Marathon Petroleum actively drives its digital transformation by integrating advanced technologies across its extensive refining and logistics network. This involves deploying AI for operational optimization, modernizing core ERP systems, and centralizing data on cloud platforms. Their approach focuses on system-level changes to enhance precision and control within complex industrial environments. Marathon Petroleum digital transformation initiatives are designed to improve efficiency, safety, and sustainability.
This comprehensive digital shift creates critical dependencies on robust data pipelines and seamless system integrations. Risks arise from data inconsistencies across disparate platforms and the potential for operational disruptions if new technologies fail to propagate correctly. This page analyzes these key Marathon Petroleum digital transformation initiatives and the specific challenges they introduce across Marathon Petroleum's operations.
Marathon Petroleum Snapshot
Headquarters: Findlay, Ohio, U.S.
Number of employees: 10,000+ employees
Public or private: Public
Business model: Both (B2B & B2C)
Website: https://www.marathonpetroleum.com
Marathon Petroleum ICP and Buying Roles
Marathon Petroleum sells to large-scale industrial and energy companies focused on complex asset management and supply chain operations.
Who drives buying decisions
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Chief Digital Officer → Oversees enterprise-wide digital strategy and technology adoption.
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VP, Refining Operations → Manages efficiency and performance of refining assets.
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CISO → Directs cybersecurity strategy and infrastructure protection.
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Head of Supply Chain → Governs logistics, inventory, and procurement systems.
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SAP Program Director → Leads the implementation and maintenance of ERP solutions.
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Head of Enterprise Data Science & AI → Guides the application of AI and data analytics initiatives.
Key Digital Transformation Initiatives at Marathon Petroleum (At a Glance)
- Deploying AI into refinery process monitoring and optimization systems.
- Building a cloud-based enterprise data platform for operational insights.
- Migrating SAP ERP systems to S/4HANA on Microsoft Azure.
- Modernizing cybersecurity infrastructure for critical industrial control systems.
- Implementing cloud-based inventory management applications across refineries.
- Transforming refinery units for increased renewable fuel production capacity.
Where Marathon Petroleum’s Digital Transformation Creates Sales Opportunities
| Vendor Type | Where to Sell (DT Initiative + Challenge) | Buyer / Owner | Solution Approach |
|---|---|---|---|
| Industrial AI/ML Observability Platforms | Deploying AI into refinery process monitoring: AI models produce irrelevant alerts for operational events | VP, Refining Operations, Head of Enterprise Data Science & AI | Filters AI-generated alerts based on historical operational context |
| Deploying AI into predictive maintenance systems: sensor data streams do not feed consistently into AI models | Head of Enterprise Data Science & AI, Maintenance Manager | Monitors data pipeline integrity for industrial sensor inputs | |
| Deploying AI into refinery process monitoring: AI system recommendations conflict with established safety protocols | VP, Refining Operations, Process Safety Engineer | Enforces safety parameters within AI model output for process control | |
| Data Governance & Integration Platforms | Building a cloud-based enterprise data platform: disparate data sources resist uniform data modeling | Chief Digital Officer, Head of Enterprise Data | Standardizes data schema across various operational systems |
| Building a cloud-based enterprise data platform: data ownership definitions block data access for analytics teams | Chief Digital Officer, Head of Enterprise Data | Manages data access permissions and data sharing policies | |
| Building a cloud-based enterprise data platform: data quality rules break during large-scale data ingestion events | Head of Enterprise Data, Data Architect | Validates incoming data against predefined quality benchmarks | |
| ERP Data Migration & Validation Tools | Migrating SAP ERP systems to S/4HANA: master data from legacy systems creates duplication in S/4HANA | SAP Program Director, Head of Finance | Deduplicates master data records before final ERP system integration |
| Migrating SAP ERP systems to S/4HANA: financial transaction codes do not map correctly between old and new ERP | Head of Finance, SAP Program Director | Reconciles financial mappings between legacy and modern ERP structures | |
