Matthew Smith

Matthew Smith

Senior Data Architect @ ECS

About Matthew Smith

Matthew Smith is a Senior Data Architect at ECS, specializing in data sharing strategies within the Department of Homeland Security. He has extensive experience in data management and technical services, having held various managerial roles at LG&E and KU Energy LLC and previously worked in IT support at Underwriters Safety & Claims.

Current Role at ECS

Matthew Smith serves as a Senior Data Architect at ECS, a position he has held since 2023. In this role, he focuses on data architecture within the Department of Homeland Security (DHS). His responsibilities include designing and implementing data solutions that enhance operational efficiency and support strategic initiatives.

Previous Experience at LG&E and KU Energy LLC

Matthew Smith held multiple managerial roles at LG&E and KU Energy LLC from 2013 to 2023. He served as Manager of Business Information Platforms from 2013 to 2017, followed by Manager of IT Shared Services from 2017 to 2021, and finally as Manager of Client Technical Services from 2021 to 2023. His tenure involved overseeing technical services and enhancing client support.

IT Support Experience at Underwriters Safety & Claims

Matthew Smith worked as IT Support at Underwriters Safety & Claims from 2001 to 2003 in the Louisville, Kentucky area. During this two-year period, he provided technical support and contributed to the IT operations of the organization.

Education and Academic Background

Matthew Smith studied at the University of Louisville, where he earned a Bachelor of Science in Computer Information Systems. He furthered his education by obtaining a Master of Business Administration (MBA) from the same institution, completing his studies between 2014 and 2016.

Achievements in Data Architecture and Strategy

Matthew Smith has been recognized as a thought leader in strategic data sharing direction within the Department of Homeland Security. He led efforts to transition data pipelines to serverless AWS technologies, significantly enhancing data processing efficiency.

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