Sr Manager, Data Analytics

Let's talk about the Team The Brightree Analytics team develops customer-facing analytics solutions that help healthcare providers improve operational efficiency, financial performance, patient outcomes, and business decision-making. By transforming complex data into actionable insights, the team delivers differentiated products that create measurable value for customers and strengthen Brightree's market leadership. Let's talk about the Role The Senior Manager, Data Analytics leads a team of analysts and analytics engineers responsible for defining, delivering, and evolving Brightree's analytics product portfolio. This leader serves as the bridge between customers, product managers, engineering teams, data platform teams, and business stakeholders to ensure analytics capabilities address real-world customer needs. The role combines people leadership, product thinking, analytics expertise, and market understanding to drive the strategy and execution of analytics-driven products and experiences. Responsibilities Product Strategy & Roadmap Define and execute the vision and strategy for Brightree's analytics product offerings. Partner with Product Management leadership to identify opportunities for new analytics products, data services, and insight-driven capabilities. Translate customer needs into scalable analytics solutions and roadmap priorities. Evaluate market trend [... source excerpt omitted ...] ings to identify opportunities for differentiation. Customer & Domain Leadership Develop deep understanding of provider workflows, reimbursement models, operational metrics, and customer business challenges. Engage directly with product management and customers to understand reporting, benchmarking, and decision-support needs. Translate complex healthcare and operational requirements into product requirements and analytics capabilities. Team Leadership Lead and grow a high-performing team of analysts and analytics engineers. Establish standards for analytics product design, metric definitions, and insight generation. Coach team members in analytical thinking, customer eng [... source excerpt omitted ...] pabilities. Collaborate with data engineering teams to ensure required data assets and metrics are available and scalable. Drive adoption and usage of analytics products through customer feedback and continuous improvement. Qualifications Required Bachelor's degree in a quantitative, business, healthcare, or technical discipline. 8+ years of experience in analytics, business intelligence, healthcare data, or data products. 3+ years of people leadership experience. Strong understanding of product development lifecycle and agile methodologies. Ability to communicate effectively with both technical and business audiences. Preferred Experience delivering customer-facing an