Remote Lead, Advanced Industrial Engineering

Faith Technologies; Topeka (KS); Remote; USD 120,000 - 180,000; Full time

Job summary

Faith Technologies, Inc. seeks an Advanced Industrial Engineer-Lead to design scalable, efficient, and resilient manufacturing systems across our operations.

You will lead a cross-functional team to deliver projects from concept through implementation, shaping the future state of our manufacturing footprint. The role emphasizes data-driven decision making, problem solving, and mentoring future leaders while aligning with our Lean, Six Sigma, and Theory of Constraints framework to reduce waste

Qualifications

• Education: Bachelor's degree in industrial, manufacturing, or mechanical engineering.
• ],

Responsibilities

• Design and optimize end-to-end manufacturing and operational processes for efficiency, quality, and scalability.
• Lead a team focusing on advanced time studies, line balancing, capacity modeling, and throughput optimization.
• Develop standard work, labor models, and ergonomic solutions for complex manufacturing environments.
• Apply Lean, Six Sigma, and Theory of Constraints to identify and eliminate waste across operations.
• Build and maintain advanced simulation, flow, and capacity models to support data-driven decisions.
• Create cost models, make-vs-buy analyses, and ROI justifications for capital and process investments.
• Influence product design through DFMA, tolerance analysis, error-proofing, and assembly feasibility studies.
• Lead NPI industrialization efforts, including production layouts, material flow, and ramp-up strategies.
• Drive continuous improvement through Kaizen events, KPI development, and cross-functional leadership.
• Performs other related duties as required and assigned.

Job description

Faith Technologies, Inc. seeks an Advanced Industrial Engineer-Lead to design scalable, efficient, and resilient manufacturing systems across our operations.

You will lead a cross-functional team to deliver projects from concept through implementation, shaping the future state of our manufacturing footprint. The role emphasizes data-driven decision making, problem solving, and mentoring future leaders while aligning with our Lean, Six Sigma, and Theory of Constraints framework to reduce waste