Evidence Action
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Lead MLE strategy for MMS and IFA programs: design global MLE frameworks and country strategies, oversee large-scale primary data collection and analysis, lead implementation research, translate findings for program/donor decision-making, manage budgets and one direct report, and provide cross-country technical leadership.
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Support monitoring, evaluation, and learning (MLE) execution for 1-2 country programs, handling data collection, quality assurance, and analysis.
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The Manager of AI Strategy & Adoption will lead Evidence Action's AI efforts, managing the AI roadmap, external partnerships, and promoting AI use across teams. Responsibilities include advising leadership, overseeing AI pilots, and monitoring adoption metrics.
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Oversee the In-Line Chlorination Innovation Team, design and execute field pilots, manage data reliability, and document findings for scaling innovations in safe drinking water access.
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The Senior Associate will coordinate and deliver technical assistance for deworming projects in Oyo, managing stakeholder relationships and ensuring program quality and budget oversight while supporting monitoring and evaluation efforts.
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The FP&A Specialist will maintain data integrity in Planful, administer financial systems, handle reporting and analysis, support planning cycles, and ensure effective financial reporting and variance analysis for Evidence Action's operations across multiple regions.
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The role involves designing and scaling people operations, improving recruitment processes, maintaining high talent density, developing performance systems, and fostering a positive culture for an AI initiative focused on alleviating poverty in low-income countries.
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This role involves architecting finance and operations for a new AI-focused organization, managing financial systems, compliance, and external partnerships, while ensuring scalability and operational excellence.
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Lead the design and execution of the Agriculture portfolio, focusing on AI-enabled weather forecasting for smallholder farmers. Build partnerships with governments and delivery partners, oversee program scaling, and ensure high-quality delivery of AI-driven services.
