• Define and drive the long-term data engineering vision and roadmap, enabling a scalable, compliant, cloud-native data platform that supports Modern Health’s operational and analytical needs. • Lead the design and evolution of Modern Health’s data pipelines for high-quality, secure, and timely data sharing across internal and external stakeholders. • Advance the company’s data democratization efforts by enabling self-service analytics and building a strong foundation of data governance and literacy. • Oversee analytics initiatives that drive impact across business, product, and clinical areas - from operational reporting and performance dashboards to predictive and prescriptive analytics. • Partner closely with Product teams to surface insights that inform care model design, provider performance, member engagement, and program effectiveness. • Establish best practices for experiment design, cohort analysis, and measurement of interventions and feature impact. • Champion AI/ML initiatives that enhance personalization, care coordination, and automation - always with a focus on safety, transparency, and regulatory compliance. • Build scalable pipelines and frameworks for model development, validation, and monitoring. • Partner with Engineering and Product to translate models into production-ready solutions that directly improve member and provider experiences. • Lead a multidisciplinary team of data engineers, analysts, and data scientists, fostering a culture of curiosity, excellence, and accountability. • Partner with functional leaders across Tech, Product, Clinical, Business and Operations to embed data-driven thinking in decision-making. • Mentor team members, developing both technical expertise and leadership capacity. • Champion a high-performance environment and contribute to an inclusive work environment.