Industrial Engineer

Key Duties/Programming Responsibilities: US Citizenship Required

• 
  
  
  
  • Process Improvement and Optimization:
  
  
  
  
  • Lead and manage large-scale process improvement projects aimed at reducing waste, improving efficiency, and enhancing product quality.
  • Conduct time studies, work measurements, and workflow analyses to identify inefficiencies, implement corrective actions and update SAP labor standards based on cycle time improvements. Rectify standards vs. time charging.
  • Develop and implement lean manufacturing strategies (such as Kaizen, 5S, and Value Stream Mapping) to improve plant performance.
  
  
  
  
  • Project Leadership:
  
  
  
  
  • Oversee and manage the engineering lifecycle for projects, from initial concept through design, testing, and implementation.
  • Coordinate with cross-functional teams to ensure projects are delivered on time, within scope, and on budget.
  • Drive continuous improvement projects related to automation, ergonomics, and cost reduction.
  
  
  
  
  
  
  • Data Analysis and Modeling:
  
  
  
  
  • Utilize data analytics to assess process performance, develop models to predict outcomes, and identify areas for improvement.
  • Design simulations and create data-driven solutions for optimizing production flow, reducing cycle times, and improving overall equipment effectiveness (OEE).
  
  
  
  
  • Capacity Planning and Layout Design:
  
  
  
  
  • Lead facility layout planning and design to optimize space utilization, material flow, and production capacity.
  • Develop models to assess capacity and production requirements in alignment with business growth plans. Use SAP S4 inputs to ensure model inputs are correct and "real time" (initial development- bi annual reviews).
  • Work with planning team to better utilize SAP for monthly demand consensus (capacity, equipment utilization, headcount requirements)
  
  
  
  
  • Technology Implementation:
  
  
  
  
  • Stay updated on the latest manufacturing technologies and best practices, such as Industry 4.0, automation, robotics, and advanced manufacturing techniques.
  • Lead the implementation of technology upgrades and automation solutions to improve productivity and reduce costs.
  
  
  
  
  • Standard Operating Procedures (SOPs):
  
  
  
  
  • Develop and maintain standardized work instructions and operating procedures to ensure consistency and quality in production processes.
  • Collaborate with production and quality teams to train personnel on new or updated procedures.
  
  
  
  
  • Lean Six Sigma:
  
  
  
  
  • Serve as the subject matter expert on lean principles and Six Sigma methodologies, driving data-driven problem solving and continuous improvement.
  • Mentor and coach team members on process improvement methodologies, fostering a culture of operational excellence.
  
  
  
  
  • Cost Reduction and Productivity Improvement:
  
  
  
  
  • Identify opportunities to reduce operational costs through labor optimization, material usage, and process refinement.
  • Lead initiatives to improve productivity, reduce downtime, and eliminate non-value-added activities.
  
  
  
  
  • Collaboration and Leadership:
  
  
  
  
  • Work closely with other engineering teams, production supervisors, and senior management to develop and execute strategic initiatives.
  • Provide technical leadership to cross-functional teams.
  • Drive alignment between operational goals and long-term business objectives.
  
  
  
  
  • KPI Management:
  
  
  
  
  • Develop and monitor key performance indicators (KPIs) such as cycle time, throughput, OEE, and production costs.
  • Continuously review performance metrics and recommend improvements to meet or exceed targets.
  • Setup internal KPIs to monitor key processes (Cure, machining, NDI, etc.)
  
  
  
  
  
  
  

Knowledge:

• Undergraduate Degree in Industrial Engineering with 4 years manufacturing experience preferred
• Working knowledge of Microsoft Office Products (Excel, Word, PowerPoint)
• Collaborative Spirit and Willingness to Think Outside the Box
• Comfortability with learning and applying Statistical Analytics (Lean / Six Sigma green belt, Black belt preferred)
• Working knowledge of AutoCAD or similar CAD modeling software preferred.