Autonomous Fleet Health Maintenance Lead

At Freeport-Mc Mo Ran , we are committed to providing an employment package that recognizes excellence, encourages safe production and a culture supported by our core values. Here, you’ll find a collaborative environment where safety is a top priority, all opinions are valued, and people are empowered to grow in their career.
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Looking to live in a small town with big opportunities? Our Bagdad operations in Arizona offers housing at a subsidized rate, a family-friendly atmosphere and numerous amenities including an aquatic center, golf course and fitness center. Located 100 miles northwest of Phoenix, Bagdad is home to the world's first commercial - scale concentrate leach processing facility, as well as one of the longest continuously operating solvent extraction/electrowinning plants in the world.

Visit the Bagdad town websi te to learn more.

Work with a multidisciplinary team to determine maintenance practices for autonomous mining equipment by providing staff mentorship on industry best practices spanning processes, technology, and specifications. Collaborate to develop and implement standardized maintenance templates and reporting protocols. Ensure equipment reliability through predictive maintenance strategies and data-driven analytical methods that facilitate proactive work planning. Serve as a technical expert in maintenance and computerized systems, supporting machine health analysis and planning.

Lead projects with maintenance, operations, OEM experts, and reliability engineers to improve equipment reliability and run time through data analysis, root cause investigation, and rebuilds. Review maintenance documentation for equipment, on-board technology, office software, and networking to identify potential and existing problems. Identify root causes and coordinate actions to prevent production and maintenance issues. Collaborate with planners and operations on critical maintenance activities, establish KPIs for autonomous equipment, and analyze data for health indicators.

Perform other duties as assigned.

• Bachelor’s Degree in Data Science, Computer Science, Engineering or related field and five (5) years of mining experience; OR
• Master’s degree in Data Science, Computer Science, Engineering or related field and three (3) years related experience in Engineering; OR
• High school diploma/GED and seven (7) years of experience in data analytics within mining, heavy industry, or autonomous systems
• Ability to interpret large datasets from mobile mining equipment (telemetry, sensor data, maintenance logs)
• Ability to produce clear documentation, reports, and dashboards aligned with operational goals
• Experience managing multiple tasks and priorities in a fast-paced, safety-critical environment
• Familiarity with Reliability Centered Maintenance (RCM) principles
• Proficiency in data analysis tools and languages such as Python, R, SQL, and visualization platforms like Power BI or Tableau
• Effective written and verbal communication skills
• Mine Operations Fundamentals
• Power BI Data Analyst Associate
• AWS Certified Data Analytics

• Bachelor’s Degree in Data Science or Computer Science
• Experience with autonomous haulage systems (AHS), fleet management systems, or industrial IoT platforms
• Experience with mobile maintenance and planning
• Experience with CAT Mine Star applications and autonomous mining systems
• Certifications in Master Data Management
• Experience with AI applications, automated reporting, and advanced analytics
• Strong understanding of machine learning concepts, statistical modeling, and predictive analytics
• Ability to lead cross-functional projects involving operations, maintenance, and technology teams

The estimated annual pay range for this role is currently $95,500-$134,000. This range reflects base salary only and does not include bonus payments, benefits or retirement contributions. Actual base pay is determined by experience, qualifications, skills and other job-related factors. This role is eligible for additional discretionary and incentive payment considerations based on company and individual…