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Position Summary

Leads Marathon’s enterprise Decision Intelligence capability across Business Intelligence, Machine Learning, and Artificial Intelligence, including Generative AI, AI agents, and Agentic Systems. Sets the strategy and operating model that connect trusted data, analytics, enterprise knowledge, and AI to improve the quality and speed of business decisions. Provides leadership for the BI and Machine Learning functions through their respective managers and directly owns the vision, framework, platform strategy, and implementation model for enterprise AI, agents, and agentic AI. Partners across business, architecture, engineering, governance, cybersecurity, platform operations, and Digital Product Delivery to establish reusable enterprise capabilities, enable federated delivery, and move high-value solutions from experimentation to governed, scalable operations. Leads managers and individual contributors while building talent, delivery discipline, and measurable business value. 

 

Key Responsibilities

·       Leads managers and individual contributors through guidance, coaching, and support to ensure assignments align with organizational goals and established policies. Drives recruitment, development, retention, performance management, and succession planning to build a strong talent pipeline.

·       Collaborates with key stakeholders and senior management to provide strategic guidance on technology risks, opportunities, and prioritization, ensuring cost-effective and agile solutions.

·       Oversees the planning, design, implementation, and measurement of IT systems, balancing agility with stability, security, and efficiency.

·       Defines and executes the enterprise Decision Intelligence strategy and roadmap across Business Intelligence, Machine Learning, Generative AI, AI agents, and agentic systems, aligned to Marathon’s business priorities and measurable value outcomes. 

·       Provides executive leadership for the Business Intelligence function, including enterprise reporting, dashboards, self-service analytics, trusted semantic models, reusable KPI definitions, adoption, and governance alignment. 

·       Provides executive leadership for the Machine Learning function, including advanced analytics, predictive and optimization models, computer vision, model lifecycle management, MLOps integration, production monitoring, and value realization. 

·       Directly owns the vision and implementation of Marathon’s enterprise AI capability, including the AI framework, platform strategy, reference architectures, reusable services, engineering patterns, evaluation standards, AgentOps practices, and operating model. 

·       Establishes the strategy for enterprise agents and agentic AI, including agent discovery and registration, identity, approved tools and interfaces, orchestration, human approval, evaluation, observability, lifecycle management, and safe escalation or stopping controls. 

·       Advances the Marathon Enterprise Knowledge System by connecting governed data products, semantic models, metadata, business context, ontology and knowledge graphs, documents, skills, tools, and prior decisions into reusable context for analytics and AI. 

·       Defines clear placement and integration patterns for application-native agents, data- and AI-intensive agents, and cross-system enterprise agents while preserving authoritative systems, business ownership, and enterprise controls. 

·       Creates a federated delivery model that allows domain and product teams to build within common enterprise standards without making Decision Intelligence a delivery bottleneck. Clarifies decision rights, escalation routes, support expectations, and product accountability. 

·       Leads the disciplined progression of AI capabilities from exploration to pilot, production, and scale. Requires explicit business ownership, success measures, production readiness, operating support, adoption plans, and benefits realization. 

·       Partners with Data Architecture & Engineering, Data Products Governance, Data Operations & Platforms, Cybersecurity, Enterprise Architecture, Legal, Risk, and business leaders to embed security, privacy, responsible AI, data quality, resilience, and compliance controls into solutions. 

·       Continuously assesses emerging analytics and AI technologies, including Microsoft Foundry and Azure services, Databricks, application-native agents, industrial AI platforms, and relevant open standards, and recommends where they fit Marathon’s target architecture. 

·       Establishes portfolio and performance measures covering business outcomes, adoption, quality, reliability, cost, model and agent performance, risk, reuse, and operational health. 

·       Influences senior business and technology stakeholders to prioritize the highest-value opportunities, resolve cross-functional ownership decisions, and align investment, architecture, and delivery capacity. 

