Lead Data Governance Analyst

Marathon Petroleum Corporation•Findlay, OH

About The Position

Marathon Petroleum's Digital organization is seeking a Lead Data Governance Analyst to advance data governance and data product enablement across related business domains for the Middle Office function and Order to Cash global process. Working with Global Process Owners, Domain Owners, Data Product Owners, business Data Stewards, and Digital partners, the role turns the federated data governance model into sustainable business capabilities. It requires deep business and data understanding to solve data-related problems, mature governance practices, and partner with Digital to deliver valuable, high-quality data products. As part of Enterprise Data Governance, the analyst advises, coaches, facilitates, and shares knowledge across organizational levels so the data strategy addresses real business problems. The role establishes the data governance operating model across each domain and provides ongoing coaching and change enablement while preserving business ownership and decision rights. It demonstrates how technology-stack components support data governance, gathers internal-customer feedback about workflows and platform capabilities, and contributes to enterprise accelerators, templates, and training materials. The position translates domain policy and compliance needs into platform-control requirements and works with appropriate teams to ensure controls operate properly. It contributes to audit discussions by clarifying control ownership, effectiveness criteria, and evidence, partnering with technical implementers and control owners without configuring controls or replacing independent assurance. The position is based in Findlay, Ohio, with additional listed locations in Houston and San Antonio, Texas.

Requirements

Bachelor’s degree in Information Technology, a related field, or equivalent experience.
Seven or more years of relevant experience; the minimum qualifications also state 7+ years of relevant architecture experience.
Hands-on data analyst experience using SQL for 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; facilitate governance activation or comparable operating-model/change initiatives; and sustain 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 or ability in data classification, data cleansing, data ethics, data governance, governance communication and frameworks, governance tools, data privacy, data quality management, data stewardship, identity and access management, and master data management.

Nice To Haves

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.

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 and advocate for data governance at the executive level.
Lead the design of data governance maturity models and roadmaps; assess assigned-domain maturity and develop improvement roadmaps with business leadership.
Develop strategic external partnerships, oversee data governance budgeting and resource allocation, and establish function KPIs.
Lead crisis management in the event of data breaches or non-compliance.
Develop deep expertise in assigned domains, including business processes, concepts, measures, digital systems, authoritative sources, and data dependencies.
Use SQL, profiling, grain/key/join analysis, business-rule validation, and reconciliation to answer substantive questions with evidence and limitations.
Lead domain activation, agree on evidence-based maturity targets with business leadership, and confirm that participants can sustain required governance practices before activation exit.
Coach domain stakeholders after 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 forums, records, and escalation routines.
Build independent business Data Steward capability without taking on routine stewardship or Domain Owner approval rights.
Demonstrate data-catalog use to domain personas and equip business stewards to train consumers.
Consult with process, domain, and product owners on business problems, reusable data-product opportunities, requirements, value, and roadmap options.
Identify opportunities to reuse existing data products before proposing new development and support certification readiness.
Explain MPC's data strategy and high-level architecture in business and technical language, and translate domain needs into data, platform, governance, and data-product capabilities.
Develop walkthroughs and train-the-trainer coaching so business Data Stewards can lead consumer enablement and data literacy.
Maintain customer-facing relationships with domain personas; gather feedback on training materials, templates, accelerators, AI-enabled governance workflows, and platform usability; translate feedback into improvements and follow through with partners.
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.