Industrial Engineer, Material Flow and Logistics Operations

This position will apply lean principles, Gemba, value-stream mapping, industrial engineering methods, simulation, data analytics, and process standardization to identify and implement sustainable operational improvements. The successful candidate will help build a lean, efficient, and optimized supply chain from the supplier through the point of fit.

What you'll do...

• Conduct Gemba studies and current-state assessments across manufacturing and material-flow operations.
• Develop value-stream maps to identify bottlenecks, waste, congestion, capacity constraints, and non-value-added activities.
• Analyze labor requirements, work content, utilization, throughput, and operational capacity.
• Develop and standardize labor methods using recognized industrial engineering and work-measurement practices.
• Support process simulation and scenario analysis to identify labor, material-flow, and capacity opportunities.
• Lead Kaizen and continuous-improvement activities that improve safety, quality, delivery, cost, and productivity.
• Establish repeatable operating standards and support the deployment of best practices across multiple sites.

• Analyze end-to-end material flow from supplier locations through warehouses, off-dock facilities, manufacturing plants, and the point of fit.
• Identify opportunities to reduce handling, travel distance, congestion, inventory, and other non-value-added activity.
• Improve material presentation, storage, routing, replenishment, dock operations, and point-of-fit delivery processes.
• Support material-cost and operational-efficiency studies at Tier 1 supplier locations.
• Work with Supplier Technical Assistance and other stakeholders to assess and improve supplier material-flow operations.

• Support MP&L requirements development and labor analysis for forward-model and manufacturing launch programs.
• Participate in launch-readiness reviews and identify material-flow, labor, capacity, process, and infrastructure risks.
• Support supplier audits, launch reviews, and post-Job 1 operational stabilization activities.

• Use data and analytics to identify operational trends, constraints, and improvement opportunities.
• Develop dashboards and performance measures that track productivity, utilization, throughput, labor efficiency, and improvement implementation.
• Apply Power BI and other analytical tools to enable fact-based operational decisions.
• Support the development and enhancement of agentic, AI-enabled, or automation solutions for opportunity identification and efficiency analysis.
• Translate complex operational data into clear recommendations for plant and functional leadership.

• Partner with MP&L, Manufacturing, Plant Industrial Engineering, Purchasing, Supplier Technical Assistance, Finance, Launch, FPS, IT, and supplier teams.
• Facilitate cross-functional workshops to align on current-state conditions, improvement opportunities, ownership, and implementation plans.
• Communicate findings, risks, savings opportunities, and recommendations to leadership and operating teams.
• Build strong working relationships across plants, suppliers, and third-party facilities.

• Bachelors degree in Industrial Engineering or Manufacturing Engineering
• 4+ Years Experience applying industrial engineering methods in manufacturing, logistics, warehousing, material handling, or supply-chain operations.
• 2+ years of experience with discrete-event simulation or material-flow simulation tools.
• Proficiency in Power BI, Excel, SQL, Python, Alteryx, or similar data and automation tools.
• Working knowledge of:
  • Lean manufacturing
  • Gemba
  • Value-stream mapping
  • Standardized work
  • Labor and productivity analysis
  • Capacity and throughput analysis
  • Process optimization
  • Root-cause problem solving
• Ability to analyze operational data and convert findings into practical improvement actions.

• Masters degree in Industrial Engineering, Manufacturing Engineering or Operations Research
• Experience conducting work-measurement studies using MODAPTS, MOST or comparable predetermined-motion-time systems.
• Lean Six Sigma Green Belt, Black Belt, or comparable lean certification.
• Experience developing dashboards, analytical models, automated workflows, or AI-enabled operational tools.
• Experience supporting Tier 1 supplier assessments or operational improvement activities.

• Position may require regular engagement at…