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This job expired on 24/09/2026. It no longer accepts applications.
Associate Director, Right‑Fit Evidence Unit
Innovations for Poverty Action (IPA) · Kampala
Job description
About the role
Innovations for Poverty Action’s Right‑Fit Evidence (RFE) Unit helps development and humanitarian organisations turn data into decisions. The Associate Director leads a portfolio of evidence‑and‑learning advisory engagements, designs learning strategies, builds M&E systems and connects evidence to real‑world outcomes.
Key responsibilities
- Lead delivery of a portfolio of advisory engagements (65‑75% of time), managing multiple complex projects across sectors such as health, education, agriculture and technology.
- Design and facilitate workshops on theory of change, learning plans and other evidence‑related deliverables.
- Provide technical assistance for learning plans, cost‑effectiveness analyses, A/B testing and strengthen MEL systems.
- Support funders—from individuals to global foundations—on grantmaking, initiative design and portfolio‑level learning.
- Mentor and manage a team of managers and advisors, overseeing performance and professional development.
- Contribute to business development, thought leadership and external relationship management (15‑20% of time).
Required profile
- Master’s degree in international public policy, development economics or related field; PhD or MBA welcomed.
- Minimum 7 years of relevant experience managing complex engagements with senior stakeholders.
- Proven track record in business development, strategy shaping and people management.
- Extensive experience designing and managing evidence, learning, monitoring and evaluation systems in low‑ and middle‑income countries.
- Strong stakeholder management, client‑facing communication and ability to travel up to 20%.
- Fluent English (written and verbal); additional French or Spanish is a plus.
Required skills
- SurveyCTO, ODK, Taroworks for data collection.
- Salesforce and other management information systems.
- Power BI, Tableau and SQL for data visualization and analysis.
- Data‑science and AI‑related techniques, including cost‑effectiveness analysis and A/B testing.
- Experience with randomized controlled trials (RCTs).
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Innovations for Poverty Action (IPA)
Kampala
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