Senior Associate, Innovation and Data Integration

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.

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
• Analyze emerging pilot results and present findings to the team lead and field staff in accessible, non-technical terms
• Flag when data is insufficient or unreliable rather than forcing conclusions from weak evidence

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