Data Center Ops & Manufacturing Leader

Eaton Corporation

Woodridge (IL)

On-site

USD 97,000 - 143,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Eaton is seeking an Operations & Engineering Manager for its Data Center Solutions division in Woodridge, IL. You will lead operations, manufacturing engineering, and test engineering to enable safe, on-time, high-quality CTO data center assemblies and tests.

The role combines startup-site leadership with manufacturing engineering to grow Eaton's data center business. You will partner with Product Engineering, Quality, Supply Chain, and Program Management to improve manufacturability, drive

Qualifications

Bachelor's degree from an accredited institution.
Minimum of five (5) years of experience in manufacturing engineering or operations.
Minimum of two (2) years of experience leading teams, projects, or cross-functional initiatives.

Responsibilities

Lead operations, manufacturing engineering, and test engineering activities to ensure safe, high-quality, and on-time assembly and testing of configure-to-order data center products.
Develop and execute the site's manufacturing and engineering strategy, establishing scalable assembly processes, test methods, production infrastructure, and operational roadmaps that support business growth.
Manage and develop manufacturing engineering, test engineering, and production teams by providing technical leadership, coaching, talent development, and accountability for business results.
Establish and sustain standard work, routings, test procedures, process controls, visual management systems, and leader standard work to drive operational excellence and repeatable execution.
Partner with Product Engineering, Quality, Supply Chain, and Program Management teams to support new product introductions, improve manufacturability and testability, and ensure production readiness.
Lead continuous improvement, cost-out, and productivity initiatives utilizing Lean Manufacturing, value stream mapping, structured problem-solving, and data-driven decision making.
Drive execution of capital equipment, automation, facility expansion, manufacturing technology, and test infrastructure projects that improve safety, quality, throughput, and long-term operational capability.
Own operational performance through deployment of key performance indicators including safety, quality, first-pass yield, productivity, on-time delivery, inventory, and cost, while fostering a culture of accountability, continuous improvement, and employee engagement.