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Marathon Petroleum

Refines and sells gasoline, diesel and jet fuel

Lead Data Governance Analyst

Data ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Information Technology, a related field, or equivalent experience is required.
  • At least seven years of relevant experience is required; the minimum qualifications additionally specify seven or more years of relevant architecture experience.
  • Demonstrated hands-on data analyst experience using SQL for data profiling, joins, grain/key analysis, reconciliation, quality investigation, and translating business concepts and rules into defensible analytical answers.
  • Experience working with business stakeholders to understand processes, systems, and data needs; facilitating data governance activation or comparable operating-model/change initiatives; and sustaining progress across multiple workstreams or domains.
  • Experience training, facilitating decisions, coaching others, and influencing without direct authority, including translating technical concepts into business language and preparing practical demonstrations or reusable training materials.
  • Experience applying metadata, lineage, quality, stewardship, and issue-management practices, and translating business needs into reusable data-product requirements and value opportunities.
  • Experience translating policy or compliance requirements into data/platform controls, identifying accountable owners, reviewing effectiveness evidence, and facilitating audit or control-remediation discussions with technical and control-function partners.
  • Knowledge of data classification, including categorizing configuration items, changes, incidents, problems, and known errors.
  • Knowledge of data cleansing, including amending or removing incorrect, incomplete, improperly formatted, or duplicated database data.
  • Knowledge of data ethics and approaches to mitigating bias in data-driven decision-making.
  • Ability to establish and oversee data governance procedures, policies, and standards, including data quality, regulatory compliance, secure handling, cross-departmental coordination, and responsible data use.
  • Ability to effectively communicate data governance policies, guidelines, and practices to stakeholders.
  • Proficiency in implementing and managing data governance frameworks, policies, and standards for data quality, integrity, and compliance.
  • Familiarity with data governance tools and technologies for data management, metadata management, and governance workflows.
  • Ability to protect and confidentially handle personal and sensitive information, including understanding applicable privacy laws and regulations and managing data access rights and consent protocols.
  • Strong understanding of data quality dimensions, methodologies, and best practices for establishing and maintaining data quality standards and processes.
  • Proficiency in data stewardship practices, including data classification, metadata management, data lineage, and data lifecycle management.
  • Knowledge of identity and access management processes, policies, and technologies for managing digital identities and appropriate access to technology resources.
  • Knowledge of master data management practices for consistent, accurate, and coherent data across systems.

Responsibilities

  • Set the vision for the data governance function in alignment with organizational objectives.
  • Drive collaboration between data governance and other strategic departments.
  • Act as the primary point of contact for regulatory bodies and external auditors.
  • Develop solutions to complex data governance challenges.
  • Advocate for the importance of data governance at the executive level.
  • Lead the design of data governance maturity models and roadmaps.
  • Develop external strategic partnerships to elevate the organization's data governance posture.
  • Oversee data governance budgeting and resource allocation.
  • Establish key performance indicators for the data governance function.
  • Lead high-stakes crisis management in response to data breaches or non-compliance.
  • Develop deep expertise in assigned domains across business processes, concepts, measures, digital systems, authoritative sources, and data dependencies.
  • Use SQL, profiling, grain/key/join analysis, business-rule validation, and reconciliation to connect concepts to actual data and answer substantive questions with evidence and limitations.
  • Lead domain activation, agree on evidence-based maturity targets with business leadership, and validate that domain participants can independently sustain required governance practices before activation exit.
  • Routinely assess the maturity of assigned domains and develop improvement roadmaps with business leadership.
  • Sustain coaching and stakeholder relationships after initial domain activation, track outcomes and actions, and provide portfolio visibility through domain forums and enterprise governance reporting.
  • Share governance policies and roles, facilitate business input into domain charters, clarify scope and decision rights, and establish practical forums, records, and escalation routines.
  • Build independent business Data Steward capability without absorbing routine stewardship or Domain Owners' approval rights.
  • Demonstrate how domain personas use the data catalog to find, understand, and appropriately access data, and equip business stewards to train consumers.
  • Consult with process, domain, and product owners on business problems, reusable data-product opportunities, requirements, expected value, and roadmap options.
  • Identify opportunities to reuse existing data products before proposing new development and support certification readiness.
  • Explain the company's data strategy and high-level architecture in business and technical language.
  • Ensure domain needs are translated into appropriate data, platform, governance, and data-product capabilities.
  • Develop repeatable walkthroughs and train-the-trainer coaching for business Data Stewards, who lead ongoing consumer enablement and data literacy for their domains.
  • Maintain customer-facing relationships with domain personas; gather feedback on training materials, templates, accelerators, AI-enabled governance workflows, and platform usability.
  • Translate feedback into actionable improvements with platform and delivery partners, track follow-through, and close the loop with customers.
  • Map applicable enterprise and domain policy requirements, including regulated and restricted-data requirements, to platform controls; confirm design, implementation, and operating effectiveness with control owners using evidence; and drive remediation or escalation of gaps.

Desired Qualifications

  • Experience with Databricks and Unity Catalog, Microsoft Purview or comparable catalog tools, BigEye or comparable observability tools, and master data management platforms.
  • Experience supporting data environments with regulated and restricted-data requirements, collecting customer feedback, or improving governance training, templates, accelerators, and AI-enabled workflows.

About the Company

Marathon Petroleum

Refines and sells gasoline, diesel and jet fuel

Marathon Petroleum refines crude oil into gasoline, diesel, jet fuel and other products for wholesale buyers and branded fuel stations across the United States. It runs what it calls the nation's largest refining system, with 13 refineries spread across the Gulf Coast, Mid-Continent and West Coast. Its fuel reaches drivers under the Marathon and ARCO brands, and it co-owns a California plant with Neste that makes renewable diesel from fats and plant oils. The company earns most of its money selling refined fuels, while its controlled partnership MPLX gathers, processes and moves natural gas, crude oil and fuel. Marathon Petroleum traces its roots to 1887 and is based in Findlay, Ohio.

Company size
10,001+
Company stage
IPO
Headquarters
Findlay, OH
Founded
1887

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