Senior Officer, Measurement, Learning, and Evaluation - US Program Data & AI; LTE
Listed on 2026-09-21
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IT/Tech
Data Analyst, Business Intelligence, AI Engineer (Applied/Software), Data Scientist
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 TeamThe Data & AI 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 people who support them will be empowered by safe, evidence-based, AI-enabled solutions that deliver personalized experiences and universally recognized skills, so they can 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‑founders, and partnering with other teams within U.S. Program in using data and AI to drive equitable impact.
You are responsible for leading the Data & AI team’s measurement, learning, and evaluation (MLE) function as a core member of the Data & AI Enablement Hub. You define and track strategy and portfolio progress through rigorous evaluation design, impact accounting, and evidence synthesis—ensuring insights are actionable and continuously improve investment decisions across the team. You bring mastery‑level expertise in MLE methods and applied tooling, including dashboard development, predictive modeling support, and AI‑assisted analytics, with dedicated MLE support to the System Feedback Loops portfolio alongside team‑wide responsibilities.
This position is a limited‑term position for 24 months. Relocation support can be provided depending on the circumstances.
What You’ll Do- Define and track progress toward strategy and portfolio goals through clear target‑setting, performance indicators, and evaluation design; lead evaluations to test key hypotheses and assumptions underlying the team’s investments.
- Design and build interactive performance dashboards that visualize strategy and portfolio progress, bringing rigorous analytical thinking to support decision‑making across the team and with leadership.
- Develop and evolve predictive and evaluative impact accounting frameworks; apply effect‑size extraction, scenario analysis, and cost‑effectiveness approaches to support investment decisions.
- Analyze, synthesize, and communicate findings from evaluations, research, and pilots to inform strategy refinement, planning, and trade‑off decisions, translating complex evidence into clear, actionable insights for diverse audiences.
- Provide support to specific portfolios, including evaluation design, hypothesis testing, and progress reporting for grants and investments.
- Consult with program officers, grantees, and partners to ensure grants produce the data and evidence needed to measure strategy progress; scope and manage evaluations with external partners as needed.
- Facilitate team strategy learning by sharing insights, data, and recommendations with the Data & AI team and other program strategy teams to strengthen…
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