Senior Manufacturing Engineer — Lean & Kaizen Leader

Chart Industries, Inc.; Tulsa (OK); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k) with employer match

Disability and life insurance

Job summary

Chart Industries in Tulsa, OK is seeking a manufacturing engineer to develop and evaluate production methods, eliminate waste, enhance safety and performance, and resolve technical problems. You will analyze workforce utilization, plan layouts, and collaborate with planning, design staff and vendors to meet specifications and quality standards.

The role requires strong analytical, writing and presentation skills, experience with Kaizen, and the ability to apply statistical methods to forecast

Qualifications

• Ability to read, analyze and interpret general business and technical materials.
• Ability to write reports and procedures clearly.
• Strong presentation and communication skills.

Responsibilities

• Develop and evaluate production methods to reduce waste and improve safety.
• Analyze workforce utilization and plan equipment layouts for efficiency.
• Collaborate with design staff and vendors to meet specs and quality.
• Estimate production times and costs for management decisions.
• Apply statistical methods to forecast manufacturing needs.
• Develop and track annual capital budgets.
• Ensure compliance with environmental and safety requirements.

Skills

Reading comprehension

Report writing

Presentation skills

Analytical thinking

Mathematical skills

Problem solving

Organizational ability

Education

BS Degree

7+ years experience

Job description

Chart Industries in Tulsa, OK is seeking a manufacturing engineer to develop and evaluate production methods, eliminate waste, enhance safety and performance, and resolve technical problems. You will analyze workforce utilization, plan layouts, and collaborate with planning, design staff and vendors to meet specifications and quality standards.

The role requires strong analytical, writing and presentation skills, experience with Kaizen, and the ability to apply statistical methods to forecast