| Migrating SAP ERP systems to S/4HANA: customized reports fail to execute post-migration due to data structure changes | SAP Program Director, IT Operations Manager | Adapts report queries to align with updated S/4HANA data schemas | |
| Operational Technology (OT) Cybersecurity Solutions | Modernizing cybersecurity infrastructure for ICS: anomalous network traffic indicates potential threat on process networks | CISO, ICS Security Manager | Detects unusual communication patterns within OT environments |
| Modernizing cybersecurity infrastructure for ICS: security patches create conflicts with critical production systems | ICS Security Manager, IT Operations Manager | Tests security updates in isolated environments before production deployment | |
| Modernizing cybersecurity infrastructure for ICS: compliance reporting for industrial regulations requires manual data extraction | CISO, Compliance Officer | Automates data collection for regulatory audits across OT systems | |
| Supply Chain Control Tower Solutions | Implementing cloud-based inventory management: discrepancies emerge between physical inventory and system records | Head of Supply Chain, Inventory Manager | Reconciles inventory data across physical locations and digital platforms |
| Implementing cloud-based inventory management: transport optimization plans fail to update with real-time demand shifts | Logistics Director, Supply Chain Planner | Integrates real-time demand signals into supply chain planning algorithms | |
| Implementing cloud-based inventory management: freight tracking data does not synchronize with dispatch systems | Logistics Director, Operations Manager | Unifies freight location data with internal dispatch and routing systems | |
| Process Simulation & Digital Twin Platforms | Transforming refinery units for renewable fuels: new catalyst introduction destabilizes chemical reaction yields | VP, Refining Operations, Process Engineer | Models new chemical reactions to predict optimal operating conditions |
| Transforming refinery units for renewable fuels: equipment wear rates accelerate unexpectedly with new feedstocks | Maintenance Manager, Reliability Engineer | Simulates material stress to forecast equipment lifespan with new inputs | |
| Transforming refinery units for renewable fuels: environmental emission levels exceed limits during new product runs | Environmental Compliance Officer, Process Engineer | Predicts emissions impact of process modifications before implementation |
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What makes this Marathon Petroleum’s digital transformation unique
Marathon Petroleum’s digital transformation differs by deeply embedding technology into its highly complex industrial operations rather than solely focusing on business applications. They prioritize data contextualization and AI for real-time asset performance and predictive maintenance across 13 refineries and extensive midstream assets. This distinct approach creates critical dependencies on robust OT/IT convergence and precise system controls to manage safety and reliability at massive scale. Their strategy directly addresses operational integrity within a challenging physical environment.
Marathon Petroleum’s Digital Transformation: Operational Breakdown
DT Initiative 1: AI-driven Operational Optimization & Predictive Maintenance
What the company is doing
Marathon Petroleum deploys artificial intelligence models to monitor refinery processes in real-time, forecasting maintenance needs for pipelines and terminals. This involves processing large volumes of sensor data to predict equipment failures and optimize refining unit performance. The company aims to apply AI across its operations, including energy management and safety assurance.
Who owns this
- Chief Digital Officer
- VP, Refining Operations
- Head of Enterprise Data Science & AI
- Maintenance Manager
Where It Fails
- AI models generate false positive alerts for critical equipment issues in refineries.
- Predictive maintenance systems fail to ingest continuous sensor data from field assets.
- AI-driven optimization recommendations create conflicts with established operational safety limits.
- Data contextualization processes inaccurately link sensor readings to specific asset components.
Talk track
Noticed Marathon Petroleum is scaling AI-driven operational optimization across its refining network. Been looking at how some industrial teams are validating AI model outputs in real-time instead of relying on post-incident analysis, can share what’s working if useful.
DT Initiative 2: Cloud-Based Enterprise Data Platform
What the company is doing
Marathon Petroleum is building a unified enterprise data platform to centralize operational information, enabling data contextualization and advanced analytics. This initiative aims to create a data-centric operating model, providing accessibility to data for informed decision-making. The company focuses on structuring, owning, and connecting data effectively across its vast industrial operations.
