At Sigma Jobs in Raleigh, NC (NOW HIRING)

Eaton's Critical Power Solutions (CPS) division is seeking a Senior Continuous Improvement Engineer for our Raleigh, NC facility. The primary function of this role is to support the continuous improvement of manufacturing processes and methods for our configure-to-order (CTO) product lines (3PH UPS). This position drives operational excellence through the application of Lean Manufacturing, Six Sigma, and Eaton Business System (EBS) principles while leveraging digital tools and manufacturing technologies to improve performance, visibility, and process sustainability.

The successful candidate will lead improvement initiatives focused on safety, quality, delivery, inventory, productivity, and cost. In addition, this role will utilize manufacturing data, real-time performance monitoring, and digital technologies to identify opportunities, validate improvements, and sustain results. The expected annual salary range for this role is $86,000 - $126,000 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. What you'll do: Continuous Improvement Culture & Strategy: Champion a culture of Continuous Improvement through leadership, coaching, and application of Lean, Six Sigma, EBS, and Operational Excellence principles.

Support change management efforts required to implement sustainable process improvements and drive Lean culture deployment in alignment with ECIS. Provide training, coaching, and mentoring to employees at all levels to strengthen Continuous Improvement capabilities. Lead and support employee engagement and governance activities including CI Council, RIE reviews, EBS Pull activities, and OpA assessments.

Ensure all Continuous Improvement activities comply with Eaton's MESH requirements and support safety, compliance, sustainability, and special project objectives. Lean Deployment & Operational Excellence: Lead Value Stream Mapping activities to identify and prioritize improvement opportunities aligned with business objectives. Lead and Facilitate Rapid Improvement Events (RIEs), Kaizen activities, and cross-functional improvement projects.

Support implementation and sustainment of Continuous Improvement tools including 5S+, TPM, Standardized Work, Error Proofing, Lean Material Flow, Setup Reduction, Problem Solving, Six Sigma, BPI and 3P. Develop and execute improvement plans that improve safety, quality, delivery, inventory, productivity, and overall operational performance. Create, justify, and support improvement projects involving processes, equipment, tooling, systems, and technologies.

Data-Driven Improvement & Digital Manufacturing: Leverage Industrial IoT (IIoT), manufacturing data, and analytics to identify improvement opportunities, eliminate waste, and sustain operational gains. Develop and maintain dashboards, KPI reporting, and visual management tools using SQL, Power BI, and other business intelligence platforms to provide real-time visibility into operational performance. Analyze manufacturing, quality, and material flow data to support decision-making, root cause analysis, and Continuous Improvement initiatives.

Drive implementation of digital solutions that enhance Lean practices, including e-Andon systems, real-time performance monitoring, and automated reporting. Support integration of manufacturing and business systems, including SAP, Enovia, PCaT, Ignition, PLC-connected equipment, and other enterprise applications, to enable a connected and data-driven manufacturing environment. Qualifications: Basic Qualifications: Bachelor's degree in Industrial Engineering, Industrial Technology, Manufacturing Engineering, Automation Engineering, or a related technical field from an accredited institution.

Minimum 3 years of experience in a manufacturing environment. Minimum 2 years of hands-on experience in the following: Applying Lean Manufacturing and/or Six Sigma methodologies, including Value Stream Mapping, Standardized Work, Problem Solving, Kaizen, Visual Management, 5S, and Material Flow improvements. Demonstrated success leading Continuous Improvement initiatives that deliver measurable results in safety, quality, delivery, productivity, inventory, or cost performance.

Experience facilitating cross-functional teams and driving sustainable process improvements through data-driven decision making. Experience utilizing manufacturing performance metrics, data analytics, and KPI management to identify opportunities and validate improvement results. Experience developing reports, dashboards, or data visualizations using SQL, Power BI, or similar analytics tools.

Eaton will not consider applicants outside of the 50-mile radius of Raleigh, NC. Eaton will not consider applicants for employment immigration sponsorship or support for this position. Preferred Qualifications: Experience with Industrial IoT (IIoT), connected manufacturing, or Smart Factory initiatives.

Experience implementing digital solutions that support Lean Manufacturing, including e-Andon systems, RFIDs for Lean material flow, real-time performance monitoring, digital visual management, and automated KPI reporting. Experience with manufacturing systems and platforms such as SAP, Enovia, PCaT, Ignition, MES, or SCADA systems. Experience collecting, transporting, and contextualizing manufacturing data using OPC, Kepware, MQTT, or related industrial communication technologies.

Experience working with PLC-controlled equipment, including troubleshooting and modifying ladder logic for data collection, process improvements, and system integration. Experience developing applications, services, or automation solutions using python, C#, .NET, scripting languages, or similar technologies. Experience with cloud-based manufacturing data architectures such as Microsoft Azure Services

Experience applying automation and digital technologies to improve material flow, productivity, process stability, and operational performance. Proficiency with Microsoft Office applications. Lean Six Sigma Green Belt, Black Belt, or equivalent certification preferred.

All positions may require participation in video and in-person interviews as part of the hiring process. All candidates will be evaluated based on job-related competencies, and all candidates' privacy rights and data security will be protected in accordance with applicable laws. We are committed to ensuring equal employment opportunities for all job applicants and employees.

Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need.

Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work.

Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. #LI-NG1.