Generative AI enables companies to execute with speed
MIT Sloan student teams advise Pfizer, Comcast, and others on using data and generative AI to bring products to market and communicate with customers quickly.
Faculty
Jordan Levine is currently a lecturer at the Massachusetts Institute of Technology Master of Business Analytics program at the Sloan School of Management. Jordan supports a cohort of eighty students deliver analytics capstone projects to approximately 40 host companies and organizations.
He focuses his energy on supporting the scoping of the analytics problem statements and guiding the students to deliver the solutions. With respect to problem scoping, key activities include identifying host companies, translating host company requirements to problem statements, and data readiness assessment. With respect to supporting delivery, key activities include establishing milestones, conducting weekly lectures to guide the students through the milestones, and milestone assessment.
Prior to joining MIT, Jordan spent seven years at McKinsey & Company. The latter half of his time, he served as the global learning and development lead for analytics. There, he architected a strategy and oversaw a learning team that engaged ~4,000 McKinsey colleagues per year at the executive, manager, and technical talent levels. Key outcomes included the creation of a cohort of 1,000+ ‘Analytics Translators’ and the development of novel approaches to on-board and integrate analytics technical talent as well as assess their technical competence in a business environment. Prior to leading analytics learning, he was an engagement manager in the operations practice with a focus in supply chain management. Prior to his time at McKinsey & Company, Jordan was a communications officer in the United States Marine Corps.
Jordan holds a master’s degree in engineering from the Massachusetts Institute of Technology (MIT) and mathematics degree from the United States Naval Academy.
Sarris, George E., Daisy Zhuo, Luca Mingardi, Jack Dunn, Jordan Levine, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and Dimitris Bertsimas. The Annals of Thoracic Surgery Vol. 118, No. 1 (2024): 199-206.
Dorken-Gallastegi, Ander, Majed El Hechi, Maxime Amram, Leon Naar, Lydia R. Maurer, Anthony Gebran, Jack Dunn, Daisy Zhuo, Jordan Levine, Dimitris Bertsimas, and Haytham Kaafarani. Surgery Vol. 174, No. 6 (2023): 1302-1308.
Gimovsky, Alexis, Daisy Zhuo, Jordan Levine, Jack Dunn, Maxime Amram, and Alan M. Peaceman. Health Services Research Vol. 57, No. 4 (2022): 796-805.
Bertsimas, Dimitris, Daisy Zhuo, Jordan Levine, Jack Dunn, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and George E. Sarris. World Journal for Pediatric and Congenital Heart Surgery Vol. 13, No. 1 (2022): 23-35.
Gimovsky, Alexis C., Jaclyn M. Phillips, Molly Amero, Jordan Levine, and Vincenzo Berghella. The Journal of Maternal-Fetal & Neonatal Medicine Vol. 35, No. 25 (2022): 5520-5525.
Bertsimas, Dimitris, Daisy Zhuo, Jack Dunn, Jordan Levine, Eugenio Zuccarelli, Nikos Smyrnakis, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and George E. Sarris. World Journal for Pediatric and Congenital Heart Surgery Vol. 12, No. 4 (2021): 453-460.
MIT Sloan student teams advise Pfizer, Comcast, and others on using data and generative AI to bring products to market and communicate with customers quickly.
Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.