Client Analytics Manager- Value

TurningPoint Healthcare Solutions is a leader in advanced clinical and technology-enabled complex condition management. TurningPoint provides an innovative suite of specialty care management services and technologies that enable health plans and employers to improve the safety, quality, and affordability of healthcare. Through its platform and specialized team of clinical experts, TurningPoint works collaboratively with providers to deliver optimal care. TurningPoint offers condition-specific, quality-driven, value-based care management services that optimize care from diagnosis and discovery through recovery. TurningPoint’s comprehensive and integrated suite of services enhances the support individuals need, at the time they need it most. Since launching in 2015, TurningPoint has provided support to more than 50 million people nationwide across numerous clinical specialties including musculoskeletal, pain management, cardiology, wound care, ear/nose/throat, and sleep. TurningPoint’s model moves beyond denial-based care to holistic condition management that improves outcomes and reduces cost. TurningPoint is an independent organization, not owned or affiliated with a health plan or provider system.

 

Lead the development and delivery of analytics that define, measure, and communicate client value, including ownership of savings methodologies and impact quantification. This role is accountable for ensuring value is calculated consistently, accurately, and transparently, informing both strategic decisions and financial outcomes. Partner with Client Account Management, Clinical Operations, and Finance to translate complex healthcare data into clear, defensible insights that articulate program value. Design and deliver scalable financial, clinical, and utilization-based analyses using modern data tools to produce high-quality reporting and compelling, client-ready narratives. This is a highly visible, client-facing role, partnering directly with external stakeholders to explain methodologies, validate outcomes, and guide data-driven decision-making.