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Deputy Director, AI & Data Enablement Hub (2 Year LTE)
Gates Foundation
On-site
Washington, DC, United States
Full-time
$261,000 -
$405,000
About Gates 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.
About the 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.
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.
Qualifications
An advanced degree in a relevant field or equivalent demonstrated experience
Technical fluency and hands-on ability to engage as both leader and contributor.
Strategic foresight in AI and data science trends relevant to education and workforce.
Ability to prioritize and manage oversubscribed workflows effectively.
Creative and generative leadership that amplifies team energy and bold thinking.
Strong collaboration and coalition-building across organizational boundaries.
Skilled people manager who supports autonomy while driving accountability.
Capacity to engage in leadership team tradeoffs beyond their own portfolio.
Record of adapting strategy in response to evolving technical, political, and funding conditions.
Bring together and inspire team members with a diverse set of backgrounds, approaches, and beliefs to pursue a coherent long-term direction, and collaborate with the team on how to achieve it.
Thoughtfully plan, organize, and prioritize work of self and others in a fast-paced environment with multiple and competing demands, which requires ability to see the critical path, measure and mitigate risk, and make trade-offs.
Hold people accountable for their commitments, providing clarity and assisting when barriers arise; maintains the team’s focus on results, integrity, and impact.
Establish practices to reinforce independent and open communication among team members and other groups within the Data team and across US Program that contribute to the team’s work.
Experience engaging successfully with senior collaborators (Board of Directors, partner organization executives, etc.).
Thoughtfully communicates complex information and data in written and oral formats; synthesizes large volumes of information into clear recommendations and decisions; and advocates and communicates effectively with a broad and diverse audience.
Technical fluency and hands-on ability to engage as both leader and contributor.
Strategic foresight in AI and data science trends relevant to education and workforce.
Ability to prioritize and manage oversubscribed workflows effectively.
Creative and generative leadership that amplifies team energy and bold thinking.
Strong collaboration and coalition-building across organizational boundaries.
Skilled people manager who supports autonomy while driving accountability.
Capacity to engage in leadership team tradeoffs beyond their own portfolio.
Record of adapting strategy in response to evolving technical, political, and funding conditions.
Bring together and inspire team members with a diverse set of backgrounds, approaches, and beliefs to pursue a coherent long-term direction, and collaborate with the team on how to achieve it.
Thoughtfully plan, organize, and prioritize work of self and others in a fast-paced environment with multiple and competing demands, which requires ability to see the critical path, measure and mitigate risk, and make trade-offs.
Hold people accountable for their commitments, providing clarity and assisting when barriers arise; maintains the team’s focus on results, integrity, and impact.
Establish practices to reinforce independent and open communication among team members and other groups within the Data team and across US Program that contribute to the team’s work.
Experience engaging successfully with senior collaborators (Board of Directors, partner organization executives, etc.).
Thoughtfully communicates complex information and data in written and oral formats; synthesizes large volumes of information into clear recommendations and decisions; and advocates and communicates effectively with a broad and diverse audience.
Responsibilities
Drive 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 Foundation’s mission
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 Foundation’s mission
Benefits
As an organization, we offer various work arrangements, generous PTO, full healthcare premiums coverage, contribution to your retirement fund as well as other financial, wellness, and family benefits.