Who owns this
- Chief Digital Officer
- Head of Enterprise Data Science & AI
- Data Architect
- Data Domain Owners
Where It Fails
- Diverse data sources resist uniform data modeling within the enterprise platform.
- Data ownership definitions block critical data access for analytics and reporting teams.
- Data quality rules break during large-scale ingestion from legacy operational systems.
- Enterprise data platform integrations fail to provide real-time updates for operational dashboards.
Talk track
Saw Marathon Petroleum is centralizing operational data on a new enterprise platform. Been looking at how some industrial companies are enforcing data ownership and quality rules upfront instead of fixing data issues downstream, happy to share what we’re seeing.
DT Initiative 3: ERP System Modernization (S/4HANA to Azure)
What the company is doing
Marathon Petroleum is undertaking "Project Unify" to migrate its fragmented SAP ERP landscape to a unified S/4HANA system hosted on Microsoft Azure. This initiative aims to standardize business processes and data, moving from multiple legacy ERPs to a single, integrated platform. The company seeks to enhance reporting functionality and improve overall visibility across financial and operational data.
Who owns this
- SAP Program Director
- Head of Finance
- IT Operations Manager
- Business Process Owner
Where It Fails
- Legacy master data records create duplicate entries during S/4HANA migration.
- Financial transaction codes do not map consistently across disparate ERP systems.
- Customized business reports break after migrating to new S/4HANA data structures.
- System integrations between S/4HANA and other platforms fail to synchronize data seamlessly.
Talk track
Looks like Marathon Petroleum is unifying its SAP ERP systems to S/4HANA on Azure. Been seeing teams validate master data consistency before migration instead of reconciling errors later, can share what’s working if useful.
DT Initiative 4: Enhanced Cybersecurity Infrastructure
What the company is doing
Marathon Petroleum actively modernizes its cybersecurity infrastructure, strengthening defense strategies and ensuring resilience of IT and operational technology (OT) environments. The company adopts layered security architectures and implements simulated phishing programs to protect against evolving threats. Their focus includes aligning IT security with broader business goals.
Who owns this
- CISO
- VP, Infrastructure
- Senior Cybersecurity Architect
- ICS Security Manager
Where It Fails
- Anomalous network traffic in industrial control systems indicates potential breaches.
- Security patches create conflicts with critical production systems during deployment.
- Compliance reporting for industrial regulations requires manual data extraction across OT systems.
- Endpoint detection agents fail to deploy consistently across all operational devices.
Talk track
Noticed Marathon Petroleum is modernizing its cybersecurity infrastructure for critical systems. Been looking at how some energy companies are isolating OT network anomalies instead of only focusing on IT threats, happy to share what we’re seeing.
Who Should Target Marathon Petroleum Right Now
This account is relevant for:
- Industrial AI/ML platforms for anomaly detection
- Enterprise data governance and quality platforms
- SAP S/4HANA migration and validation tools
- Operational Technology (OT) cybersecurity platforms
- Supply chain visibility and control tower solutions
- Process simulation and digital twin platforms
Not a fit for:
- Basic IT helpdesk software
- Generic marketing automation tools
- Small-scale project management applications
- Consumer-facing mobile application development
- Office productivity suites
When Marathon Petroleum Is Worth Prioritizing
Prioritize if:
- You sell tools for industrial AI model validation and alert contextualization.
- You sell platforms that enforce data quality and governance across diverse enterprise systems.
- You sell solutions for SAP S/4HANA master data deduplication and financial mapping.
- You sell specialized cybersecurity for industrial control systems and OT networks.
- You sell integrated solutions for real-time supply chain visibility and inventory reconciliation.
- You sell process simulation software to model complex refinery unit transformations.
Deprioritize if:
- Your solution does not address any of the breakdowns above.
- Your product is limited to basic functionality with no integration capabilities for complex industrial systems.
- Your offering is not built for multi-team or multi-system environments in a large enterprise.
