Machining Production Unit Manager | 3-Shift Leader

Paccar Inc.; Columbus (MS); In loco; USD 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

PACCAR Inc. in Columbus, Mississippi is seeking a Unit Manager - Machining Production to lead a large manufacturing area, drive safety, quality and efficiency, and coordinate maintenance activities across shifts.

The role requires strong leadership, data-driven problem solving, and the ability to manage multiple priorities in a fast-paced setting. You will oversee training, allocate work, monitor KPIs, and implement improvements (5S, PQI, DPU reductions) to optimize production uptime and output.

Competenze

• B.S. degree preferred.
• 3-5 years manufacturing maintenance experience in a team environment.
• 1-2 years maintenance supervisory experience in a manufacturing environment required.
• Six Sigma Black Belt or Green Belt trained preferred.
• Flexibility to work any shift required.
• Proficiency in MS Office; SAP and CMMS applications required.

Mansioni

• Direct team members of a large manufacturing area to attain the maximum product quality and customer satisfaction.
• Supports training, motivation and safety of High Performance Work Team members.
• Distributes work assignments to team members according to production objectives.
• Responsible for meeting daily production goals, including safety, quality, scrap, labor efficiency, housekeeping.
• Lead and participate in process improvement efforts and maintenance planning.

Conoscenze

Leadership

Problem solving

Verbal and written communication

Data analysis

Formazione

B.S. degree

Strumenti

SAP

CMMS

Microsoft Office

Descrizione del lavoro

PACCAR Inc. in Columbus, Mississippi is seeking a Unit Manager - Machining Production to lead a large manufacturing area, drive safety, quality and efficiency, and coordinate maintenance activities across shifts.

The role requires strong leadership, data-driven problem solving, and the ability to manage multiple priorities in a fast-paced setting. You will oversee training, allocate work, monitor KPIs, and implement improvements (5S, PQI, DPU reductions) to optimize production uptime and output.