Senior Logistics Process Engineer

How You Will Make an Impact: 

• Design and implement improvements in logistics processes for data centers, including rack receiving, warehouse management,  spare parts management, reverse logistics,  and returns
• Design and implement improvements to reduce lead times, inventory costs, and improve delivery accuracy for products and services
• Analyze existing processes, identify inefficiencies, and suggest solutions to enhance the overall workflow
• Investigate implementation of Warehouse Management Systems (WMS), and other logistics software to identify opportunities for improvement to manage inventory and move orders in real-time
• Work on integrating new technologies to automate and optimize logistics processes
• Use data analytics tools to monitor and assess key performance indicators (KPIs) related to data center logistics such as on-time delivery, move order lead times, and inventory management
• Prepare regular reports on process performance and make recommendations for continuous improvement
• Monitor trends in returns and repairs, identifying patterns that may signal product issues or opportunities for improvement in the logistics process
• Design and optimize E2E Warehouse processes and systems
• Oversee the management of spare parts and returned products in warehouses, ensuring proper storage, handling, and inventory tracking
• Implement inventory management systems that provide real-time tracking of parts and returns
• Travel (25-50%) to perform Gemba walk and Go & See improvement observations

What you will need to Succeed: 

• Minimum 7-10 years in logistics or supply chain roles, preferably within the data center industry
• Experience with large campus data center logistics operations is highly advantageous
• Experience with logistics software and tools used in the industry
• Logistics and Supply Chain Management: In-depth knowledge of logistics operations, distribution channels, and inventory management
• Analytical Skills: Ability to analyze data and metrics for demand forecasting, system optimization, and process improvements
• ERP and Logistics Software: Proficiency in using logistics-related software such as SAP, Oracle, or WMS
• Problem-Solving: Ability to identify bottlenecks, delays, and inefficiencies in the logistics system and implement solutions
• Project Management: Experience in managing logistics projects, coordinating across departments, and ensuring on-time implementation
• Communication Skills: Strong ability to communicate and collaborate with suppliers, dealers, and internal teams

Educational Background:

• Degree: A bachelor’s or master’s degree in mechanical/automotive engineering, supply chain management, industrial engineering, or a related field