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Jay Huie

U.S. General Services Administration

2019 fellow

Jay Huie joined the White House Leadership Development Program to explore and explain the government’s ability to use information and information technology to deliver visibly better results, improve insight and accountability, and unlock the economic potential of federal data. His collaborative role includes innovative incubator funding models and identifying investments in people, policies, and processes. The Federal Data Strategy will articulate an integrated operating model for the entire government that encompasses all relevant governance, standards, infrastructure, and commercialization challenges of operating in a data-driven world.

Jay has spent over 20 years guiding the evaluation and adoption of technology within federal and enterprise environments. His multi-disciplinary expertise helps accelerate modernization activities, and his experience leading in both private sector and federal organizations provides a balanced perspective. Jay is passionate about taking ownership to deliver on the promise of technology to improve the delivery of quality services to users.

Previously, Jay served as the director for the GSA Secure Cloud Portfolio, which includes the FedRAMP program. Jay was also tasked with establishing the Cloud Adoption Center of Excellence, supporting the White House Office of American Innovation. Prior to joining federal service, Jay was a Chief Technology Officer, managing initiatives including data management services, cloud computing, and strategic governance for traditional and emerging technologies.

Jay has worked as a developer, system administrator, policy wonk, architect, and technology executive, on technologies as diverse as mainframes, cloud, and high performance computing. He is trained as a cybersecurity (CISSP) professional, and is certified in traditional project (PMP) and agile (SAFe) management. He has a degree in Computer Engineering from Case Western Reserve University, with a minor in Artificial Intelligence, and Data Science Specialization from Johns Hopkins University.

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