Industrial Engineer

• Lead global Industrial Engineering (IE) standardization for warehouse sizing, storage utilization, labor planning, productivity measurement, and capacity forecasting.
• Develop and maintain scalable analytical models for capacity planning, labor forecasting, productivity management, storage optimization, and network growth scenarios.
• Evaluate warehouse expansion opportunities, including layout optimization, racking conversions, storage improvements, and new site assessments.
• Validate automation proposals from Operations and Network Operations using IE methodologies and business case analysis.
• Quantify automation benefits, including labor savings, productivity improvements, space utilization, throughput gains, cost reduction, ROI, and payback.
• Identify and drive low-cost automation and process improvement opportunities through IE studies, value stream analysis, and operational observations.
• Lead continuous improvement initiatives to enhance operational efficiency, productivity, service levels, and cost performance.
• Integrate data from Planning, Operations, Network Operations, and other functions to develop end-to-end datasets for modeling and decision support.
• Develop analytical tools and models to support capacity planning, labor management, network expansion, and operational performance analysis.
• Partner with reporting teams to translate IE models into actionable dashboards and reporting solutions that support business and operational decisions.
• Utilize and support reporting platforms such as Tableau, Celonis, and Power BI; experience enhancing dashboards and reports through data manipulation and visualization improvements is preferred.
• Collaborate with regional IE teams to deploy global standards, validate automation implementations, and incorporate operational feedback.
• Drive cross-functional collaboration across Operations, Planning, Network Operations, IT, and Supply Chain to support data-driven decision making and process improvement.

• Bachelor’s degree in Industrial Engineering, Data Analytics, Logistics, Engineering, or a related field.
• Minimum 5 years of experience in Industrial Engineering, data analytics, warehousing, logistics, supply chain, or related industries.
• Strong experience in labor management, productivity analysis, capacity planning, facility layout design, and process optimization.
• Proven analytical and quantitative skills with experience developing business cases and ROI analyses.
• Advanced proficiency in Microsoft Excel and analytical tools such as JMP.
• Working knowledge of SQL and business intelligence platforms including Tableau, Celonis, or Power BI.
• Experience evaluating warehouse automation technologies and material handling systems is preferred.
• Willingness to travel as required for site assessments, operational reviews, and project implementation.
• Ability to work in warehouse environments, including periodic standing, walking, stair climbing, and observation of operational activities.

Demonstrates advanced knowledge of Industrial Engineering principles, warehouse operations, labor planning, productivity analysis, capacity modeling, process optimization, and operational analytics. Applies data-driven methodologies to improve performance, evaluate automation opportunities, and support strategic planning. Possesses working knowledge of data integration, reporting tools, warehouse design, and material flow analysis.

Understands warehousing, logistics, and supply chain operations, including key cost drivers, operational metrics, and industry best practices. Recognizes how Industrial Engineering solutions support business growth, network expansion, operational scalability, and financial performance. Balances operational requirements, customer expectations, and business objectives when developing recommendations.

Serves as a subject matter expert in Industrial Engineering, operational analytics, productivity improvement, and automation assessment. Leads cross-functional projects and collaborates effectively across regions and functions. Provides technical guidance and promotes standardization, knowledge sharing, and best-practice adoption across the organization.

Applies structured analysis, modeling, and Industrial Engineering methodologies to solve complex operational challenges. Evaluates multiple data sources, identifies root causes, and develops practical, scalable solutions. Exercises sound judgment in balancing operational, technical, and financial considerations while driving continuous improvement.

Influences global warehouse capacity planning, storage optimization, labor productivity, automation investments, and operational efficiency initiatives. Improves planning accuracy, reduces operating costs, increases productivity, and enhances readiness for network growth and expansion. Supports strategic decision-making through analytical models, reporting solutions, and actionable insights.

Communicates complex analytical and operational concepts effectively to both technical and non-technical audiences. Builds strong partnerships across Operations, Planning, Network Operations, IT, Supply Chain, and regional teams. Facilitates collaboration, alignment, and knowledge sharing while influencing stakeholders through data-driven recommendations.