E&PI PI Supervisor, Manufacturing Engineering

Ametek, Inc.•Fox Chapel, PA

12d

About The Position

The Manufacturing Engineering Supervisor leads manufacturing engineering activities while providing hands-on technical expertise. This role oversees a Senior Manufacturing Engineer and drives process optimization, continuous improvement, and quality compliance. The position is responsible for implementing new manufacturing processes, supporting production teams, and ensuring cost, quality, and delivery objectives are consistently achieved.

Requirements

BS in Engineering and experience of problem solving in a manufacturing environment required
Excellent written and oral communication skills, as well as good organization and people skills
Skills commensurate with a technical degree, and facility with Microsoft Excel, or similar spreadsheet software is a must.
Critical thinking, data-supported decisions.
Ability to evaluate group and individual performance

Nice To Haves

Training and skills regarding Lean, Six-Sigma, and Kaizen methodologies are a plus.

Responsibilities

Support effective execution of sales orders where technical support is needed
Lead short-term problem-solving efforts to quickly address and mitigate production challenges.
Implement medium- and long-term strategies to identify underlying issues and execute effective countermeasures.
Design and develop fixtures and manufacturing processes in collaboration with Operations to improve productivity and increase yields.
Enhance processes for disposition and handling of supplier nonconforming materials to minimize impact on production.
Execute Operational Excellence (OPEX) projects to support business and corporate objectives.
Coach and evaluate team members to build technical capability and leadership skills.
Train production personnel to build their skillsets and capabilities that support the manufacturing processes.
Manage immediate production issues while driving long-term process improvements.
Allocate limited resources and equipment to meet aggressive production schedules.
Lead adoption of new processes, technologies, and continuous improvement initiatives in a dynamic environment.
Leverage analytics to identify root causes and justify investments in process improvements.