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JD.com is seeking a data-driven Logistics Process Planning Manager to design, optimize, and modernize warehouse and sorting networks across the Middle East. You will lead end-to-end process layout engineering, integrate automation systems, and develop CAD layouts and ROI models to drive scalable regional growth.
Requirements include a Bachelor’s in a relevant field and 5+ years in logistics process planning or automation, with strong English and the ability to travel within the Middle East.
JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, JD.com has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, JD.com is China’s largest retailer by revenue.
We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, JD.com continues to expand in markets where our competitive strengths shine. Currently, JD.com operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.
Learn more about us: https://corporate.jd.com/
We are seeking a data-driven Logistics Process Planning Manager to design, optimize, and modernize our warehouse and sorting network across the Middle East. In this role, you will lead end-to-end process layout engineering, integrate advanced automation systems (WMS/WCS/TMS), and design technical solutions for high-stakes pre-sales RFPs. This position bridges industrial engineering with cutting-edge technology, transforming complex operational data into high-efficiency CAD layouts and robust ROI models to drive scalable regional growth.