Ian joined Studley (now Savills Studley) in 2005 as a member of the Corporate Services Group (“CSG”), a team that bridges the worlds of commercial real estate, corporate finance and management consulting. His prior background in computer science, technology and finance compliments his team’s quantitative strategic planning approach and financial consulting services, particularly as it relates to clients’ mission critical facilities and complex headquarters transactions.
Ian’s experience with critical power acquisition, as well as his expertise with scenario modeling and financial analysis, has placed him in an integral role within CSG and as one of the practice leaders of Studley’s Critical Facilities Group (“CFG”), working on some of Savills Studley’s largest and most complex transactions. He has helped his team continue its long record of successfully integrating tenant and landlord objectives to create optimal financial structures and solutions for occupiers and users of space, power and connectivity.
Ian has gained national experience implementing portfolio-wide strategies with a focus on data center and headquarters transactions. Recent experience includes: 25MW data center for Anthem in Virginia; 7MW for SunGard Availability Services in Toronto, New Jersey and Boston; restructure of 1.4M SF nationally for ABB; and 1.2MW in New Jersey for Verisk Analytics. Additional highlights include a 4.5MW data center and 560,000 SF build-to-suit campus for Brocade in Silicon Valley, 2MW for HP, and numerous specialty HQ assignments for a variety of client types, including Harman, E! Entertainment Television, FOX, Invesco, and Acorda Therapeutics.
Ian serves on the board of University Settlement. He has volunteered with New York Cares, as well as The TEAK Fellowship, where he taught chess to gifted New York City seventh and eighth graders from low-income families.
In 2008, he was honored as Savills Studley’s “Rookie of the Year” for his contributions to his team and the firm.
Ian graduated with a Bachelor of Science in computer science from Columbia University.
50 MW / 10 million SF