Judge Group, Inc.
Judge Group, Inc.

Autonomous Fleet Health Maintenance Lead

Phoenix, AZ, US • Posted 30+ days ago • Updated 5 hours ago
Contract Independent
On-site
USD $100,000.00 - 134,000.00 per year
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Job Details

Skills

  • Reliability Engineering
  • Mentorship
  • Workflow
  • Computer Networking
  • ROOT
  • Collaboration
  • Scheduling
  • KPI
  • Sensors
  • Documentation
  • Dashboard
  • Management
  • RCM
  • Python
  • R
  • SQL
  • Data Visualization
  • Tableau
  • Communication
  • Microsoft Power BI
  • Amazon Web Services
  • Data Analysis
  • Data Science
  • Computer Science
  • Fleet Management
  • IoT
  • Master Data Management
  • Artificial Intelligence
  • Reporting
  • Advanced Analytics
  • Machine Learning (ML)
  • Statistical Models
  • Predictive Analytics
  • Privacy
  • Marketing

Summary

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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Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1116621
  • Posted 30+ days ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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