• Focuses on bridging the gap between complex epidemiological and contextual data and strategic public health action. • Accompany in-country counterparts to generate stronger analytics and information products to support decision-making, integrating disease surveillance data with other contextual data. • Contribute to the facilitation of two flagship programs - Epidemic Intelligence training curriculum, and a co-design workshop - to build national counterparts' capacity for epidemic intelligence and systems thinking. • Collaborates with HQ-based staff and in-country embedded teams on data analytics, innovations and delivery. Responsibilities include: • Support the implementation of epidemic intelligence activities that inform decision-making, including development of innovative data use products and implementation of automated production pipelines. • Collaborate closely with in-country counterparts and across teams to map existing systems, data, and decision-making needs. • Provide hands-on technical accompaniment, capacity building, and knowledge transfer, including providing hands-on technical mentorship that develops local talent. • Training in-country embedded teams on the use of digital tools, such as DHIS2, Emergency Management Systems (EMS), R and R markdown for data management, analytics, GIS, and data product generation. • Work with a multidisciplinary team to develop a country workplan and budget for Collaborative Surveillance, coordinate the implementation, and generate strategic reports for leadership and donors. • Collaborate with global (e.g., WHO, US CDC, UNICEF) and country-level partners to streamline and align Collaborative Surveillance initiatives. • Provide technical oversight and methodologies to evaluate the impact of the Collaborative Surveillance initiatives. • Lead consultative work to investigate and develop use cases for surveillance innovations. • Collaborate with multidisciplinary epidemic intelligence team to pioneer innovations in data use for decision-making.

• Lead National Pricing & Quoting Strategy • Own national pricing programs for data center grey space projects across multiple regions • Develop and manage detailed quotes for large-scale electrical scopes • Build standardized pricing models, labor assumptions, and BOM structures • Partner with manufacturers to negotiate pricing, rebates, and supply agreements • Ensure competitive positioning while maintaining margin expectations • Act as a senior point of contact for national data center customers and contractors • Support pre-bid meetings, scope alignment, and high-level customer discussions • Guide internal teams on pricing strategy and technical requirements • Collaborate with field teams and operating companies to support project delivery • Provide technical guidance on material selection and substitutions • Troubleshoot supply chain, logistics, and coordination challenges • Drive Vendor Strategy & Standardization • Promote standardization of materials across projects and customers • Identify value engineering and prefabrication opportunities • Support long-term vendor relationships aligned with growth

• Stay up-to-date with best practices and technologies related to data acquisition and web scraping. • Generate data analyses based on captured data or data provided in databases. • Process captured data and make it available for consumption in development and production data stores. • Assist in maintaining and continuously improving data normalization and delivery pipelines. • Perform performance analyses regarding the data being captured and/or made available. • Develop Python scripts to perform web scraping of specific websites as requested by commercial or business teams. • Review the production queue to identify the next site to be mapped, create the corresponding script, test it in the development environment, and validate the collected data. • Collaborate with other areas of the company to understand data needs and ensure acquired datasets meet established requirements. • Validate acquired data to ensure quality and consistency, correcting any errors or inconsistencies identified. • Connect to AWS servers to perform data captures. • Drive continuous improvement of data acquisition processes to increase efficiency and data quality. • Receive and distribute acquisition requests among the team. • Create reports on the progress of requests handled by the acquisition team. • Assist in the development of the acquisition team. • Conduct training for members of the acquisition team.

• Own the measurement science behind Audiohook's performance audio advertising platform • Design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers • Collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn't just statistically sound but operationally useful • Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions • Develop and validate predictive models that improve campaign performance and platform efficiency • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals • Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data • Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats • Communicate clearly and proactively in a remote-first environment