Find & Apply For Maintenance / Service Supervisor Jobs In Wayne, North Carolina
Maintenance / Service Supervisor jobs in Wayne, North Carolina involve overseeing maintenance tasks, coordinating service schedules, and ensuring equipment functionality. Supervisors manage a team of technicians, prioritize work orders, and troubleshoot issues to ensure efficient operations. Strong leadership skills, technical knowledge, and problem-solving abilities are essential for success in this role. Below you can find different Maintenance / Service Supervisor positions in Wayne, North Carolina.
Jobs in Wayne
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Maintenance Manager
Gruma
Wayne, NC
Maintenance Supervisor
Zmc Hotels
Wayne, NC
Manager
Valvoline
Wayne, NC
Dual Chief of Maintenance
Hilton
Wayne, NC
Tray Pack Maintenance Supervisor (Evening Shift)
Butterball
Wayne, NC
IMT LEAD- Tray Pack Evening Shift
Butterball
Wayne, NC
Collision Center Manager
Doug Henry Buick Gmc
Wayne, NC
Latest Jobs in Wayne
Salary Information & Job Trends In this Region
Maintenance / Service Supervisors in Wayne, North Carolina oversee the maintenance and service operations within their respective organizations. - Entry-level Maintenance / Service Supervisor salaries range from $40,000 to $50,000 per year - Mid-career Maintenance / Service Supervisor salaries range from $50,000 to $65,000 per year - Senior-level Maintenance / Service Supervisor salaries range from $65,000 to $80,000 per year The role of Maintenance / Service Supervisor in Wayne, North Carolina has a long history of ensuring the smooth operation of facilities and equipment in various industries. Over time, the position of Maintenance / Service Supervisor has evolved to include more advanced technologies and methodologies to improve efficiency and effectiveness in maintenance operations. Current trends in the Maintenance / Service Supervisor role in Wayne, North Carolina include the implementation of predictive maintenance techniques, the use of data analytics for decision-making, and the integration of sustainability practices into maintenance operations.
