Decision Intelligence Director

4500 Marathon Petroleum Company LP; San Antonio (TX); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health insurance

401k matching

Paid time off

Educational reimbursement

Annual bonus

Job summary

Marathon Petroleum Corporation in San Antonio, TX, seeks a senior leader to direct the enterprise Decisions Intelligence program across BI, ML, Generative AI, and agentic systems. You will set strategy, operating model, and a scalable platform that connects trusted data, analytics, and AI to improve decision quality and speed.

You will lead managers and individual contributors, partnering with architecture, governance, cybersecurity, and Digital Product Delivery to move high‑value solutions from

Qualifications

• Bachelor’s degree in a computer‑related field is required.
• Twelve (12) or more years of diversified IT experience.
• Five (5) or more years directly managing professional staff.
• Experience leading analytics or AI disciplines through managers and senior leaders is preferred.
• Experience establishing enterprise AI architecture, platform capabilities, and governance for agents or Generative AI is preferred.
• Experience in a complex, regulated, asset‑intensive, energy, manufacturing, or industrial enterprise is preferred.

Responsibilities

• Leads managers and individual contributors to align with organizational goals and policies.
• Provides strategic guidance on technology risks, opportunities, and prioritization.
• Oversees design, implementation, and measurement of IT systems for agility, security, and efficiency.
• Defines and executes the enterprise Decision Intelligence strategy and roadmap across BI, ML, Generative AI, AI agents, and agentic systems.
• Leads BI and ML functions including governance, dashboards, and model lifecycle management.
• Owns the vision and implementation of the enterprise AI capability, platform strategy, and reference architectures.
• Establishes the strategy for enterprise agents and agentic AI, including lifecycle controls and safety.

Education

Bachelor’s degree in Computer Science, Information Technology, Management Information Systems, Engineering, Business, or other computer‑related degree

Tools

Microsoft Foundry

Azure

Databricks

Job description

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.

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.

Location

San Antonio, Texas

Additional locations: Findlay, Ohio; Houston, Texas

Job Requisition ID

00025228

Employee Group

Full time

Employee Subgroup: Regular

Benefits

• 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.

Equal Opportunity Statement

Marathon Petroleum Corporation 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 need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at [e-mail]. 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.

About Marathon Petroleum Corporation

Marathon Petroleum Corporation (MPC) is a leading, integrated, downstream energy company headquartered in Findlay, Ohio. The company operates the nation’s largest refining system. MPC’s marketing system includes branded locations across the United States, including Marathon brand retail outlets. MPC also owns the general partner and majority limited partner interest in MPLX LP, a midstream company that owns and operates gathering, processing, and fractionation assets, as well as crude oil and light product transportation and logistics infrastructure.