Data Lead - Remote Patient Monitoring

Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care – monitoring patients, surfacing risks, and coordinating action – so clinicians can focus on the decisions that require them. Grounded in partnerships with more than 20 leading health systems, deep EMR integrations, dedicated medical group, and experience serving a population of more than 100,000 patients, the system learns from real-world care delivery, improving as it scales. Cadence has been recognized by TIME as one of the Top 100 HealthTech Companies and by LinkedIn as a Top Startup (#4, 2025). The Role We're hiring a Data Analytics Lead - Remote Patient Monitoring (RPM) to define the KPIs, data models, and analytical infrastructure that support Cadence's clinical, operational, and product decisions. You will partner closely with care delivery, operations, product management, and customer success to build a scalable analytics roadmap and translate complex data - including patient vitals, EHR records, and clinical outcomes - into insights that drive strategy. This role sits at the center of how Cadence measures and improves care delivery at scale. What You'll Do Build and maintain labor productivity models and workforce supply/demand forecasts that give clinical operations leadership a clear, real-time picture of staffing needs, capacity constraints, and efficiency trends across the RPM program. Develop financial and operational models, including revenue forecasting and cost-per-patient analyses, that support resource planning and strategic decision-making at the executive level. Explore patient vitals, EHR data, and clinician-generated data to surface insights that benefit clinical care, inform product strategy, and support care gap closure across Cadence's patient population. Build reusable analytical workflows and automation that reduce manual overhead, accelerate insight generation, and raise the qua