Teams at GiveDirectly

Supports rapid A/B testing across GiveDirectly programs by designing experiments, conducting power calculations, preparing high-quality datasets, analyzing results, and translating findings into actionable recommendations. The role coordinates with Programs, Product, Research teams, and external academic partners, manages multiple concurrent experiments, prepares learning products and de-identified datasets, and helps apply evidence across country programs. The position is remote from Rwanda with regular East Africa travel.

Develop and standardize analytical methods for inferring residence, displacement, and poverty from mobile network operator data. Assess data quality, write technical specifications and tests, guide operator engineering teams, tune statistical methods, and balance accuracy with implementation constraints. Design privacy-preserving analyses, improve data security practices, train internal teams, and support international workshops and emergency-response programs.

Build GiveDirectly’s talent management function across performance management, onboarding, manager and leadership development, employee listening, engagement, talent planning, succession, and culture. The role will redesign and implement a global performance system linked to pay, ensure fair calibration across countries, revamp onboarding, establish manager programs, plan leadership values initiatives, and develop a multi-year talent management roadmap. This is a hands-on director-level role requiring experience building programs in growing, international organizations.