Richards Manufacturing Co. is seeking a Manufacturing Engineering Manager in Irvington, NJ, to lead the design and implementation of manufacturing processes. The ideal candidate will have a Bachelor’s degree in Mechanical, Industrial, or Manufacturing Engineering and over 10 years of experience. Responsibilities include managing engineering teams, developing manufacturing strategies, and ensuring compliance with safety standards. The position requires strong leadership and project management skills, along with expertise in lean manufacturing and process optimization.
Qualifications
10+ years of progressive experience in manufacturing or industrial engineering.
Experience in a fast-paced, hands-on, cross-functional environment.
Responsibilities
Lead and manage the manufacturing engineering team to support production goals.
Develop and implement manufacturing strategies that enhance efficiency.
Drive continuous improvement initiatives including lean manufacturing and Six Sigma.
Oversee the selection and maintenance of manufacturing equipment.
Establish and monitor KPIs related to manufacturing performance.
Ensure compliance with safety and regulatory standards.
Develop budgets for manufacturing engineering initiatives.
Skills
Lean manufacturing
Six Sigma
Process optimization
Leadership
Communication
Project management
Education
Bachelor’s degree in Mechanical, Industrial, or Manufacturing Engineering
Master’s degree (preferred)
Tools
CAD
ERP/MES systems
Industrial automation technologies
Job description
Richards Manufacturing Co. is seeking a Manufacturing Engineering Manager in Irvington, NJ, to lead the design and implementation of manufacturing processes. The ideal candidate will have a Bachelor’s degree in Mechanical, Industrial, or Manufacturing Engineering and over 10 years of experience. Responsibilities include managing engineering teams, developing manufacturing strategies, and ensuring compliance with safety standards. The position requires strong leadership and project management skills, along with expertise in lean manufacturing and process optimization.