Evidence Action Vacancy: Senior Associate, Innovation and Data Integration, Mbale, Uganda | UNjobs Toggle navigation Latest Duty Stations Organizations Closing Soon Senior Associate, Innovation and Data Integration, Mbale, Uganda Organization: Evidence Action Country: Uganda Field location: Mbale Office: Evidence Action in Mbale Description About Evidence Action At Evidence Action, we deliver data-driven interventions that transform lives at an unprecedented scale. We identify neglected global health issues and deploy proven solutions, forging healthier futures for generations. Our model operationalizes leading academic research (including from Nobel-winning economists). We measure progress and outcomes at every stage to ensure we're making a real impact for people living in poverty and suffering from preventable or treatable health issues. Operating across 9 countries, our team of 800+ has reached over 500 million people, working closely with governments to scale these interventions. Our Deworm the World program has delivered over 2 billion treatments, significantly reducing worm prevalence and generating more than $23 billion in lifetime productivity gains. Through Safe Water Now, we've saved the lives of over 15,000 children. Our Accelerator explores untapped opportunities in global health, testing low-cost interventions with the greatest potential to save and improve lives. At Evidence Action, your colleagues are your greatest asset. You'll partner with high-caliber colleagues in an environment blending innovation, autonomy, and teamwork. Our team excels in disruptive thinking and believes in rolling up our sleeves to get things done. If you're looking to work flexibly and with purpose, join a team that delivers measurable change for millions. The Role You will oversee data systems and analytics for Evidence Action's new In-Line Chlorination Innovation Team, under the Safe Water Now Program. Evidence Action's Safe Water Now program provides access to safe drinking water across Kenya, Uganda, Malawi, and India through water chlorination. Backed by rigorous research showing chlorination can reduce child mortality by more than 20%, safe water is one of the most cost-effective health interventions globally. The program's newest intervention, In-Line Chlorination (ILC), automatically treats water as it flows through piped systems, requiring less behavior change from end users than existing solutions. As ILC scales up, core questions remain about how to optimize device performance, reduce operational costs, and strengthen community engagement. Answering these questions well will shape whether ILC can become a scalable, cost-effective model reaching millions more people. Evidence Action is investing in a dedicated Innovation team to find those answers. This new team will conduct rapid field pilots testing improvements to the ILC model. Your job is to make sure those pilots produce data the team can trust and act on. You will design the data collection tools, build the dashboards, and own the pipeline from field measurement to operational decision. This is not a monitoring or evaluation role: the goal is to get useful information into the hands of field staff and program managers fast enough to change what happens next. Based in Mbale, Uganda, you will report to the Manager, Innovation & Learning, and work closely with both Field Technicians and the MLE Team. Direct Reports Innovation Monitoring Officers Responsibilities Data Collection Design and Quality: Design and oversee data collection processes that produce reliable field data across the Innovation team's device portfolio Supervise a data collection team that conducts spotchecks of data collected by field technicians Build and iterate on survey instruments and collection protocols tailored to each pilot's learning goals Train field technicians on data collection procedures and conduct regular quality checks Identify and troubleshoot data quality issues as they emerge, including measurement inconsistencies, protocol deviations, and instrument problems Support pilot design by helping define what to measure, how to measure it, and what thresholds would indicate success or failure Data Systems and Dashboards: Build and maintain the data pipeline from field collection through to usable outputs Design and manage operational dashboards from the ground up tracking device performance, dosing consistency, visit frequency, and other pilot-specific indicators Own the data cleaning and transformation process, working with MLE teams where appropriate Data-Driven Decision Support: Integrate data from dashboards you create into timely, actionable input for the team's weekly planning and pilot decisions Embed data into weekly workplanning by producing clear signals on which devices need attention, which pilots are on track, and where adjustments are needed Support creation of decision processes across the program that directly utilize and integrate data effectively Analyz
