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• 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

Key Performance Indicators

• Data Quality and Integrity: You will be assessed on the accuracy and reliability of field data, including whether quality issues are caught early and resolved. This includes overseeing the performance of data collection officers
• Data System Delivery: You will be assessed on whether the Innovation team has functioning, reliable data infrastructure, including collection tools, dashboards, and a clean pipeline from field to decision. Speed matters: the time from field collection to usable analysis should be short enough to inform weekly decisions
• Data Integration into Decisions: You will be assessed on whether pilot data is consistently embedded into the team’s weekly planning and pilot design decisions, and whether the team finds the tools and outputs useful enough to actually rely on.