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Senior Program Officer, Data & AI Infrastructure Integration

Job in Washington, District of Columbia, 20001, USA
Listing for: Gates
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Job Description & How to Apply Below

Senior Program Officer For Data & Ai Infrastructure Integration

The Foundation is 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 Data & AI Infrastructure 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 frontier AI labs and co-funders, and partnering with other teams within U.S. Program in using data and AI to drive equitable impact.

Your Role

As the Senior Program Officer for Data & AI Infrastructure Integration, you will be at the forefront of transforming the education-to-workforce data and AI ecosystem to advance equity and opportunity for all learners. In this critical role, you will build and integrate crucial public good infrastructure to support evidence-based AI-native data system implementation that strengthens data feedback loops—helping district and postsecondary leaders access timely insights and collaborate more effectively across sectors to improve long-term regional outcomes.

You are responsible for leading a research and development portfolio to test, co-develop, and refine integrated data and AI infrastructure solutions in real-world education and workforce contexts. You will design and lead iterative learning cycles at the intersection of the AI Infrastructure and System Feedback Loops (SFL) portfolios, generating actionable evidence about what conditions, infrastructure configurations, and integrated approaches accelerate impact for learners — particularly the most vulnerable populations.

You will apply mastery-level expertise in implementation research and education data systems, and a proactive, solutions-oriented perspective to navigate ambiguity and drive thorough, equity-centered inquiry in partnership with grantees, researchers, and cross-divisional colleagues.

What You'll Do

  • Design and lead a portfolio of implementation R&D investments that test integrated plays between the AI Infrastructure and System Feedback Loops portfolios in real-world education and workforce contexts where baseline AI, data, and organizational readiness conditions exist.
  • Generate actionable evidence on the key infrastructure changes that promote efficacy, identifying what conditions — technical, organizational, and governance-related — are vital for integrated data and AI solutions to work as intended and drive measurable outcomes for learners.
  • Design iterative learning cycles to assess whether integrated strategies accelerate progress toward division impact goals, and ensure findings are translated into concrete refinements to portfolio strategy and investment design.
  • Test and validate theories of implementation in real-world contexts, surface where assumptions hold and where they require revision and communicate findings to division leadership and portfolio leads with rigor and clarity.
  • Develop evidence and models that demonstrate benefits conferring beyond single localities or regions,…
Position Requirements
10+ Years work experience
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