【About JD.com】
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.
【Our International Business】
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/
Job Responsibilities:
1.Develop a lean innovation and cost-efficiency management system for the sorting center in line with the company’s strategic goals.
2.Implement exception recovery standards to effectively reduce customer complaints.
3.Oversee cost budgeting and drive cost reduction and efficiency improvement initiatives within assigned business lines.
4.Promote on-site sorting improvements using lean tools to enhance operational efficiency and control costs.
5.Organize lean knowledge training, develop teaching materials, and promote the application of lean methodologies.
6.Ensure standardization and compliance with safety regulations in sorting operations.
Job Requirements:
1.At least 5 years of experience in logistics or manufacturing, including 3+ years in lean management or process optimization.
2.Bachelor’s degree or higher.
3.Proficient in lean management methodologies with practical experience in data analysis and continuous improvement.