Jonathan Strong
About Jonathan Strong
Jonathan Strong serves as the Chief Technology Officer at Harvard Business School, a position he has held since 2021. He has extensive experience in technology leadership, having previously worked in various roles including Chief Information Officer at Veracuity LLC and DNA Diagnostics Center, and as a Council Member at Gerson Lehrman Group.
Current Role at Harvard Business School
Jonathan Strong serves as the Chief Technology Officer at Harvard Business School since 2021. In this role, he oversees the technological strategies and initiatives that support the institution's educational mission. His expertise in technology management is instrumental in enhancing the school's digital infrastructure and academic offerings.
Previous Experience at Veracuity LLC
Before his current position, Jonathan Strong held the role of Chief Information Officer at Veracuity LLC from 2019 to 2021. During his tenure, he was responsible for leading the company's information technology strategies and operations in Pennsylvania, USA. He also serves as an Advisor at Veracuity LLC since 2021.
Career at Gerson Lehrman Group
Jonathan Strong was a Council Member at Gerson Lehrman Group from 2006 to 2021. His long-term involvement with the organization highlights his commitment to providing expert insights and consulting services within various industries over a span of 15 years.
Educational Background
Jonathan Strong has an extensive educational background. He earned a Bachelor of Arts in Psychology and Cognitive Processes from the University of Pennsylvania, an MBA in Management and Finance from Drexel University, and a Master of Science in Modern Psychoanalysis from the Philadelphia School of Psychoanalysis. His diverse education supports his multifaceted career in technology and consulting.
Notable Projects and Innovations
Throughout his career, Jonathan Strong has been involved in several significant projects. He created a million-member online gaming site that achieved a #1 ranking by Comscore. Additionally, he built an AI-based risk model that helped a major bank identify $100 million in bad debt. His contributions to technology and finance have had a substantial impact on the organizations he has worked with.