Lead Data Governance Analyst

Location: Findlay, Ohio; Houston, Texas; San Antonio, Texas

Employment: Full time

An exciting career awaits you

At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.

Position Summary

Marathon Petroleum's Digital organization is seeking a Lead Data Governance Analyst to advance data governance and data product enablement across a portfolio of 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, this position turns our federated data governance model into sustainable business capabilities. This role must develop deep business and data understanding to effectively partner and create value. The successful candidate will use that understanding to solve data-related problems through maturing data governance practices and partnership with Digital to deploy valuable, high-quality data products. This role operates as part of our Enterprise Data Governance function and must be able to advise, coach, facilitate, and share knowledge across multiple levels of the organization to ensure our data strategy solves real business problems.

This role will be responsible for standing up the data governance operating model across each domain and must provide ongoing coaching and change enablement to the domains while preserving their business ownership and decision rights. This position must be able to demonstrate how every component of our technology stack contributes to data governance excellence and will collect feedback on workflows and platform capabilities from our internal customers. This role will contribute to Enterprise Data Governance accelerators, templates, and training materials.

The position also translates domain policy and compliance needs into platform control requirements and drives follow-through with the appropriate teams to ensure controls are working properly. This role contributes to audit discussions using clear control ownership, effectiveness criteria, and evidence, partnering with technical implementers and control owners without configuring controls or replacing independent assurance.

Key Responsibilities

• Sets the vision for the data governance function in alignment with organizational objectives.
• Drives collaboration between data governance and other strategic departments.
• Acts as the primary point of contact for regulatory bodies and external auditors.
• Develops solutions to complex data governance challenges.
• Advocates for the importance of data governance at the executive level.
• Leads the design of data governance maturity models and roadmaps.
• Develops strategic partnerships externally to elevate the organization's data governance posture.
• Oversees data governance budgeting and resource allocation.
• Establishes key performance indicators (KPIs) for the data governance function.
• Leads high-stakes crisis management in the event of data breaches or non-compliance.
• Develops deep expertise in assigned domains across business processes, concepts, measures, digital systems, authoritative sources, and data dependencies.
• Uses 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.
• Leads domain activation, agrees on evidence-based maturity targets with business leadership, and validates that domain participants can independently sustain required governance practices before activation exit.
• Routinely assesses maturity of assigned domains and develops improvement roadmaps with business leadership.
• Sustains coaching and stakeholder relationships after initial domain activation, tracks outcomes and actions, and provides portfolio visibility through domain forums and enterprise governance reporting.
• Shares governance policies and roles, facilitates business input into domain charters, clarifies scope and decision rights, and establishes practical forums, records, and escalation routines.
• Builds independent business Data Steward capability without absorbing routine stewardship or the approval rights of Domain Owners.
• Demonstrates how domain personas use the data catalog to find, understand, and appropriately access data, equipping business stewards to train consumers.
• Consults with process, domain, and product owners on business problems, reusable data-product opportunities, requirements, expected value, and roadmap options.
• Identifies opportunities to reuse existing data products before proposing new development and supports certification readiness.
• Explains MPC's data strategy and high-level architecture in business and technical language.
• Ensures domain needs are translated into the right data, platform, governance, and data product capabilities.
• Develops repeatable walkthroughs and train-the-trainer coaching for business Data Stewards, who lead ongoing consumer enablement and data literacy over respective domains.
• Maintains customer-facing relationships with domain personas and actively gathers feedback on training materials, templates, accelerators, AI-enabled governance workflows, and platform usability.
• Translates feedback into actionable improvements with platform/delivery partners, tracks follow-through, and closes the loop with customers.
• Maps applicable enterprise and domain policy requirements, including regulated and restricted-data requirements, to platform controls; confirms design, implementation and operating effectiveness with control owners using evidence and drives remediation or escalation of gaps.

Education and Experience

Bachelor’s Degree in Information Technology, related field or equivalent experience required. Seven (7) or more years of relevant experience required.

Additional required experience for this position:

• 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; facilitate data 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.

Preferred experience for this position:

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

Skills

• Data Classification - Knowledge of the process of formally grouping Configuration Items by type, e.g. software, hardware, documentation, environment, application. Knowledge of the process of formally identifying Changes by type, e.g. project scope change request, corrective change request, innovative function change request, technical infrastructure change request. And, knowledge of the process of formally identifying Incidents, Problems and Known Errors by origin, symptoms and cause.
• Data Cleansing - Data scrubbing, also called data cleansing, is the process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated.
• Data Ethics - Knowledge of ethical considerations related to data usage, data-driven technologies and strategies to mitigate biases in data-driven decision-making.
• Data Governance - Ability to establish and oversee a set of procedures, policies, and standards that ensure the effective and efficient management of an organization's data assets. This includes ensuring data quality, compliance with relevant laws and regulations, and secure data handling practices. It also involves the coordination between different departments to ensure that data is accurate, accessible, and used responsibly and ethically.
• Data Governance Communication - Data governance communication involves the effective dissemination of policies, guidelines, and best practices related to the management and use of data within an organization. It aims to ensure clear understanding, compliance, and collaboration among stakeholders, fostering a culture of responsible and consistent data practices.
• Data Governance Framework - Proficiency in implementing and managing data governance frameworks, policies, and standards to ensure data quality, integrity, and compliance.
• Data Governance Tools - Familiarity with data governance tools and technologies that facilitate data management, metadata management, and data governance workflows.
• Data Privacy - Ability to understand and implement practices that ensure the protection and confidential handling of personal and sensitive information. This includes knowledge of relevant laws and regulations (such as GDPR or HIPAA), the ability to design and enforce policies that safeguard data, and the skills to manage data access rights and consent protocols.
• Data Quality Management - Strong understanding of data quality dimensions, methodologies, and best practices to establish and maintain data quality standards and processes.
• Data Stewardship - Proficiency in data stewardship practices, including data classification, metadata management, data lineage, and data lifecycle management.
• Identity Access Management (IAM) - Identity and access management (IAM) is a framework of business processes, policies and technologies that facilitates the management of electronic or digital identities, ensuring that the right users have the appropriate access to technology resources.
• Master Data Management (MDM) - Master Data Management (MDM) is a method of managing and organizing an organization's critical data to ensure consistency, accuracy, and coherence across various systems. It involves establishing a single, authoritative source for key data entities, such as customer information, product details, and other essential business data.

Minimum Qualifications

• Bachelor’s Degree in Information Technology, related field or equivalent experience.
• 7+ years of relevant architecture experience.

As an energy industry leader, our career opportunities fuel personal and professional growth.

Location: Findlay, Ohio

Additional locations: Houston, Texas, San Antonio, Texas

Job Requisition ID: 00024889

Location Address: 539 S Main St

Education: Bachelors: Information Technology

Employee Group: Full time

Employee Subgroup: Regular

Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.