Senior Refining Reliability & Predictive Analytics Lead

Marathon Petroleum Corporation; El Paso (TX); On-site; USD 163,000 - 244,000; Full time

Benefits offered by this job

Health, vision, and dental insurance

Paid time off

401k matching program

Paid parental leave

Educational reimbursement

Job summary

Marathon Petroleum Company LP is seeking a Corporate Reliability Specialist to drive reliability across refining assets. You will work with Asset Health Monitoring and site teams to develop predictive strategies and ensure data integrity across digital platforms.

The role demands 10+ years in reliability, strong analytics, and the ability to mentor engineers while contributing to standards and major reliability initiatives.

Qualifications

• 10+ years of experience in reliability or asset health engineering.
• Bachelor's degree preferred; HS diploma acceptable with experience.
• Proficient in reliability tools and data analytics for predictive maintenance.

Responsibilities

• Drive reduction of LCIP/LPO across the Refining system.
• Serve as key contact for programmatic reliability efforts.
• Collaborate with AHM, Equipment Specialists, and site teams to develop failure-prediction strategies.
• Curate insights from AHM and drive site resolutions.
• Support development of new tools and instrumentation needs.
• Work with IT & AHM to ensure data accuracy across platforms.
• Apply FMEA, RCA, RBD, Weibull, Crow-AMSAA and other methods for prediction.
• Provide troubleshooting on equipment design, operation, and maintenance.

Skills

Reliability engineering

Data analysis

Predictive maintenance

FMEA

RCA

Weibull analysis

Education

Bachelor's degree preferred

High School Diploma or GED required

Tools

Asset Health Monitoring tools

IT & AHM data platforms

Instrumentation/measurement planning

Job description

Marathon Petroleum Company LP is seeking a Corporate Reliability Specialist to drive reliability across refining assets. You will work with Asset Health Monitoring and site teams to develop predictive strategies and ensure data integrity across digital platforms.

The role demands 10+ years in reliability, strong analytics, and the ability to mentor engineers while contributing to standards and major reliability initiatives.