Who Can Sell to Marathon Petroleum Right Now
Industrial AI/ML Observability Platforms
Augury - This company offers AI-powered machine health and performance solutions for industrial assets.
Why they are relevant: Marathon Petroleum’s AI models produce irrelevant alerts for operational events. Augury can help filter AI-generated alerts by providing more accurate machine diagnostics and contextual data, reducing false positives in their predictive maintenance systems.
C3 AI - This company provides an enterprise AI application platform for various industries, including energy.
Why they are relevant: Marathon Petroleum’s AI system recommendations conflict with established operational safety protocols. C3 AI can help enforce safety parameters within AI model output, ensuring AI-driven optimizations comply with stringent industrial safety standards.
Verantos - This company offers a platform for real-world evidence generation and validation using AI.
Why they are relevant: Sensor data streams do not feed consistently into Marathon Petroleum’s AI models for predictive maintenance. Verantos can monitor the integrity of industrial sensor data pipelines, ensuring reliable input for AI-driven predictive analytics.
Data Governance & Integration Platforms
Collibra - This company provides a data governance platform to help organizations understand and trust their data.
Why they are relevant: Marathon Petroleum’s disparate data sources resist uniform data modeling within their enterprise data platform. Collibra can standardize data schema across various operational systems, improving data consistency and reliability for analytics.
Informatica - This company offers enterprise cloud data management and data integration solutions.
Why they are relevant: Data ownership definitions block data access for analytics teams within Marathon Petroleum. Informatica can manage data access permissions and data sharing policies, allowing secure and controlled data sharing across different departments.
Talend - This company provides data integration and data integrity solutions.
Why they are relevant: Data quality rules break during large-scale data ingestion events into Marathon Petroleum’s cloud-based enterprise data platform. Talend can validate incoming data against predefined quality benchmarks, preventing inaccurate data from corrupting the system.
ERP Data Migration & Validation Tools
Syniti - This company specializes in enterprise data management and data migration solutions.
Why they are relevant: Marathon Petroleum’s legacy master data records create duplicate entries during S/4HANA migration. Syniti can deduplicate master data records before final ERP system integration, ensuring a clean and accurate dataset post-migration.
BlackLine - This company offers solutions for financial close automation and intercompany accounting.
Why they are relevant: Financial transaction codes do not map consistently across disparate ERP systems at Marathon Petroleum. BlackLine can reconcile financial mappings between legacy and modern ERP structures, reducing manual effort in financial reporting.
Workday Adaptive Planning - This company provides cloud-based software for financial planning, budgeting, and forecasting.
Why they are relevant: Customized business reports break after migrating to new S/4HANA data structures at Marathon Petroleum. Workday Adaptive Planning can adapt report queries to align with updated S/4HANA data schemas, maintaining reporting continuity and accuracy.
Operational Technology (OT) Cybersecurity Solutions
Claroty - This company offers industrial cybersecurity solutions for protecting OT environments.
Why they are relevant: Anomalous network traffic in Marathon Petroleum’s industrial control systems indicates potential breaches. Claroty can detect unusual communication patterns within OT environments, providing early warnings of cyber threats.
Dragos - This company provides industrial cybersecurity solutions for threat detection and response.
Why they are relevant: Security patches create conflicts with critical production systems during deployment at Marathon Petroleum. Dragos can help test security updates in isolated environments before production deployment, preventing operational disruptions.
Nozomi Networks - This company delivers OT and IoT security and visibility solutions.
Why they are relevant: Compliance reporting for industrial regulations requires manual data extraction across Marathon Petroleum’s OT systems. Nozomi Networks can automate data collection for regulatory audits across OT systems, streamlining compliance processes.
Final Take
Marathon Petroleum actively scales complex industrial operations by embedding AI, modernizing ERP systems, and leveraging cloud-based data platforms. Breakdowns are visible in data consistency, AI model accuracy, and the integration of new technologies across their extensive network. This account is a strong fit for solutions that enforce data integrity, validate AI outputs, secure OT environments, and optimize intricate supply chain logistics within large-scale industrial settings.
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