 

 

Education and Experience

• Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Engineering, Business, or other computer-related degree required.
• Twelve (12) or more years of diversified IT experience required.
• Five (5) or more years directly managing professional staff required.
• Experience leading multiple analytics or AI disciplines through managers and senior technical leaders strongly preferred. 
• Demonstrated experience establishing or materially transforming an enterprise analytics, machine learning, or AI capability from strategy through governed production adoption required. 
• Experience defining enterprise AI architecture, platform capabilities, operating models, governance, and lifecycle controls for agents or Generative AI strongly preferred. 
• Experience in a complex, regulated, asset-intensive, energy, manufacturing, or industrial enterprise preferred. 

Skills

• Strategic Outlook - Examines issues, generates ideas, creates future scenarios, and develops plans with a long-term perspective. Ensures short-term goals support long-term strategy and that organizational/functional strategy aligns with and supports MPC’s overall business strategy.
• Business Acumen - Applies knowledge of MPC’s business, industry, and the marketplace to advance the
• organization’s goals. Makes decisions and recommendations clearly linked to MPC’s strategy.
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• Results Driven - Drives operational and process excellence and innovative behavior by empowering others, collaborating, taking appropriate risks, making timely decisions, and holding people accountable for results.
• Authentic Communicator - Expresses ideas and information, both verbally and in writing, clearly and credibly. Listens to understand and fosters constructive dialogue.
• Continuous Improvement Mindset - Identifies and leads opportunities for continuous improvement and value creation, both incremental and large-scale.
• Energizing the Organization - Creates a purposeful, engaged, optimistic workforce.
• Ongoing Learning & Self-Development - Regularly determines new areas for learning and acquires strategies and best practices for gaining/improving knowledge, behaviors, and skills.
• Selecting and Developing People - Recognizes and selects high caliber talent, accurately assesses abilities and potential, coaches to develop capabilities and builds high- performing teams.
• Adaptability – Maintaining effectiveness when experiencing major changes in work responsibilities or environment (e.g., people, processes, structure, or culture); adjusting effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful.
• Data-Driven Decision Making – Applies data to make informed decisions with a priority on using real-time data, analytics, and insights to optimize operations, improve safety, and enhance the company's competitive edge.
• Digital Awareness – Actively explore, learn, and implement emerging digital tools, technologies, and trends. Involves seeking out new information, asking insightful questions, and testing innovative approaches to understand how digital solutions can create value, improve processes, or enhance experiences. Demonstrates openness to change, continuous learning, and adapting to the evolving digital landscape.
• Influencing Others - The ability to garner support for initiatives by gaining the respect of others and inspiring trust and confidence.

MINIMUM QUALIFICATIONS:

• Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Engineering, Business, or other computer-related degree required.
• Twelve (12) or more years of diversified IT experience required.
• Five (5) or more years directly managing professional staff required.
• Experience leading multiple analytics or AI disciplines through managers and senior technical leaders strongly preferred. 
• Demonstrated experience establishing or materially transforming an enterprise analytics, machine learning, or AI capability from strategy through governed production adoption required. 
• Experience defining enterprise AI architecture, platform capabilities, operating models, governance, and lifecycle controls for agents or Generative AI strongly preferred. 
• Experience in a complex, regulated, asset-intensive, energy, manufacturing, or industrial enterprise preferred. 

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

Location:

San Antonio, Texas

Additional locations:

Findlay, Ohio, Houston, Texas

Job Requisition ID:

00025228

Location Address:

19100 Ridgewood Pkwy

Education:

Bachelors: Information Technology (Required)

Employee Group:

Full time

Employee Subgroup:

Regular

Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship  or any other status protected by applicable federal, state, or local laws.  If you would like more information about your EEO rights as an applicant, click here.

If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. 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. Detailed benefit information is available at https://mympcbenefits.com.The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.

Equal Opportunity Employer: Veteran / Disability

We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.