Bill & Melinda Gates Foundation

Artificial Intelligence

• 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

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