Manufacturing Engineering Manager - Lean & Automation Leader

Eaton

Royal Pines (NC)

On-site

USD 113,000 - 165,000

Full time

6 hours ago

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Job summary

Eaton's ES AMER ARS PDCAD division in Arden, NC is seeking a Manufacturing Engineering Manager to lead engineering, operations, and continuous improvement initiatives at the plant. This role oversees Manufacturing Engineers and Technicians, aligning processes with safety, quality, delivery, and cost goals while driving digital manufacturing integration.

The ideal candidate has a strong background in manufacturing engineering leadership, experience with CAPEX planning, PROLaunch, MAPICS, and

Qualifications

Bachelor's degree in Engineering or a related technical discipline from an accredited institution required.
Minimum of five (5) years of experience in Manufacturing Engineering, Industrial Engineering, Process Engineering, or related technical leadership roles within a manufacturing environment.
No relocation is offered. Candidates must currently reside within a 75-mile radius of Arden, NC to be considered. Active-Duty Military are exempt from this geographical limitation.
Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc.

Responsibilities

Lead the strategic direction and daily execution of the Manufacturing Engineering function to support safety, quality, delivery, cost, and growth objectives while aligning engineering activities to business strategy.
Lead, develop, coach, and evaluate Manufacturing Engineers, Manufacturing Engineering Technicians, and Business Process Improvement resources to achieve departmental goals, build technical competency, and support succession planning.
Develop, implement, standardize, and continuously improve manufacturing processes, labor standards, tooling, equipment, and production methods to ensure safe, efficient, and cost-effective operations.
Serve as the manufacturing engineering owner for process capability, capacity planning, productivity improvement, and operational readiness, ensuring manufacturing processes meet current and future business requirements.
Lead continuous improvement initiatives utilizing Eaton Business System (EBS) methodologies to improve safety, quality, delivery, inventory, productivity, and cost performance.
Provide engineering leadership for capital investments, automation projects, equipment acquisitions, facility modifications, and other strategic initiatives, including development and execution of Capital Appropriation Requests (CARs).
Participate in and support new product introductions, product transfers, and engineering change initiatives through Eaton's PROLaunch process to ensure successful implementation into manufacturing operations.
Ensure effective integration, governance, and continuous improvement of manufacturing business systems including MAPICS, Ignition, bills of material, routings, work instructions, product costing, and related manufacturing data.
Lead cross-functional problem-solving activities, root cause investigations, risk reduction efforts, and corrective action implementation utilizing structured methodologies such as A3, DMAIC, 8D, and PFMEA.
Foster a culture of collaboration, accountability, innovation, knowledge sharing, and transferable practices across Operations, Quality, Materials, Product Engineering, Supply Chain, and other functional teams.
Establish and maintain engineering governance processes including PFMEA reviews, Management of Change (MOC), process audits, standard work compliance, lessons learned deployment, and manufacturing risk mitigation activities.
Support the development of manufacturing analytics, digital manufacturing capabilities, and data-driven solutions by leveraging ERP, MES, machine connectivity, and operational systems. Direct resources to identify improvement opportunities, support root cause analysis, develop actionable insights, and accelerate continuous improvement through data driven decision making.