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Gary is Chief Information Officer at MoneyGram Haas F1 Team. Since 2016, Gary has overall responsibility for all Technology systems, digital platforms, services, teams and staff for the team's global operations, across multiple sites in the UK, US, Italy and trackside. Gary is part of the Senior Leadership Team, reporting into the Team Principal, GuentherSteiner. He is also the Chair and member of several business & operational committees responsible for strategy, operations, risk and governance.Gary began his career in 2005 as a Trackside Systems Support Engineer at CosworthTechnology. He then joined Honda Racing F1 for a brief period in 2008 as a Trackside Engineer before joining Brawn GP Formula One Team as a Senior Technical Systems Engineer. He played a key role in helping Brawn GP win the FIA Formula One World Championship in 2009. Gary then continued his career at Mercedes-Benz Grand Prix Limited, where he held various IT-related positions, during which time, Mercedes achieved back-to-back FIA Formula One World Championships in 2015 and 2016.Gary holds a number of positions outside his role at Haas F1, including a member of the board of trustees of SSNAP, a charity that offers support services to sick and premature babies and their parents around Oxfordshire. He is also a trustee at Tove Learning Trust, a multi Academy Education Trust.A Fellow of the British Computing Society, Gary has been recognised as one of the top 100CIO's in the UK for three years running.
More than any other sport, Formula One has embraced a data-driven business culture, particularly as regards its near obsession with marginal gains and continuous improvement. Starting in the late 1980s, teams began to develop the ability to gather, process, store, and utilise information streams in order to better manage risk, optimise performance and guarantee outcomes. Data acquisition and analytics are now a cornerstone technology, enabling drivers, trackside engineers, and headquarters staff to determine precisely how the car and driver are behaving, diagnose issues, resolve problems, and speed up decision-making. As information flows seamlessly around the globe, linking cars, teams, and factories, data security is essential, and robust systems ensure protection from multiple threats. The use of simulators has transformed driver training, enabling systems to be learned, tested, and developed in a virtual environment before real-world deployment. With the advent of additive manufacturing, machine learning, and AI across Formula One, the sport’s use of Big Data to transform all aspects of its operations is set to accelerate further.
