Lead Advanced Industrial Engineer

Jobtailor

Kansas

On-site

USD 85,000 - 130,000

Full time

4 days ago

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Job summary

Jobtailor is seeking an experienced Industrial/Operations Engineer to shape scalable manufacturing systems in Kansas. You will lead teams from concept to ramp-up, drive process optimization, and implement lean methodologies to reduce waste and improve throughput.

Ideal candidates bring 7+ years in industrial/operations engineering, DFMA awareness, and hands-on time studies, line balancing, and capacity modeling, with a track record in NPI industrialization and Kaizen KPI programs.

Qualifications

Bachelor's degree in industrial engineering, manufacturing engineering, mechanical engineering, or related field.
7+ years of industrial or operations engineering experience.
Ability to travel 25%.
Ability to work between 7 AM and 5 PM, Monday-Friday.
Ability to work a flexible schedule.
Experience with Lean, Six Sigma, and Theory of Constraints.
Experience with advanced time studies, line balancing, capacity modeling, and throughput optimization.
Experience developing standard work, labor models, and ergonomic solutions.
Experience building and maintaining simulation, flow, and capacity models.
Experience with cost models, make-vs-buy analyses, and ROI justifications.
Knowledge of DFMA, tolerance analysis, error-proofing, and assembly feasibility studies.
Experience leading NPI industrialization efforts.
Experience with Kaizen events and KPI development.
Employment contingent upon successfully passing a background and drug test.

Responsibilities

Shape the future state of operations by delivering scalable, efficient, and resilient manufacturing systems.
Lead a team supporting projects from start to finish.
Design and optimize end-to-end manufacturing and operational processes for efficiency, quality, and scalability.
Lead advanced time studies, line balancing, capacity modeling, and throughput optimization initiatives.
Develop standard work, labor models, and ergonomic solutions for complex manufacturing environments.
Apply Lean, Six Sigma, and Theory of Constraints to identify and eliminate operational waste.
Build and maintain advanced simulation, flow, and capacity models for 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.
Perform other related duties as required and assigned

Skills

Lean Manufacturing

Six Sigma

Theory of Constraints

Industrial Engineering

Operations Engineering

Advanced Time Studies

Line Balancing

Throughput Optimization

Standard Work Development

Labor Models

Ergonomic Solutions

DFMA

Capacity Modeling

NPI Industrialization

Education

Bachelor's degree in industrial engineering, Manufacturing Engineering, Mechanical Engineering, or related field

Tools

Simulation Models

Flow Models

KPI Development

Make-vs-Buy Analysis

Job description

Shape the future state of operations by delivering scalable, efficient, and resilient manufacturing systems
Lead a team supporting projects from start to finish
Design and optimize end-to-end manufacturing and operational processes for efficiency, quality, and scalability
Lead advanced time studies, line balancing, capacity modeling, and throughput optimization initiatives
Develop standard work, labor models, and ergonomic solutions for complex manufacturing environments
Apply Lean, Six Sigma, and Theory of Constraints to identify and eliminate operational waste
Build and maintain advanced simulation, flow, and capacity models for 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
Perform other related duties as required and assigned

Requirements

Bachelor's degree in industrial engineering, Manufacturing Engineering, Mechanical Engineering, or related field
7+ years of Industrial or Operations Engineering experience
Ability to travel 25%
Ability to work between 7 AM and 5 PM, Monday-Friday
Ability to work a flexible schedule
Experience with Lean, Six Sigma, and Theory of Constraints
Experience with advanced time studies, line balancing, capacity modeling, and throughput optimization
Experience developing standard work, labor models, and ergonomic solutions
Experience building and maintaining simulation, flow, and capacity models
Experience with cost models, make-vs-buy analyses, and ROI justifications
Knowledge of DFMA, tolerance analysis, error-proofing, and assembly feasibility studies
Experience leading NPI industrialization efforts
Experience with Kaizen events and KPI development
Employment contingent upon successfully passing a background and drug test

Core Competencies

Demonstrates expertise in designing and optimizing manufacturing systems, applying Lean, Six Sigma, and Theory of Constraints methodologies to drive efficiency and quality. Proven ability to lead cross-functional teams in continuous improvement initiatives and NPI industrialization efforts.

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