Autonomous Fleet Health Maintenance Lead

Location: Phoenix, AZ
Salary: $100,000.00 USD Annually - $134,000.00 USD Annually
Description: Our client is currently seeking a Autonomous Fleet Health Maintenance Lead

Job Overview
In this role, you will support maintenance practices for autonomous mining equipment by guiding teams, developing standardized processes, and using data-driven methods to improve equipment reliability. You will work closely with maintenance, operations, OEM partners, and reliability engineering teams to analyze data, investigate root causes, and enhance equipment performance.

Responsibilities

• Work with a multidisciplinary team to define and improve maintenance practices for autonomous mining equipment.
• Provide mentorship on maintenance processes, technology, and specifications.
• Develop and implement standardized maintenance templates, workflows, and reporting protocols.
• Use predictive maintenance strategies and data analytics to support proactive work planning and equipment reliability.
• Serve as a technical expert in maintenance systems and computerized tools to support machine health analysis.
• Lead cross-functional projects to improve equipment uptime through data analysis, root cause investigations, and rebuild planning.
• Review maintenance documentation related to equipment, on-board systems, office software, and networking to identify issues.
• Identify root causes of maintenance or production problems and coordinate corrective actions.
• Collaborate with planners and operations on critical maintenance activities and scheduling.
• Establish key performance indicators (KPIs) for autonomous equipment and monitor health indicators through data analysis.
• Perform additional duties as assigned.

Minimum Qualifications

• Bachelor's degree in Data Science, Computer Science, Engineering, or related field and 5 years of mining experience; or
• Master's degree in Data Science, Computer Science, Engineering, or related field and 3 years of related engineering experience; or
• High school diploma/GED and 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 create clear documentation, reports, and dashboards aligned with operational goals.
• Experience managing multiple priorities in a fast-paced, safety-critical environment.
• Familiarity with Reliability Centered Maintenance (RCM) principles.
• Proficiency with Python, R, SQL, and data visualization tools such as Power BI or Tableau.
• Strong written and verbal communication skills.
• Foundational knowledge of mine operations.
• Power BI Data Analyst Associate certification.
• AWS Certified Data Analytics certification.

Preferred Qualifications

• 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 MineStar applications and autonomous mining technologies.
• Certifications in Master Data Management.
• Experience with AI applications, automated reporting, and advanced analytics.
• Strong understanding of machine learning, statistical modeling, and predictive analytics.
• Ability to lead cross-functional projects involving operations, maintenance, and technology teams.

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