Maintenance Planner
$100,800–$100,800 year
HybridPac, Trnava, Slovak Republic
Pac, Trnava, Slovak RepublicHybridFull Time$100,800–$100,800 yearSenior LevelMedium
Full TimeSenior LevelMedium
Job Summary
Implement a Computerized Maintenance Management System (Maximo) by creating a digitized equipment inventory, developing preventive maintenance schedules, and integrating sensors for predictive monitoring. Diagnose root causes of equipment failures, oversee the full lifecycle of maintenance work, and manage external vendors to ensure compliance with safety standards. Analyze performance data to maximize uptime, manage departmental budgets, and perform post-mortem analyses to prevent recurrence. Track key performance indicators like MTBF and MTTR, apply Lean tools to optimize efficiency, and train technicians on best practices.
Required Qualifications
- A Bachelor's degree in Mechanical, Electrical, or Industrial Engineering
- Equivalent technical experience with a relevant trade certification
- Minimum of 5-7 years of experience in industrial maintenance planning, scheduling, or reliability engineering
- Proven experience leading the successful implementation, configuration, or major asset-mapping overhaul of a CMMS/EAM system (specifically IBM Maximo)
- Deep expertise in developing asset hierarchies, establishing unique ID structures, and conducting criticality assessments for automotive/heavy manufacturing equipment (conveyors, bonding, HVAC, robotics)
- Strong hands-on experience designing Preventive Maintenance (PM) programs and deploying Predictive Maintenance (PdM) technologies (e.g., vibration analysis, thermal imaging, sensor integration)
- Demonstrated ability to establish Maintenance, Repair, and Operations spare parts warehouse strategies, including calculating min/max levels and economic order quantities
- Experience managing civil site utilities, wastewater treatment plants, and facility infrastructure
- Mastery of maintenance KPIs (MTBF, MTTR, PM Compliance) and Root Cause Analysis (RCA) methodologies
- Thorough knowledge of OSHA regulations, Lockout/Tagout (LOTO) protocols, and environmental compliance (waste and emissions)
- Experience applying Lean Manufacturing principles, 5S, or Six Sigma tools to optimize assembly line efficiency
- Minimum of 5-7 years of experience in industrial maintenance planning, scheduling, or reliability engineering
- Proven experience leading the successful implementation, configuration, or major asset-mapping overhaul of a CMMS/EAM system (specifically IBM Maximo)
- Deep expertise in developing asset hierarchies, establishing unique ID structures, and conducting criticality assessments for automotive/heavy manufacturing equipment (conveyors, bonding, HVAC, robotics)
- Strong hands-on experience designing Preventive Maintenance (PM) programs and deploying Predictive Maintenance (PdM) technologies (e.g., vibration analysis, thermal imaging, sensor integration)
- Demonstrated ability to establish Maintenance, Repair, and Operations spare parts warehouse strategies, including calculating min/max levels and economic order quantities
- Experience managing civil site utilities, wastewater treatment plants, and facility infrastructure
- Mastery of maintenance KPIs (MTBF, MTTR, PM Compliance) and Root Cause Analysis (RCA) methodologies
- Thorough knowledge of OSHA regulations, Lockout/Tagout (LOTO) protocols, and environmental compliance (waste and emissions)
- Experience applying Lean Manufacturing principles, 5S, or Six Sigma tools to optimize assembly line efficiency
- 3 weeks onsite/1 week remote
- will pay for travels to Warsaw
Desired Qualifications
- Equivalent technical experience with a relevant trade certification may be considered
- Certified Maintenance & Reliability Professional (CMRP) or Certified Maintenance & Reliability Technician (CMRT) designation
- IBM Maximo Certified Deployment Professional or advanced Maximo super-user certification
- Experience in high-volume, fast-paced manufacturing environments (e.g., automotive, aerospace, or advanced fulfillment centers) experiencing rapid scaling or product launches
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