Industrial Engineer III

Greene Tweed•Kulpsville, PA

8d•Onsite

About The Position

At Greene, Tweed, you'll find the cutting-edge technology, world-class polymer expertise and endless advancement opportunities you'd expect from a multi-national industry leader. You'll find them all in an environment that embraces diversity in people and opinions, moves decision making to the point of impact, and celebrates your success. If you enjoy continuous learning and are excited about working with and creating technological solutions, explore career opportunities with Greene, Tweed.

Requirements

Bachelor’s Degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or related field.
Lean Six Sigma Black Belt required
6–10 years of experience in industrial engineering, manufacturing, or continuous improvement
Demonstrated expertise in: Lean Manufacturing (Kaizen, Value Stream Mapping, flow, pull systems), Six Sigma (DMAIC, DOE, statistical analysis), Industrial Engineering methods (line balancing, time studies, capacity modeling, throughput analysis)
Advanced proficiency in: Statistical tools (Minitab or equivalent), Production data analysis and performance systems (OEE, SPC, ERP/MES platforms)
Proven track record delivering quantifiable business impact (cost savings, efficiency gains, throughput improvements)
This position requires U.S. Person status as defined by applicable law for authorized access to data controlled under the International Traffic in Arms Regulations (ITAR). A U.S. Person includes U.S. Citizens, U.S. Nationals, lawful permanent residents, and workers granted refugee or asylum status in the United States.

Responsibilities

Lead analysis of production systems (OEE, throughput, cycle time, yield, cost) to identify systemic inefficiencies and constraints
Perform advanced data analysis (regression, hypothesis testing, DOE, capability analysis) to determine root causes and validate improvements
Develop and deploy models for capacity planning, bottleneck analysis, and throughput optimization
Establish performance baselines and drive data-driven decision making across value streams
Lead value stream design and optimization through: Line balancing and labor modeling, Takt-based flow design and production rate optimization, Facility layout and material flow improvements
Develop and maintain standardized labor models, capacity plans, and system performance metrics
Apply advanced industrial engineering concepts to improve flow, reduce variability, and increase system efficiency
Utilize modeling or simulation-based thinking (where applicable) to evaluate production scenarios
Lead high-impact Lean Six Sigma projects aligned to strategic business objectives (cost reduction, throughput, quality improvement)
Facilitate Kaizen events and Value Stream Mapping sessions
Define project scope, develop charters, execute analysis, and ensure measurable results
Deliver sustained improvements in cost, scrap reduction, lead time, and productivity
Coach engineers, CI leads, and process owners in Lean, Six Sigma, and industrial engineering tools
Train teams on statistical methods, structured problem solving, and process management
Mentor junior engineers (IE I/II) in technical skills and project execution
Foster a culture of continuous improvement and data-driven decision making
Partner with Operations, Quality, Supply Chain, and leadership to align improvement initiatives with business priorities
Lead efforts to simplify, standardize, and replicate best practices across value streams
Support production ramp, rate increases, and new process integration through IE principles
Influence decision-making at multiple organizational levels
Establish and monitor key performance indicators (SQDC, OEE, throughput, cost)
Ensure sustainability of improvements through control plans, standard work, and visual management
Track and communicate project performance, risks, and outcomes to leadership
Drive institutionalization of improvements across the organization