Senior Logistics Process Engineer

The Senior Logistics Process Engineer is responsible for designing, optimizing, documenting, and implementing end-to-end logistics processes for hyperscale and large-campus data center operations. The role focuses on the rapidly evolving logistics requirements created by data center expansion, including warehouse operations, hub-to-spoke and internal material distribution, rack receiving and movement, spare parts, staging, transportation, inventory control, returns, reverse logistics, and system-enabled traceability.

The position combines process engineering, industrial engineering, logistics technology, and data analysis to create scalable, safe, measurable operating models.

• Design and optimize end-to-end logistics processes across receiving, inspection, staging, put-away, storage, replenishment, picking, internal distribution, rack movements, outbound flows, returns, reverse logistics, and spare-parts management.
• Develop scalable internal material-distribution models for data center campuses, warehouses, hubs and spokes, defining material handoffs, routes, service levels, process controls, exception paths, and ownership.
• Analyze current-state operations to identify bottlenecks, unnecessary handling, delays, inventory risk, capacity constraints, safety risks, and opportunities for automation or standardization.
• Conduct time studies and time-and-motion studies to establish cycle times, standard work, productivity expectations, staffing assumptions, and capacity requirements.
• Build or support discrete-event simulations and scenario models to test process flows, warehouse layouts, resource utilization, queues, staffing levels, equipment needs, and future volume growth before implementation.
• Create and maintain process documentation including process flows, swimlane diagrams, value-stream maps, decision logic, system interaction maps, business rules, and operational standards.
• Design and optimize warehouse layouts and operating processes, including staging zones, storage strategy, replenishment, cycle counting, quarantine, returns, material routes, and location controls.
• Translate operational requirements into functional requirements for WMS, TMS, ERP, inventory, product automation, IoT, AI, and other logistics technologies; support selection, testing, implementation, and post-launch optimization.
• Define and monitor KPIs including throughput, lead time, cycle time, delivery accuracy, inventory accuracy, productivity, utilization, returns, and inventory turnover; use data to validate improvement impact.
• Partner with operations, business intelligence, safety, compliance, and customer teams during data center launches, expansions, service transitions, and continuous-improvement initiatives.

• Conduct on-site operational assessments, process observations, time studies, implementation validation, and workflow analysis across data center campuses and warehouse environments.

• Strong knowledge of logistics, warehouse operations, supply chain, inventory control, internal distribution, transportation, and reverse logistics.
• Strong process and industrial-engineering capability, including process design, time studies, capacity analysis, workflow optimization, standard work, and continuous improvement.
• Experience with discrete-event simulation, process modelling, or operational scenario analysis is highly desirable.
• Strong process-mapping and documentation capability, with the ability to translate complex operations into clear workflows, standards, and system requirements.
• Experience with WMS, TMS, ERP, inventory, or logistics platforms
• Strong analytical and structured problem-solving skills, with the ability to use operational data to identify constraints, root causes, and improvement opportunities.

• Strong project, stakeholder, and communication skills with experience coordinating cross-functional process and technology implementations.

• Bachelor’s or Master’s degree in Industrial Engineering, Mechanical Engineering, Supply Chain Management, Logistics, Operations Engineering, or a related discipline.
• Minimum 10 years of relevant experience in industrial engineering, process engineering , logistics, supply chain, or a comparable operational environment.
• Experience supporting large-scale data center, warehouse, distribution, manufacturing, or other high-volume mission-critical operations is preferred; large-campus data center logistics experience is highly advantageous.

• Professional…