Grant Lee
About Grant Lee
Grant Lee serves as the Head of Geospatial Business Development at SafeGraph, where he focuses on developing truth data sets for machine learning and AI. He has a strong background in business development and has previously held leadership roles at companies like Liveramp and Kespry.
Work at SafeGraph
Grant Lee serves as the Head of Geospatial Business Development at SafeGraph since 2018. In this role, he focuses on developing truth data sets that support machine learning, deep learning, and artificial intelligence applications. His work emphasizes the importance of geospatial data and human movement analytics, contributing to the company's mission of providing accurate and reliable data solutions.
Education and Expertise
Grant Lee holds a Master of Business Administration from Stanford University Graduate School of Business, where he studied from 2013 to 2015. He also earned a Bachelor of Arts in History from Brown University, completing his degree from 2004 to 2008. His educational background equips him with a strong foundation in business principles, which he applies in his professional endeavors.
Background
Before joining SafeGraph, Grant Lee accumulated extensive experience in business development and strategic partnerships within the tech industry. He worked at Liveramp, an Acxiom Company, as Vice President of Business Development from 2010 to 2013. He also held the position of Vice President of Sales, Sales Operations, and Strategy at Kespry from 2015 to 2018. Additionally, he worked as a Business Consultant at Eze Software Group from 2008 to 2010 and briefly at Amazon in strategic business development in 2014.
Strategic Partnerships and Innovations
Grant Lee has played a significant role in forming strategic partnerships with companies such as Liveramp and Kespry. His efforts have been instrumental in driving analytics innovation, particularly in the areas of geospatial data and human movement analytics. These partnerships enhance the capabilities of the organizations involved and contribute to advancements in data-driven decision-making.