dental insurance
Paid time off
401k matching program
Paid parental leave
Educational reimbursement
Discretionary bonus program

Job summary

Marathon Petroleum Corporation seeks a Data Product Manager to define and deliver enterprise data products enabling business decisions and analytics across Commercial, Midstream, Refining, or Corporate functions.

The role blends product management, data strategy, and business-domain expertise, translating problems into scalable data products like datasets, data models, and analytics-ready assets. You will partner with architects to ensure scalable, governance-focused data solutions.

Qualifications

  • Bachelor’s degree in Information Systems, related field or equivalent work experience required.
  • Product Owner certification or Product Management certification required.
  • MBA or equivalent preferred.

Responsibilities

  • Develops and governs domain data product strategy and portfolio, aligned to business outcomes and enterprise priorities.
  • Defines and standardizes domain data concepts, entities, relationships, and KPI logic across units.
  • Leads data product roadmap and prioritization, aligning capabilities and data assets to business value.

Skills

Agile methodologies
Authentic communicator
Backlog management
Business acumen
Decision making
Human-centered design
Industry product knowledge
Market trend analysis
Product development
Product lifecycle management
Product strategies
Storytelling
Vendor management

Education

Bachelor’s degree in Information Systems or related field
Product Owner certification or Product Management certification
MBA or equivalent preferred

Job description

Marathon Petroleum Corporation seeks a Data Product Manager to define and deliver enterprise data products enabling business decisions and analytics across Commercial, Midstream, Refining, or Corporate functions.

The role blends product management, data strategy, and business-domain expertise, translating problems into scalable data products like datasets, data models, and analytics-ready assets. You will partner with architects to ensure scalable, governance-focused data solutions.

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