Manufacturing Engineering Manager
Job in
Mebane, Alamance County, North Carolina, 27302, USA
Listed on 2026-01-05
Listing for:
Thermo Fisher Scientific
Full Time
position Listed on 2026-01-05
Job specializations:
-
Engineering
Manufacturing Engineer, Lean Manufacturing / Six Sigma -
Manufacturing / Production
Manufacturing Engineer, Lean Manufacturing / Six Sigma
Job Description & How to Apply Below
Work Schedule
Standard (Mon-Fri) Environmental Conditions
Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Job Summary:
The Manufacturing Engineering Manager will lead the manufacturing engineering team to ensure efficient and effective production of high-quality products. This role involves strategic planning, process optimization, and continuous improvement initiatives to enhance manufacturing capabilities, productivity, reliability, and availability. The ideal candidate will have extensive experience in manufacturing engineering, strong leadership skills, and a proven track record of driving operational excellence, particularly through deployment of automation, structured problem solving and reliability engineering principles.
Key Responsibilities:
Leadership and Management:
Lead, mentor, and develop a team of manufacturing engineers.
Foster a culture of continuous improvement and operational excellence.
Implement tiered daily management practices to ensure effective communication and problem-solving at all levels.
Set performance goals and conduct regular performance reviews.
Process Optimization and Automation:
Analyze and optimize manufacturing processes to improve efficiency, reduce costs, and enhance product quality.
Implement lean manufacturing principles and Six Sigma methodologies to streamline processes and eliminate waste.
Identify opportunities for automation, integrating advanced technologies such as robotics, IoT, MES, SCADA, inspection systems, vision systems, pick-and-place and controls.
Ensure the reliability and availability of automated systems.
Project and Resource Management:
Manage manufacturing engineering projects from conception to completion, including administration of the engineering project funnel.
Develop and manage capital budgets for engineering projects.
Coordinate with cross-functional teams to ensure project timelines and objectives are met.
Allocate resources, including personnel, equipment, and materials, and manage departmental budgets.
New Product Implementation (NPI):
Lead the manufacturing readiness for new product introductions.
Collaborate with R&D and product development teams to ensure manufacturability of new products.
Conduct Installation Qualification (IQ) to verify that new equipment and processes meet required specifications.
Ensure smooth transition from prototype to full-scale production.
Continuous Improvement and Quality Assurance:
Identify opportunities for process improvements and lead initiatives to implement changes.
Conduct root cause analysis and implement corrective actions for process-related issues.
Utilize formalized problem-solving techniques such as 8D, DMAIC, PDCA, and A3.
Ensure adoption of Good Documentation Practices (GDP) to maintain accurate and reliable documentation of manufacturing processes and quality control measures.
Implement Measurement Systems Analysis (MSA) and Statistical Process Control (SPC) to ensure precision and consistency in manufacturing processes.
Implement and follow change management processes
Reliability, Maintenance, and Spares Planning:
Develop strategies to enhance the reliability and availability of manufacturing systems and equipment including injection molding, automation and manual assembly processes.
Implement predictive maintenance programs to minimize downtime.
Monitor and analyze equipment performance data to identify and…
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