Senior Staff Engineer - Industrial and Lean Engineering

Corning•Town of Erwin, NY
•$122,970 - $169,085

About The Position

Corning is seeking a Senior Staff Engineer – Industrial and Lean Engineering to support manufacturing and business teams across Corning locations. The role is based in Corning, New York, requires approximately 50–60% domestic travel, and offers relocation assistance. This senior technical leadership position applies Industrial Engineering, Lean principles, manufacturing systems thinking, and Theory of Constraints to improve the flow of products, materials, information, and decisions across operations. Work may involve resolving production constraints, increasing capacity and productivity, reducing inventory and cost, and developing models and analyses to support major manufacturing investment decisions. The engineer works directly with plant and business teams to convert data and on-the-floor observations into practical, sustainable results, while coaching engineers and strengthening Industrial and Lean Engineering capabilities. Corning's Manufacturing, Technology and Engineering division provides engineering expertise and manufacturing technologies to Corning's existing and emerging businesses, partnering with its businesses and Science & Technology division to sustain manufacturing as a competitive advantage.

Requirements

  • Bachelor’s degree in Industrial Engineering, Systems Engineering, Operations Research, Engineering Management, or another relevant engineering or technical discipline.
  • 15+ years of experience in Industrial Engineering, manufacturing, supply chain, operations excellence, systems engineering, or a related field.
  • Demonstrated experience leading large-scale, cross-functional manufacturing improvement or business transformation initiatives.
  • Deep practical knowledge of Lean Manufacturing, systems thinking, Theory of Constraints, capacity analysis, value-stream improvement, and manufacturing flow optimization.
  • Experience using data and visualization tools such as Excel, Power BI, Tableau, or similar platforms to analyze operational performance and communicate actionable insights.
  • Strong project leadership, stakeholder management, facilitation, written communication, and presentation skills, including the ability to influence across functions and organizations.

Nice To Haves

  • Master's degree in Industrial Engineering, Operations Research, Systems Engineering, Engineering Management, Analytics, or a related field.
  • Experience with discrete event simulation software such as SIMUL8, FlexSim, AnyLogic, or similar platforms.
  • Experience applying Operations Research, optimization, decision analytics, or mathematical modeling techniques.
  • Experience using Python for analytics, automation, optimization, or modeling.
  • Experience with advanced analytics, data preparation, workflow automation, or predictive modeling.
  • Lean, Theory of Constraints, or related operational excellence certification.
  • Experience working across multiple plants, business units, or global operations.

Responsibilities

  • Apply Industrial Engineering, Lean principles, systems thinking, and Theory of Constraints to improve product and information flow, increase capacity, reduce inventory and complexity, and lower cost.
  • Lead cross-functional improvement initiatives across manufacturing, supply chain, engineering, and business operations.
  • Conduct current-state and future-state assessments, value stream analyses, and operational performance evaluations.
  • Identify and prioritize productivity, throughput, capacity, cost reduction, and process simplification opportunities across multiple facilities and organizations.
  • Develop and execute project plans covering requirements, deliverables, resources, timelines, milestones, stakeholder engagement, and risk mitigation.
  • Develop and deploy data visualization solutions for operational decision-making and performance reporting.
  • Apply Industrial Engineering methods, including capacity analysis, manufacturing flow analysis, labor productivity improvement, cost modeling, and facility optimization.
  • Communicate recommendations, project status, business impact, and technical findings through presentations, dashboards, and technical documentation.
  • Coach and mentor engineers, analysts, and operational teams, and serve as a technical resource to manufacturing and business leaders.
  • Develop standards, methodologies, best practices, and technical documentation to strengthen organizational capability and institutional knowledge.

Benefits

  • Company-wide bonuses and long-term incentives.
  • 100% company-paid pension benefit with fixed contributions.
  • Matching contributions to a 401(k) savings plan; total company contributions to retirement accounts can reach between 7% and 12% of pay, depending on age and years of service.
  • Medical, dental, and vision benefits.
  • Paid parental leave and family building support.
  • Fitness benefits.
  • Company-paid life insurance and disability benefits.
  • Disease management programs, paid time off, and an Employee Assistance Program.
  • Recognition program to celebrate successes and reward exceptional contributions.
  • Relocation assistance.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service