Process Excellence Engineer

Corning

71d•Onsite

About The Position

This role focuses on optimizing manufacturing systems by evaluating data trends, workflows, identifying bottlenecks, and facilitating solutions to close performance gaps. It involves developing operational roadmaps aligned with future capacity ramp plans, driving process improvements, and reducing performance losses across multiple manufacturing sites. The position requires collaboration with Operations and Engineering to enhance Process Control and Process Discipline, assessing organizational design for workflow optimization, and managing cost reduction initiatives. Additionally, the role serves as the operational lead for deploying new equipment and processes, ensuring proper documentation, training, and change management for all technology to manufacturing transitions. Position is in the Division Engineering organization within Corning Optical Fiber and Cable (OFC) and is based in Wilmington, NC.

Requirements

B.S. in Engineering (Chemical, Mechanical, Electrical/Controls, Materials, or equivalent)
5+ years in manufacturing setting.
2+ years of Engineering leadership and/or project management experience
Solid understanding of engineering principles and ability to solve manufacturing issues.
2+ years of experience with data analysis tools; (e.g., Excel, Access, Power BI, or SQL).
Comfortable working with teams across manufacturing, technology, R&D, operations, procurement, IT, and supply chain.
Self-starter; takes full ownership; leads teams through challenges and obstacles.

Nice To Haves

Advanced degree in Engineering (Chemical, Mechanical, Electrical/Controls, Materials, or equivalent)
Comfortable partnering with different functions (Technology, Engineering, Operations, IT, GSM, etc.).

Responsibilities

Define and deliver process excellence for required manufacturing sites, ensuring accurate and timely information and data flow through manufacturing and the value chain.
Optimize workflows by identifying issues, resolving gaps, and eliminating bottlenecks through equipment planning.
Monitor manufacturing improvements; escalate technical needs to engineering teams.
Assess organizational design and recommend workforce optimization strategies.