Value Chain Model & Optimization Advisor/Engineer
Marathon Petroleum CorporationAn 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
Do you have a strong technical background? Do you like building tools and data pipelines that power complex business decisions? Marathon Petroleum Company LP (MPC)
...
has an opening within the Value Chain Optimization organization on the Value Chain Insights team. Our mission is to power confident decisions across the value chain — building the trusted tools and data foundations that drive enterprise optimization and delivering the cutting-edge analytics and insights that increase trust and confidence in our reporting and reducing barriers to timely, actionable insight.
This role sits in the Model Interpretation vertical and is an individual contributor responsible for designing, building, and supporting enterprise optimization model case input tools that support Marathon's routine planning and optimization models across the value chain. Case input tools are applications that assemble, validate, and format the data required to run Marathon's Aspen PIMS and Aspen Petroleum Supply Chain Planner (PSCP) models for the full planning cycle, post-audits, and enterprise-wide optimization. This role requires expert-level Excel VBA development, strong SQL and data-pipeline skills, and a disciplined approach to building standardized, robust, low-maintenance solutions. Success depends on the ability to turn inconsistent or manual case-build processes into reliable, repeatable tooling; to partner closely with regional planning teams; and to bring engineering rigor, creative problem-solving, and attention to detail to every deliverable. This position has exposure and impact on other workstreams within the Model Interpretation team that include AI-assisted analytics and business intelligence platforms.
This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.
Key Responsibilities
• Demonstrates advanced expertise in enterprise optimization models and translates complex model structures, assumptions, and outputs into practical business guidance and scalable solutions.
• Designs and delivers model-related capabilities, including analysis tools, standardized model components, documentation, and AI-assisted solutions that improve consistency, understanding, and adoption.
• Independently analyzes model performance, sensitivities, assumptions, and exceptions across multiple assets, planning horizons, or functional areas, resolving complex and ambiguous issues.
• Partners with modeling, planning, scheduling, and platform teams to validate assumptions, constraints, configurations, and outputs against operational realities while supporting model deployment, change events, and governance activities.
• Leads development, harmonization, and sustainment of model standards, methodologies, definitions, and supporting capabilities to improve consistency, comparability, and scalability across the enterprise.
• Establishes and maintains documentation, training materials, and support processes that enable consistent adoption and sustained capability utilization.
• Serves as a trusted advisor between modeling teams, business users, and governance stakeholders, creating feedback mechanisms that continuously improve model quality, usability, and business value.
• Leads projects and improvement initiatives with moderate complexity and resource requirements while mentoring less experienced team members.
Minimum Qualifications
• Bachelor's degree in Engineering required. A Bachelor's degree in another field may be considered with five (5) years of planning, optimization, simulation, mathematical modeling, analytics, decision-support systems, or closely related experience required.
• Fo