Maintenance Manager

Oshkosh•Appleton, WI

About The Position

The Maintenance Manager will be a results-driven leader responsible for maximizing equipment reliability and operational performance across a highly automated manufacturing environment. This role requires deep expertise in predictive and reliability-centered maintenance, leveraging data analytics, CMMS/EAM systems, and IIoT technologies to proactively identify and prevent equipment failures. The ideal candidate will drive improvements in Overall Equipment Effectiveness (OEE) by optimizing maintenance strategies for robotics, automated production lines, and critical assets, while leading cross-functional initiatives focused on uptime, throughput, and cost efficiency. With a strong foundation in controls, automation, and project management, this leader will champion continuous improvement, standardization, and digital maintenance practices to support a world-class manufacturing operation.

Requirements

Bachelor’s degree in engineering or a related field, or equivalent experience
5+ years of maintenance experience in a manufacturing environment
Prior experience as a Maintenance Manager, Repair Manager, or similar leadership role
Demonstrated experience managing budgets, schedules, and maintenance reporting
Strong knowledge of manufacturing equipment and machinery

Nice To Haves

Maintenance certifications (e.g., CMRP, CMM)
Experience with Lean Manufacturing principles, TPM (Total Productive Maintenance), and project management tools (e.g., MS Project, Primavera)
Proven ability to develop and manage critical spare parts inventory strategies, including MRO optimization and vendor partnerships
Hands-on experience with advanced equipment, including AGVs/AMRs, robotic welding systems, CNC machines, PLC-controlled automated production lines, and material handling systems
Broad technical expertise across mechanical, electrical, hydraulics, pneumatics, plumbing, and HVAC systems
Strong ability to read and interpret electrical schematics, P&IDs, blueprints, ladder logic diagrams, and OEM technical documentation
Experience with Industry 4.0 technologies, including IIoT sensors, SCADA systems, MES integration, and digital factory initiatives
Working knowledge of PLC programming/troubleshooting (Allen-Bradley, Siemens), HMI systems, VFDs, and industrial networks (EtherNet/IP, Profinet)
Experience supporting heavy metal fabrication processes (e.g., stamping, laser cutting, welding, forming, paint systems) and high-volume assembly operations
Familiarity with robotics maintenance (FANUC, ABB, KUKA) including teach pendant operations and fault diagnostics
Strong understanding of safety standards (OSHA, NFPA 70E, LOTO procedures) in automated industrial environments

Responsibilities

Drive the seamless operation of facility equipment and infrastructure through effective maintenance strategies and execution
Ensure full compliance with safety standards and regulatory requirements across all maintenance activities
Continuously evaluate and adopt innovative processes, technologies, and best practices to enhance maintenance performance
Lead and develop the maintenance team through clear delegation, strong relationships, and cross-functional collaboration
Prepare and communicate reports to stakeholders on budgets, timelines, and project progress
Manage maintenance budgets and ensure alignment with operational, safety, and compliance standards
Foster a culture of urgency, accountability, organization, and high-quality work across the team
Develop and implement predictive maintenance (PdM) programs using condition monitoring techniques such as vibration analysis, thermography, oil analysis, and ultrasonic testing
Leverage CMMS/EAM systems (e.g., SAP PM, Maximo) to track asset performance, failure modes, and maintenance KPIs (MTBF, MTTR, OEE)
Utilize data analytics and IIoT platforms to enable real-time equipment health monitoring and early fault detection
Establish failure modes and effects analysis (FMEA) and reliability-centered maintenance (RCM) strategies for critical assets
Design and deploy sensor-based monitoring systems for automated lines to reduce unplanned downtime
Collaborate with engineering and operations teams to optimize maintenance strategies for robotics and automated systems
Drive continuous improvement initiatives through root cause analysis (RCA) and Kaizen events focused on reliability enhancement
Develop standard maintenance procedures and digital work instructions for complex automated systems
Support implementation of smart maintenance dashboards and predictive algorithms for proactive decision-making