
Dr Bing Xu
Senior Director
AIAG (Automotive Industry Action Group)

Dr. Bing Xu joined the Automotive Industry Action Group in 2025 as Senior Director of Catena-X. In this role, he is responsible to manage the AIAG Catena-X NA Hub and align the Catena-X Association and AIAG initiatives and common goals.
Before joining AIAG, Dr. Xu was the Director of Business Innovation at iPoint Inc. supporting customers in different industries with their material compliance programs as well as their sustainability, circular economy, and digital twin projects; to integrate material compliance programs into their core product development processes and reduce non-compliance risks and improve engineering efficiency.
Prior to that Dr. Xu was Ford Motor Company’s Global Materials Compliance Program Manager. Spearheading Ford’s Global Materials Management program in early 1997, he was one of the original OEM members who developed and launched the International Data Management System (IMDS) for the automotive industry in 2000. He was Ford’s global attribute leader for material/substance compliance and material life cycle management, and a member of Ford's Sustainability Council, managing both internal compliance and external suppliers’ compliance.
He also led Ford's cross-functional teams and developed various material compliance-related processes and IT tools for Ford since 1997. Furthermore, Dr. Xu was the owner of Ford’s Restrictive Substances Management Standard (RSMS) and the owner of the Ford’s internal material/substance compliance processes/tools.
He has served as chair and co-chair in several committees of leading industry organizations and work groups, such as the US Automotive Industry Action Group (AIAG)'s Chemical Management Advisory Group, the United States Council for Automotive Research (USCAR)'s Substances of Concern Group, the Global Automotive Declarable Substance List (GADSL)'s Steering Group; and he has supported projects of the US Environmental Protection Agency (EPA) on Alternative Assessments, and TSCA industrial data collection and evaluations.
