Lead the data science, engineering, and insights work produced by the Data and AI Enablement Hub in support of the U.S. Program

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.

Skillset

• 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.

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