• Own enterprise-level accountability for the definition, differentiation, and market readiness of Arcadia’s Life Sciences data products • Translate pharma, biotech, and commercial LS use cases into clear data models, schemas, and product requirements • Drive clear decision-making for Life Sciences data product scope, sequencing, and tradeoffs—balancing engineering complexity, speed, and commercial value • Ensure tight alignment between Life Sciences data products and Arcadia’s core platform roadmap • Work directly and regularly with data engineering and platform teams on pipelines, data models, refresh cadence, and metadata • Act as a hands-on product counterpart to engineering—reviewing outputs, validating assumptions, and ensuring analytical usability for LS buyers • Own the adaptation of Arcadia’s existing analytics, dashboards, and data visualization tools for Life Sciences use cases • Identify where existing tools fall short and define targeted enhancements • Ensure analytics and insight work is explicitly oriented toward product definition and revenue enablement • Develop repeatable insight frameworks that clearly communicate where Arcadia’s data is strongest by therapeutic area and use case • Personally support the most strategic enterprise deals and partnerships as the senior data and analytics authority • Own executive accountability for Life Sciences data pricing and packaging strategy in close partnership with Commercial and Finance • Build and lead a high-performing Life Sciences data product and analytics organization, including direct and dotted-line leadership across teams