Shift Supervisor - Plant Maintenance

Company Info
Genie Matthews & Associates
Murrells Inlet, SC, United States

Phone: 910.484.4101
Web Site:

Company Profile


Shift Supervisor - Plant Maintenance


Gastonia, NC 



Job ID:


Job Description:

Exciting opportunity to join a global manufacturing leader as the Maintenance Shift Supervisor.   As a part of the Maintenance Team, this off-shift role provides leadership for continuous improvement of equipment and production efficiency.  Requires a solid Engineering/ Technical background with prior shift supervisory experience in Plant Maintenance.



---Coordinate maintenance shift labor schedule and assign daily responsibilities to team members to ensure maximum equipment uptime to meeting production requirements.

---Oversee maintenance team members for maintenance issues and downtime communication during assigned shifts.

---Conduct daily shift start-up and safety tool box meetings to ensure safe and efficient maintenance operations.

---Maintain company standards for quality of work order data, processes, daily maintenance, and documentation.

---Manage daily equipment maintenance log; for all down equipment, equipment waiting on parts, and all non-critical issues on shift.

---Manage work priorities by evaluating plant needs and make critical decisions for equipment based on input from trades, operations, quality, or supply chain. 

---Provide information to operations group lead, team lead, and team members before, during, and after assigned shifts.

---Oversee inventory to identify and locate spare parts, order necessary parts, filling out proper requisitions, and determine stock and inventory requirements.

---Follow and uphold company Standard Operating Procedure for escalations, HR duties, and environmental health, safety, and quality policies/procedures. 



---BS Engineering degree with 5+ years as Maintenance Team Leader in manufacturing plants.

---Willing to work off-shift manufacturing schedule.

---Experience with CMMS software/ processes and preventive/ predictive maintenance programs.