Refinery Planning & Optimization Engineer

Marathon Petroleum Corporation; Detroit (MI); On-site; USD 123,000 - 212,000; Full time

Job summary

Marathon Petroleum Corporation is seeking a Planning & Optimization Advisor/Engineer to support regional and refinery planning and optimization activities. The role focuses on backcasting, optimization modeling, and LP submodel development to improve refinery performance.

The ideal candidate will have strong analytical skills, a passion for optimization, and the ability to translate data into actionable strategies across Operations, Commercial, and Logistics teams.

Qualifications

• Bachelor's degree in Engineering required; other fields may be considered with five (5) years of refinery planning, optimization, value chain, operations, commercial, logistics or related experience.
• Four (4) years of refinery planning, optimization, value chain analysis, operations, commercial, logistics, or related experience required.

Responsibilities

• Develops and optimizes short-term, mid-term, and lookback plans using LP models to maximize refinery performance.
• Manages refinery forecasting and planning activities, aligning with capabilities and market conditions.
• Maintains and enhances LP models by validating assumptions and improving accuracy.
• Identifies constraints and opportunities, developing optimization strategies for performance gains.
• Performs scenario and sensitivity analyses to evaluate market and operational impacts.
• Partners with Operations, Commercial, Logistics, and Planning teams to align plans across horizons.

Skills

Analytical Thinking

Building Partnerships

Business Acumen

Commodity Market Analysis

Decision Support Analytics

Stakeholder Engagement

Systems Thinking

Integrated Planning & Optimization

Data Analysis

Scenario Planning

Education

Bachelor's degree in Engineering

Job description

Marathon Petroleum Corporation is seeking a Planning & Optimization Advisor/Engineer to support regional and refinery planning and optimization activities. The role focuses on backcasting, optimization modeling, and LP submodel development to improve refinery performance.

The ideal candidate will have strong analytical skills, a passion for optimization, and the ability to translate data into actionable strategies across Operations, Commercial, and Logistics teams.