Autonomous Fleet Health Maintenance Specialist

Freeport-McMoRan•Bagdad, AZ

5d•$85,000 - $116,500•Onsite

About The Position

At Freeport-McMoRan, 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. Apply Today! Where You Will Work 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 website to learn more. What You Will Do You play a critical role in ensuring safe, reliable, and efficient operation of autonomous equipment, monitoring fleet health in real time and coordinating proactive maintenance to support long‑term reliability. You will monitor real‑time and historical fleet health data, diagnose emerging mechanical, electrical, and autonomous control system issues, and prioritize maintenance actions based on system indicators and operational needs. You serve as a technical authority who advises operations, maintenance, OEM partners, and leadership on system performance and reliability strategy. You apply reliability-centered maintenance (RCM) and predictive maintenance methodologies to autonomous fleet assets. You are responsible for implementing maintenance planning, spare parts strategy, and lifecycle management decisions. Lead continuous improvement initiatives to reduce downtime, increase availability, and improve maintenance efficiency. Analyze autonomous fleet performance data to identify patterns, recurring faults, or system improvement opportunities. Document failures, corrective actions, and learnings for future reference. Analyze system-level performance trends to anticipate failure modes and proactively mitigate risk across the autonomous fleet. You lead diagnostics and root‑cause analysis, develop fleet health standards, define KPIs, and maintain documentation to guide improvements. You also mentor personnel, uphold safety and regulatory compliance, prepare reliability and system health reports, respond to safety‑critical alerts to ensure all autonomous equipment operates within required standards, and perform other duties as assigned. What You Bring To Freeport Bachelor’s degree in Data Science, Computer Science, Engineering or related field and 3 years combined experience in Mining, Autonomy, Reliability, Project Management, Data Analytics, Continuous Improvement and/or Data‑Driven Methodology

Requirements

Bachelor’s degree in Data Science, Computer Science, Engineering or related field and 3 years combined experience in Mining, Autonomy, Reliability, Project Management, Data Analytics, Continuous Improvement and/or Data‑Driven Methodology
Ability to interpret data from telematics platforms, dashboards, and OEM diagnostic tools
Excellent communication and problem‑solving skills
Experience working in technology, mining, industrial, or heavy equipment environment
Analytical thinking
Technical troubleshooting
Collaboration across teams
Adaptability in fast‑paced environments
Commitment to safety and operational excellence

Nice To Haves

Master’s degree in Data Science, Computer Science, Engineering or related field
Power BI
Experience with mobile maintenance and planning
Experience with autonomous haulage systems (AHS) such as Caterpillar Command, Komatsu AHS, or similar systems
Familiarity with asset health platforms such as MineStar Health, Komatsu VHMS, Wenco, or Hexagon
Background in reliability engineering or condition‑based monitoring
Certifications in Six Sigma, Project Management, or Failure Analysis
Advanced understanding of autonomous haulage systems
Strong grounding in heavy equipment systems
Familiarity with reliability and condition‑based monitoring principles
Awareness of mine safety regulations and autonomous equipment safety protocols

Responsibilities

Ensuring safe, reliable, and efficient operation of autonomous equipment
Monitoring fleet health in real time and coordinating proactive maintenance to support long‑term reliability
Monitoring real‑time and historical fleet health data
Diagnosing emerging mechanical, electrical, and autonomous control system issues
Prioritizing maintenance actions based on system indicators and operational needs
Serving as a technical authority who advises operations, maintenance, OEM partners, and leadership on system performance and reliability strategy
Applying reliability-centered maintenance (RCM) and predictive maintenance methodologies to autonomous fleet assets
Implementing maintenance planning, spare parts strategy, and lifecycle management decisions
Leading continuous improvement initiatives to reduce downtime, increase availability, and improve maintenance efficiency
Analyzing autonomous fleet performance data to identify patterns, recurring faults, or system improvement opportunities
Documenting failures, corrective actions, and learnings for future reference
Analyzing system-level performance trends to anticipate failure modes and proactively mitigate risk across the autonomous fleet
Leading diagnostics and root‑cause analysis
Developing fleet health standards
Defining KPIs
Maintaining documentation to guide improvements
Mentoring personnel
Upholding safety and regulatory compliance
Preparing reliability and system health reports
Responding to safety‑critical alerts to ensure all autonomous equipment operates within required standards
Performing other duties as assigned