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Jose Arrieta Resigns as HHS CIO

Jose Arrieta, Department of Health and Human Services (HHS) chief information officer (CIO), has resigned from his position with the agency, after spearheading the launch White House COVID-19 decisions system, FedScoop on reported Monday.

Arrieta was appointed to the role in May 2019. In the role, Arrieta provided leadership and oversight of the Department’s $6.3 billion IT portfolio in support of HHS’ expansive mission to enhance the health and well-being of Americans by providing for effective health and human services and by fostering sound, sustained advances in science underlying medicine, public health, and social services. 

He was also responsible for providing assistance and guidance on the use of technology-supported business process reengineering; investment analysis; performance measurement; strategic development and application of information systems and infrastructure; policies to provide improved management of information resources and technology; and better, more efficient service to our HHS clients and employees. 

Arrieta supervised the development of HHS-wide IT strategy with an immediate focus on cybersecurity, cloud computing, and emerging technology. In addition, Arrieta supplied advice and counsel to HHS’ secretary and deputy secretary, regarding plans to advance the agency’s mission through the use of transformative information technology approaches.

Prior to his departure, Arrieta supervised the development of HHS Protect, a health platform compiling data from more than 225 public and private systems to track and limit the spread of COVID-19.

Before his tenure with HHS, Arrieta served as the associate deputy assistant secretary for acquisition, acting deputy assistant secretary for the Office of Grants and Acquisition Policy and Accountability, the senior procurement official and the small business executive. 

In his previous roles, Arrieta successfully built and began to implement the first fully functioning blockchain coupled with artificial intelligence (AI) and machine learning (ML) for public procurement.

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