Anis Ghossain
About Anis Ghossain
Anis Ghossain is the Director of Global Product Development & Supply Analytics - Emerging Capabilities at Bristol Myers Squibb, with extensive experience in supply chain analytics and engineering.
Company
Anis Ghossain is currently employed at Bristol Myers Squibb, a global biopharmaceutical company. In his role as Director, Global Product Development & Supply Analytics - Emerging Capabilities, he focuses on driving innovation in the product development and supply chain sectors.
Title
Anis Ghossain is the Director of Global Product Development & Supply Analytics - Emerging Capabilities at Bristol Myers Squibb. He previously held various positions within the same company, including Associate Director of Enterprise Supply Chain Analytics and Senior Manager of Global Supply Chain Analytics and Data Science.
Education and Expertise
Anis Ghossain holds a Master of Business Administration (M.B.A.) in Analytics and Information Management/Supply Chain Management from Rutgers Business School, achieved between 2014 and 2017. Additionally, he earned a Bachelor of Engineering (BE) in Electromechanical Engineering from Saint Joseph University in Beirut, Lebanon, graduating in 2011. His educational background has equipped him with substantial expertise in supply chain management, analytics, and electromechanical engineering.
Professional Background
Anis Ghossain's career spans various roles in engineering and supply chain analytics. He started as an Assistant Engineer Trainee at Mimosa Sanitary Paper Co. in Lebanon and later worked in project engineering roles at RO Engineers & Architects and Worth Construction Co., Inc. His tenure at Bristol Myers Squibb includes roles such as Global Logistics Analyst, Transport Specialist, Senior Manager in Global Supply Chain Analytics and Data Science, and Associate Director of Enterprise Supply Chain Analytics.
Achievements
Throughout his career, Anis Ghossain has led the implementation of data-driven strategies to streamline supply chain processes and mitigate risks. He has developed expertise in leveraging analytical tools for identifying supply chain bottlenecks and applying machine learning algorithms and data visualization techniques to uncover actionable insights. His ability to bridge technical expertise with business acumen has been a key factor in his success across various engineering and supply chain projects.