Senior Officer, Measurement, Learning, and Evaluation – US Program Data & AI

Bill & Melinda Gates Foundation

. Lead the Data & AI team’s measurement, learning, and evaluation function as a core member of the Data & AI Enablement Hub .

Posted 9/17/2026full-timeSeattle • Washington • United StatesSenior💰 $190,300 - $285,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates mastery-level knowledge in measurement, learning, and evaluation methodologies, with a strong focus on quantitative and qualitative evaluation methods. Proficient in designing interactive dashboards and applying AI-assisted tools to enhance analytical workflows and reporting.

Highest-signal resume keywords

Measurement, Learning, And EvaluationEvaluation DesignImpact AnalysisData Dashboard DevelopmentEquity-Centered Approaches

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative Evaluation MethodsQualitative Evaluation MethodsEffect-Size ExtractionCost-Effectiveness AnalysisScenario ModelingTheory Of Change DevelopmentLogic ModelingData AnalysisEvidence SynthesisHypothesis Testing

Soft Skills

CommunicationCollaborationConsultationFacilitationInsight Sharing

Tools & Technologies

AI-Assisted ToolsInteractive DashboardsPerformance IndicatorsDigital Technologies

Industry Keywords

Education ResearchPublic PolicyEconomicsStatisticsWorkforce DevelopmentTargeted Universalism

About the role

Key responsibilities & impact

Lead the Data & AI team’s measurement, learning, and evaluation function as a core member of the Data & AI Enablement Hub
Define and track strategy and portfolio progress through target-setting, performance indicators, and evaluation design
Lead evaluations to test hypotheses and assumptions underlying team investments
Design and build interactive performance dashboards
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
Provide evaluation design, hypothesis testing, and progress reporting for grants and investments
Consult with program officers, grantees, and partners to ensure grants produce data and evidence needed to measure strategy progress
Scope and manage evaluations with external partners
Facilitate team strategy learning and share insights, data, and recommendations across teams
Leverage AI tools and digital technologies to streamline MLE workflows and improve reporting and evidence synthesis
Engage in division- and foundation-wide MLE learning communities
Represent the team’s MLE approach in cross-foundation forums
Apply an equity-centered lens to evaluation design and evidence synthesis
Support inclusive culture and escalate issues to appropriate stakeholders

Requirements

What you’ll need

An advanced degree or equivalent demonstrated experience, preferably in education research, public policy, economics, statistics, or a related field
Significant experience in measurement, learning, and evaluation within complex programmatic or research environments
Experience with evaluation design, impact analysis, and evidence synthesis
Mastery-level knowledge of quantitative and qualitative evaluation methods
Knowledge of theory of change development, logic modeling, effect-size extraction, cost-effectiveness analysis, and scenario modeling
Experience translating evaluation findings and data insights into accessible narratives and visualizations for varied audiences
Experience building interactive data dashboards
Experience applying AI-assisted tools to analytical workflows and reporting
Experience managing external evaluation partnerships, including scoping, contracting, and oversight of third-party evaluators and research partners
Mastery-level knowledge of the U.S. education or workforce development field
Understanding of equity-centered approaches and frameworks such as Targeted Universalism
Must have unrestricted work authorization in the country where this position is located
The Foundation does not provide immigration-related sponsorship for this role
Employment contingent upon successful completion of a background check

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
Relocation support can be provided depending on circumstances
Accommodation support during the hiring process