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ALG Head of Impact

1 hour, 37 minutes ago
Anywhere, Africa, United States, Tanzania, Kenya, South Africa
Full-time
Lead
Data Analyst
Data Science and Analytics
Statistics
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ALU

ALU

ALU is a global company providing turnkey solutions and custom products to diverse industries worldwide.

Specialty Retail
251-1K
Founded 1987
View All Jobs 23

Description

  • Build ALG’s impact methodology, governance, dashboards, validation partnerships, and public-facing evidence infrastructure.
  • Define what impact claims can be made internally, to donors, and for external publication or independent validation.
  • Lead rigorous evaluation efforts, including RCTs, quasi-experimental studies, tracer studies, longitudinal research, surveys, and mixed-methods evaluation.
  • Select appropriate research methods for different programs, geographies, and questions while balancing rigor and speed.
  • Build partnerships with external validators, researchers, economists, evaluation firms, academic institutions, and research labs.
  • Strengthen data pipelines, verification systems, and quality controls across surveys, platform data, CRM tools, employer feedback, alumni updates, and digital trace data.
  • Create audit-ready governance processes, including anomaly detection, documentation, internal controls, and ownership for core metrics.
  • Translate impact data into decision-making tools, donor materials, white papers, reports, and thought leadership.
  • Partner with fundraising, product, engineering, operations, learning, and communications teams to embed impact measurement across the organization.
  • Lead, grow, and shape the Impact Team and serve as a senior advisor on evidence quality, data risks, and external communication.

Requirements

  • 10+ years of relevant experience in impact evaluation, applied research, economics, workforce development, education outcomes, labor market analytics, social impact strategy, data science, or a related field.
  • Deep expertise in rigorous impact methodology, including RCTs, quasi-experimental methods, causal inference, longitudinal studies, tracer studies, sampling, survey design, mixed-methods research, and evaluation design.
  • Experience designing, managing, commissioning, or partnering on external evaluations with academic researchers, research organizations, foundations, multilaterals, or independent evaluators.
  • Strong understanding of education-to-employment, workforce development, economic mobility, youth employment, entrepreneurship, income lift, household outcomes, or labor market transitions.
  • Strong data fluency, including dashboards, data pipelines, data warehouses, CRM systems, survey platforms, product analytics, and data quality processes.
  • Ability to translate complex research and methodology into clear materials for donors, boards, executives, governments, employers, and public audiences.
  • Experience working cross-functionally with product, data, engineering, operations, learning, fundraising, communications, and senior leadership teams.
  • Strong written communication skills for methodology notes, donor briefs, board materials, impact reports, white papers, and thought leadership.
  • Excellent judgment on evidence quality, including when to use gold-standard evaluation methods, pragmatic approaches, and how to communicate uncertainty or limitations.
  • Proven ability to lead teams, build systems, manage ambiguity, and operate effectively in fast-moving, entrepreneurial environments.
  • Strong ethical grounding around data privacy, consent, responsible AI, equity, transparency, and avoiding overclaiming impact.
  • Preferred: experience with organizations such as J-PAL, IDInsight, Opportunity Insights, Jobs for the Future, Burning Glass / Lightcast, One Acre Fund, GiveDirectly, 60 Decibels, IPA, MDRC, Mathematica, the World Bank, major foundations, or high-growth social enterprises.
  • Preferred: advanced degree in economics, public policy, statistics, education, data science, development studies, social science, or another quantitative or evaluation-focused field.
  • Preferred: experience in Africa or other emerging markets, especially in education, skilling, workforce development, entrepreneurship, youth employment, or economic mobility.
  • Preferred: experience building or scaling an impact, MERL, research, data, evidence, or learning function inside a growing organization.
  • Preferred: experience supporting major fundraising, donor diligence, institutional reporting, or evidence-building for large philanthropic, bilateral, multilateral, or government funders.
  • Preferred: experience with labor market data, employer-reported outcomes, wage data, financial transaction data, LinkedIn or other digital trace data, and/or longitudinal learner tracking.
  • Preferred: familiarity with AI-enabled data systems, product analytics, data governance, technology-enabled monitoring and evaluation, or impact intelligence platforms.
  • Preferred: experience publishing or contributing to externally credible research, white papers, field-building reports, policy briefs, or public-facing thought leadership.
  • Preferred: experience translating evaluation findings into program design, learner support interventions, product improvements, or strategic decisions.
  • Preferred: familiarity with workforce credentials, skills-based hiring, digital skilling, AI-era labor market shifts, or education-to-employment pathways.
  • Preferred time zone overlap with Africa- and US-friendly working hours, ideally GMT +2 / SAST / CAT / EAT, with occasional nights and weekends as needed.

Benefits

  • Africa- and US-friendly working hours with preferred overlap in GMT +2 / SAST / CAT / EAT.
  • Flexibility to collaborate across global teams, with occasional nights and weekends depending on location.
  • Opportunity to work in a highly virtual, internationally distributed environment.
  • Encouragement and support to continually develop your capabilities and attain certifications.

Interested in this position?

Apply directly on the company website

Apply Now

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