
Director, Program Innovation & Evidence
Posted Sep 9

Posted Sep 9
This is a fully remote position, open to applicants in United States.
β’ Take ownership of forecast message testing through A/B testing across various formats, framing, and delivery methods.
β’ Explore and initiate new delivery channels for forecasts such as chatbots, WhatsApp, SMS, and social media.
β’ Evaluate channel reach, costs, and effectiveness in comparison to current channels.
β’ Supervise the creation of innovative forecasts in collaboration with academic partners.
β’ Manage a strategic roadmap for prioritizing, developing, and benchmarking new forecasts.
β’ Potentially recruit and supervise post-doctoral students to assist with model benchmarking or dataset development.
β’ Coordinate monitoring and evaluation activities with in-country teams.
β’ Identify program enhancements based on insights from monitoring and evaluation.
β’ Lead and revise cost-effectiveness analyses for agricultural programs.
β’ Analyze new directions for the agriculture portfolio, including benchmarking, advisory services, and new types of interventions.
β’ Establish and nurture relationships with academic institutions, research organizations, delivery partners, and agricultural entities.
β’ Create best practices and replicable public-good toolkits.
β’ Disseminate insights through toolkits, blogs, and various public-good resources.
β’ Report directly to the VP of Agriculture.
β’ Provide leadership to personnel, including managing at least one senior manager.
β’ 7-10+ years of experience as a builder in international development, consulting, or a related agricultural organization.
β’ Proven experience in designing and conducting randomized or quasi-experimental evaluations (RCTs, A/B tests, or similar), particularly to assess behavior change.
β’ A strong history of translating evaluation findings into product or program improvements.
β’ Demonstrated ability to significantly scale organizations and/or programs to achieve impact at scale, ideally in close collaboration with national governments.
β’ Training or early career experience in a rigorous environment, such as top-tier management consulting, high-growth NGO program leadership, or strategy/economic research.
β’ Ability to quickly familiarize oneself with new technical areas, including AI/ML forecasting concepts.
β’ Proven success in leading international development programs from concept to large-scale implementation.
β’ Experience managing coalitions involving multiple stakeholders, including governments, research institutions, NGO implementers, and private sector partners.
β’ A track record of being an effective people manager and team builder.
β’ High emotional intelligence (EQ) and the capacity to influence diverse partners.
β’ Strong proficiency with AI tools.
β’ Comfort with uncertainty and rapid iteration.
β’ Excellent written and oral communication skills.
β’ Ability to distill complex technical concepts, including AI/ML weather forecasting language, into concise narratives.
β’ Willingness and ability to travel extensively internationally (~20%) to India and other low- and middle-income countries.
β’ A passion for ensuring that cutting-edge AI benefits reach the world's poorest populations while minimizing potential risks.
β’ Role location is flexible and can be anywhere within the United States for fully remote candidates.
β’ Must be legally authorized to work in the U.S.; Evidence Action cannot sponsor or assume sponsorship of a U.S. employment visa.
β’ International healthcare.
β’ HSA/FSA options.
β’ Life insurance.
β’ Disability coverage.
β’ Retirement plans with a matching component.
β’ Generous and flexible leave options.
β’ Additional employee perks on a reimbursement basis.
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