Reliability Leader
$110,000–$130,000 year
On-siteDe Witt, Iowa, United States
Job Summary
Lead and develop a multi-disciplinary maintenance organization for a 24/7 manufacturing facility, directing all preventive, predictive, corrective, and emergency maintenance activities. Ensure operations comply with safety requirements and regulatory standards while partnering with Operations and Engineering to align strategies with production objectives. Develop strategies to minimize downtime, manage maintenance budgets and contractors, and oversee planning, scheduling, and parts kitting to improve workforce efficiency. Establish and monitor KPIs using CMMS data, lead root cause analysis for complex failures, and implement continuous improvement initiatives across the global maintenance organization. Manage inventory costs and champion a culture of accountability, innovation, and team development within a fast-paced environment.
Required Qualifications
- 5+ years of maintenance management experience within a manufacturing, industrial, or other 24/7 operating environment
- Demonstrated experience leading and developing multi-shift maintenance teams
- Strong knowledge of preventive, predictive, corrective, and emergency maintenance methodologies
- Experience with CMMS systems, maintenance planning, scheduling, and parts kitting
- Experience managing maintenance budgets, contractors, vendors, and service providers
- Demonstrated ability to troubleshoot complex equipment issues and drive structured problem-solving and root cause analysis
- Strong leadership, communication, organizational, and decision-making skills
- Ability to work effectively in a fast-paced, 24/7 manufacturing environment
Desired Qualifications
- Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or a related technical field
- Certified Maintenance Manager (CMM) or Certified Maintenance & Reliability Professional (CMRP) certification
- Experience with Lean Manufacturing, Six Sigma, and continuous improvement methodologies
- Knowledge of Industry 4.0 technologies, including predictive maintenance, IoT-enabled sensors, condition monitoring, and data analytics
- Experience implementing data-driven reliability strategies and leveraging technology to improve asset performance
- Experience working in a large-scale manufacturing environment with complex automated equipment
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