Collective Health

HQ
San Francisco
Total Offices: 4
500 Total Employees
Year Founded: 2013

Jobs at Collective Health

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9 Hours AgoSaved
In-Office
3 Locations
Healthtech
Serve as the primary analytics lead for top clients, owning end-to-end reporting and complex claims analyses. Provide SQL mentorship, design scalable solutions with Data Engineering, manage roadmap in Jira/Confluence, deliver high-impact presentations, and lead rapid ad-hoc and audit analyses to inform clinical and financial decisions.
5 Days AgoSaved
In-Office
3 Locations
Healthtech
Lead and manage the core Claims processing system, owning development, testing, and maintenance. Partner with Product, Business, Operations, and Support to define and execute the technical roadmap, automate processes, and improve SLAs. Drive adoption of AI-powered developer tools and architect AI-native, agentic solutions. Provide technical and people leadership to build scalable, cloud-native backend services and integrations using Java/Spring Cloud, Kafka, AWS, Kubernetes, PostgreSQL, and BRMS.
6 Days AgoSaved
In-Office
2 Locations
Healthtech
Own strategy, roadmap, and delivery of core data products for TPA operations. Lead discovery with stakeholders, translate requirements into data product specs, run Agile ceremonies, manage backlog, define metrics, triage data quality/pipeline issues, and maintain documentation and data dictionaries.
22 Days AgoSaved
In-Office
San Francisco, CA, USA
Healthtech
Lead and modernize the healthcare analytics function, build automated client reporting infrastructure, drive claims and member data analysis, implement metric governance and data quality, leverage LLMs/RAG for AI-informed insights, partner with cross-functional teams and clients, and hire and develop a high-performing analytics team while ensuring HIPAA compliance.
23 Days AgoSaved
In-Office
3 Locations
Healthtech
Own and develop Provider Servicing backend systems: design scalable, secure Java/Spring Cloud microservices and integrations (Mulesoft), build APIs and data services, adopt AI developer tools, mentor engineers, collaborate cross-functionally, and automate operations to improve SLAs.