Refining Reliability Lead – Predictive Asset Health

Marathon Petroleum Corporation; Anacortes (WA); On-site; USD 163,000 - 244,000; Full time

Benefits offered by this job

Health, vision & dental insurance

Paid time off

401k matching

Paid parental leave

Educational reimbursement

Job summary

Marathon Petroleum Corporation is seeking a Corporate Reliability Specialist to help ensure refinery asset reliability through advanced data analysis and reliability engineering. You will work with Asset Health Monitoring, Equipment Specialists, and site teams to predict failures and drive improvements across multiple locations.

The role emphasizes traditional reliability tools (FMEA, RCA, Weibull, Crow-AMSAA) and new digital tools, with an emphasis on data quality, tooling development, and

Qualifications

• Ten (10) years or more of experience required.
• Bachelor's Degree preferred; high school diploma or GED required.

Responsibilities

• Drive reduction of LCIP/LPO across the Refining system.
• Serve as the key point of contact for programmatic strategic reliability efforts.
• Collaborate with Asset Health Monitoring to develop and implement failure prediction strategies for high‑impact assets.
• Curate insights from AHM and collaborate with sites to drive resolution.
• Assist AHM in developing new tools and identifying instrumentation needs.
• Collaborate with IT & AHM to ensure data accuracy and integrity across platforms.

Skills

Reliability engineering

Data analysis

FMEA

RCA

RBD

Weibull analysis

Crow-AMSAA

Education

High School Diploma or GED

Bachelor's Degree preferred

Job description

Marathon Petroleum Corporation is seeking a Corporate Reliability Specialist to help ensure refinery asset reliability through advanced data analysis and reliability engineering. You will work with Asset Health Monitoring, Equipment Specialists, and site teams to predict failures and drive improvements across multiple locations.

The role emphasizes traditional reliability tools (FMEA, RCA, Weibull, Crow-AMSAA) and new digital tools, with an emphasis on data quality, tooling development, and