Engineering Supervisor, Training & Set-Up Lead

Beauty Manufacturing Solutions Corp; Coppell (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

Beauty Manufacturing Solutions Corp in Coppell, TX, is seeking an Engineering Supervisor - Training/Set-Up to lead the development and deployment of the Machine Operator Training Program, oversee line trials, and ensure accurate line-set documentation to boost manufacturing efficiency.

The ideal candidate has a degree in engineering or equivalent experience, with at least three years in a leadership role training staff; strong analytical, communication, and safety-focused skills are essential.

Qualifications

• Degree in mechanical/electrical engineering preferred or extensive applicable experience in a related role.
• Industrial manufacturing experience required.
• Three years of experience in a leadership role training and/or supervising training of associates.

Responsibilities

• Supervises development and monitors efficacy, implementation, and control of the Machine Operator Training Program.
• Supervises the planning, coordination, and execution of all initial and continuous developmental training for Machine Operators.
• Supervises the Line Trial team and ensures we are effectively setting up and notating line trial information to create set-up sheets prior to first production.
• Supervises the planning, coordination, and execution of machine set-up sheet accuracy and efficacy.
• Supervises downtime reduction activities to optimize equipment uptime, safety, and environmental performance.

Skills

Critical thinking

Technical communication

Blueprint interpretation

Team leadership

Engineering calculations

Problem solving

Education

Engineering degree

Industrial manufacturing experience

Job description

Beauty Manufacturing Solutions Corp in Coppell, TX, is seeking an Engineering Supervisor - Training/Set-Up to lead the development and deployment of the Machine Operator Training Program, oversee line trials, and ensure accurate line-set documentation to boost manufacturing efficiency.

The ideal candidate has a degree in engineering or equivalent experience, with at least three years in a leadership role training staff; strong analytical, communication, and safety-focused skills are essential.