US Federal News Bureau

USAID is Hiring a CDO for its Washington DC HQ

The incumbent will oversee responsibilities related to the acquisition of hardware, software, and information systems.

avatar

Written by: CDO Magazine Bureau

Updated 4:29 PM UTC, Mon January 29, 2024

post detail image

The U.S. Agency for International Development (USAID) is in the process of hiring a Chief Data Officer (CDO). The position is located in the Bureau for Management, Office of the Chief Information Officer (CIO) at USAID headquarters in Washington, DC.

“The incumbent leads, coordinates, communicates, integrates, and is accountable for the overall success of the program, ensuring alignment with agency or enterprise priorities. Applies knowledge of data, information, processes, organizational interactions, skills, and analytical expertise, as well as systems, networks, and information exchange capabilities to manage acquisition programs,” the job listing said.

Moreover, the Chief Data Officer will oversee responsibilities related to the acquisition of hardware, software, and information systems, along with other program management policies.

The role involves offering direct assistance for acquisitions involving information technology (IT), including National Security Systems. The CDO at USAID is tasked with implementing IT-related laws and policies while providing guidance on IT matters throughout the entire acquisition life cycle.

USAID is an autonomous federal agency guided by foreign policy directives from the Secretary of State. Operating in over 100 countries, USAID plays a crucial role in advancing US foreign policy interests globally.

Meanwhile, the U.S. Department of Energy (DOE)’s National Nuclear Security Administration is also looking for an AI expert to serve in the position of data scientist. To be eligible, one must have extensive knowledge of data science; machine learning (ML), and artificial intelligence (AI) concepts, principles, and limitations; and the ability to apply these concepts.

“These theories, principles, and methods include, but are not limited to, supervised, unsupervised, semi-supervised, reinforcement, and adversarial learning methods, natural language processing, and neural networks,” the job posting highlighted.

Related Stories

July 16, 2025  |  In Person

Boston Leadership Dinner

Glass House

Similar Topics
AI News Bureau
Data Management
Diversity
Testimonials
background image
Community Network

Join Our Community

starStay updated on the latest trends

starGain inspiration from like-minded peers

starBuild lasting connections with global leaders

logo
Social media icon
Social media icon
Social media icon
Social media icon
About