Head of Impact

About the Company

The African Leadership Group (ALG) is a family of mission-aligned institutions building one of the world’s most ambitious pipelines of ethical, entrepreneurial talent. Founded by Fred Swaniker, ALG is working toward a bold mission: developing 3 million leaders by 2035 through education and career pathways that identify and develop overlooked potential.

Responsibilities

• Build the evidence and trust architecture, including methodologies, systems, and validation partnerships to make impact claims credible.
• Design and lead a rigorous research and evaluation agenda using RCTs, quasi-experimental studies, and longitudinal research.
• Partner with Data, Product, and Engineering teams to embed impact measurement across the entire learner journey.
• Develop donor-facing collateral and thought leadership, such as white papers and impact reports.
• Lead and evolve the Impact Team, building capabilities in evaluation, data quality, and analytics.
• Serve as a senior advisor to leadership on impact claims, data risks, and external validation.

Requirements

• 10+ years of experience in impact evaluation, applied research, economics, or workforce development.
• Deep expertise in RCTs, quasi-experimental methods, causal inference, and survey design.
• Experience managing external evaluations with academic researchers or research organizations.
• Strong data fluency with experience in dashboards, data pipelines, and CRM systems.
• Proven ability to translate complex research into clear materials for donors and executives.
• Experience working cross-functionally in fast-moving, entrepreneurial environments.
• Strong ethical grounding regarding data privacy and transparency.

Preferred Qualifications

• Advanced degree in economics, public policy, statistics, or a related quantitative field.
• Experience with organizations like J-PAL, IDInsight, or the World Bank.
• Experience in Africa or other emerging markets.
• Experience building or scaling an impact or MERL function within a growing organization.
• Familiarity with AI-enabled data systems and labor market data.