Leidos wins US $2.9bn NASA IT services contract
NASA has awarded Leidos a contract to provide the agency with information technology end-user services.
The contract is for a two-year, three-month base period followed by by a two-year option, a one-year option, and five one-year award term options, with the deal worth a potential US$2.9 billion if all options are exercised.
“With its size, scope and scale, the NEST [NASA End-User Services and Technologies] contract is a marquee win for us,” said Angie Heise, Leidos Civil Group president.
“Our ultimate goal is to provide intuitive, easy-to-use services that efficiently prevent or resolve problems for the NASA community, enabling them to have seamless IT services for their critical missions.”
Under the contract, Leidos will provide, manage, secure and maintain essential IT services that "support the agency’s core business, scientific, research and computational activities".
The NEST contract will establish a long-term outsourcing deal with the commercial sector to provide and manage most of NASA's personal computing hardware, supporting infrastructure, agency standard software, mobile IT services, help-desk support and other associated end-user services.
NASA described the contract as "transformational" in the procurement documents.
“NASA desires to move from a traditional PC (thick client) to a model that is more flexible in addressing customer requirements,” the original solicitation said.
“We seek to achieve the goals of supporting the NASA workforce in a device agnostic, mobile friendly environment with built-in security and cloud-based resources. We envision a secure edge computing model similar to eBanking."
Leidos said its "highly-skilled team of technical experts will leverage their knowledge of NASA and US government policies, processes and technology to maximise automation and end user support management".
The company will ensure all NASA's systems are secure, during both regular maintenance as well as priority requirements for NASA's nationwide employees, as well as evaluating and analysing data using "predictive and descriptive analytics to implement data-driven practices that reduce call volumes, enhance self-service tasks, and ultimately improve customer satisfaction and experience".
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