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Bill & Melinda Gates Foundation

Senior Program Officer, Measurement, Learning, Evaluation

Bill & Melinda Gates Foundation

Senior Program Officer managing measurement and evaluation within the Gates Foundation. Overseeing evidence strategies, evaluations, and partnerships to enhance education-related initiatives.

Posted 7/15/2026full-timeSeattle • District of Columbia, Washington • 🇺🇸 United StatesSenior💰 $173,000 - $259,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and leading rigorous evaluations, particularly in AI-enabled environments, while effectively managing portfolios and partnerships. Capable of translating complex evidence into actionable insights to influence strategy and ensure alignment with educational outcomes.

Highest-signal resume keywords
Advanced Degree In EducationRigorous Evaluation DesignAI-Enabled Evaluation MethodsPortfolio Management ExperienceEquity-Centered Evaluation Practices

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Experimental EvaluationQuasi-Experimental EvaluationMixed-Methods ApproachesHuman-AI Interaction EvaluationSystem Performance AssessmentData AnalysisEvidence TranslationOutcome Measurement
Soft Skills
Clear CommunicationAdaptabilityInfluencing StrategyTeam CollaborationProblem-Solving
Tools & Technologies
AI-Driven Decision SupportData Infrastructure
Industry Keywords
Postsecondary EducationEvidence StrategyEvaluation PracticesLearner OutcomesEquity Orientation

About the role

Key responsibilities & impact
  • Steward existing evidence strategy across the Digital Holistic Student Supports portfolio, ensuring alignment with solution development and scaling goals
  • Lead an active portfolio of grants and contracts, ensuring continuity, quality, and timely execution of evidence-building activities
  • Identify and raise risks, gaps, and opportunities, and support appropriate adjustments to keep portfolio measurement and evaluation activities on track
  • Be responsible for evaluation approaches (implemented through grants, contracts, and partners) to ensure high-quality execution and alignment with established evidence strategy
  • Monitor and assess AI system performance and real-world use, including adoption, reliability, and appropriate reliance on AI-driven decision support
  • Identify and flag risks, gaps, and contextual constraints (e.g., data infrastructure, institutional readiness) that may affect system performance and downstream outcomes
  • Lead and be responsible for external evaluations (e.g., RCTs, quasi-experimental studies, etc.) to assess impact on downstream learner outcomes such as credit accumulation, persistence, and other measures of education progression and success
  • Ensure alignment between embedded product metrics and validated education outcomes, identifying risks and gaps in measurement approaches
  • Stay current on and apply emerging AI-enabled evaluation approaches and apply them as appropriate to support ongoing work
  • Collaborate with internal teams and external partners to advance evaluation methods and practices across the Postsecondary strategy and US Program division
  • Lead key partnerships and serve as a primary point of contact for measurement- and evaluation-related work, ensuring continuity and strong feedback loops
  • Translate complex evidence into clear, decision-relevant insights to support leadership and ongoing investment decisions
  • Support existing learning routines and business rhythms, ensuring Digital Holistic Student Supports team can effectively use data and evidence to stay on track
  • Contribute flexibly across portfolios where product or system evaluation needs are highest, consistent with a team-first, impact-oriented approach
  • Promote equity-centered evaluation practices, including attention to differential impacts across learner populations
  • Support inclusive, high-performing team culture through modeling behaviors and actions; raise issues in a timely fashion to appropriate partners

Requirements

What you’ll need
  • Advanced degree or equivalent experience in education, evaluation, or a related field
  • Significant experience designing and leading rigorous evaluations, including experimental, quasi-experimental, and mixed-methods approaches
  • Experience evaluating human-AI interaction and system performance in complex, real-world environments
  • Experience applying AI-enabled evaluation methods, including using product and AI-generated data, assessing system performance for accuracy, bias, and reliability, and connecting those measures to real-world learner outcomes
  • Portfolio and partner management experience, including managing external evaluators, making strategic tradeoffs, and working effectively across sophisticated, multi-stakeholder environments
  • Demonstrated ability to adapt priorities in ambiguity, communicate clearly about what is known and uncertain, and stay focused on measurable outcomes and highest-impact work
  • Proven ability to translate complex evidence into clear, decision-relevant insights, influence strategy and investment decisions, and contribute to broader field learning
  • Strong equity orientation, including designing and interpreting evidence to examine how opportunity and impact vary across populations
  • Comfort operating in dynamic, AI-enabled environments and adapting approaches as technologies and strategies evolve
  • Must have unrestricted work authorization in the country where this position is located

Benefits

Comp & perks
  • comprehensive medical, dental, and vision coverage with no premiums
  • generous paid time off
  • paid family leave
  • foundation-paid retirement contribution
  • regional holidays
  • opportunities to engage in several employee communities