Modern Health - Director of Data & Analytics

• Data Strategy & Architecture • 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. • Analytics & Insights • 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. • AI/ML Innovation • 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. • Leadership & Team Development • 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. • Our Stack: • Our Stack: • 8+ years of experience in data-related roles, with 3+ years leading data engineering, analytics, or data science teams. • Proven success building and executing a data strategy in a health tech or regulated environment. • Deep understanding of modern data architecture, ETL/ELT pipelines, and cloud-based data ecosystems (e.g., Snowflake, BigQuery, Looker). • Hands-on experience with AI/ML applications, including model development, deployment, and monitoring in production. • Familiarity with healthcare data standards (e.g., HL7, FHIR, claims, EMR/EHR data) and privacy requirements (e.g., HIPAA). • Strong communication and influencing skills, with the ability to bridge technical and non-technical audiences. • A collaborative mindset and genuine passion for improving healthcare through data and technology.