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Deputy Director, AI & Data Enablement Hub; LTE

Job in Washington, District of Columbia, 20022, USA
Listing for: Bill & Melinda Gates Foundation
Seasonal/Temporary, Contract position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Deputy Director, AI & Data Enablement Hub (2 Year LTE)

Overview

The Foundation

We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities.

As a workplace, we’re committed to creating an environment for you to thrive both personally and professionally.

The Team

USP Data team works to unlock the full potential of data and artificial intelligence to improve educational and economic outcomes. Our vision is that by 2045, all learners and the adults who support them are empowered by safe, evidence-based, AI-enabled solutions that deliver personalized experiences and universally recognized skills – enabling them to navigate pathways, move across institutions, and thrive in meaningful work.

To achieve this, we invest in three catalytic areas: AI solution enablement, trusted evidence for AI in education, and dynamic feedback systems. We amplify this work through investing in focus geographies, driving strategic partnerships with hyperscalers and co-funders, and supporting other teams within U.S. Program in using data and AI to drive equitable impact.

This position is a limited-term position for 24-months. Relocation will be provided

Your Role

The Deputy Director, AI & Data Enablement Hub leads the data science, engineering, and insights work produced by the Data and AI Enablement Hub in support of the U.S. Program. This role combines hands-on technical contribution with strategic leadership of a high-performing team.

The Deputy Director manages a dynamic portfolio of data and analytics projects that strengthen decision-making, improve investment quality, and enhance predictive and measured outcomes across the division. They will set priorities based on demand from across USP, guide innovation in methods and tools, and champion the creation of public goods that advance the responsible and equitable use of data and AI.

As a member of the Data & AI leadership team, the Deputy Director contributes to cross-team strategy, drives collaboration, and models an inclusive and learning-oriented culture.

What You’ll DoDrive Collaboration, Learning, and Innovation
  • Lead the development and delivery of data science and analytics projects that generate actionable insights for USP strategies and partners.
  • Cultivate a culture of curiosity, learning, and iteration within the Data & AI Enablement Hub, promoting experimentation and evidence-based decision-making.
  • Partner with internal teams to align priorities, co-design projects, and integrate insights into strategy and investment processes.
  • Advance the team’s technical capacity by fostering continuous learning and knowledge exchange across analytics, data engineering, and AI domains.
Foster Strategic Partnerships and Ecosystem Leadership
  • Build and maintain partnerships with academic, nonprofit, and industry collaborators to expand access to data, methods, and tools that advance equity in education and workforce outcomes.
  • Serve as a foundation representative and thought leader in forums related to data science for social impact, evidence-based decision-making, and responsible AI.
  • Promote public good creation through open data assets, reproducible analytics, and cross-sector collaboration.
Lead People and Culture
  • Manage and develop a team of data scientists, engineers, and analysts, fostering an inclusive and high-performing environment.
  • Model equitable decision-making, inclusive behaviors, and actions; address issues and feedback in a timely and constructive manner.
  • Empower staff with autonomy while ensuring accountability to results and alignment with strategic priorities.
  • Ensure enabling conditions for talent to thrive and contribute meaningfully to the…
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