Jobs at Collective Health

The Data and Reporting Analyst will perform data analysis, develop reports and visualizations, ensure data accuracy, and present insights to stakeholders to improve customer experience operations.

Lead the design and delivery of cloud-native backend, data, and AI systems, focusing on AI-driven automation while mentoring engineers and driving integration into business operations.

The Director of Plan Operations leads health plan administration, ensuring efficiency, compliance, and an excellent client experience by overseeing operations strategy, team development, and systemic programming. This role involves collaboration across teams to optimize processes and deliver high-quality service.

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.

Owner of quality for an LLM-based multi-agent claims adjudication pipeline. Build evaluation frameworks, automated LLM-grading workflows, function-call and reasoning-trace auditing using Vertex AI. Integrate CI/CD regression, Auto-SxS comparisons, and large-scale mocking to ensure compliance and accurate adjudications for DOL/DOI audits.

Lead design and implementation of agentic AI systems for claims adjudication using Gemini and Vertex AI. Build production-grade Python agents, implement RAG, grounding, stateful orchestration with human review, input/output guardrails, and Google Cloud DLP integration. Drive backend patterns, optimize model behaviors, and supervise fine-tuning to ensure reliable, auditable outputs in healthcare claims workflows.

Design, build, and maintain cloud-native data infrastructure and pipelines (AWS, Terraform, Spark/PySpark). Partner with analytics consumers to model data, ensure data quality across healthcare domains, manage BI lifecycle, enable self-service, and collaborate cross-functionally to deliver scalable ETL and warehousing solutions.

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.

As a Lead Data Analyst, you'll lead complex analyses, manage client analytics partnerships, ensure data integrity and optimize SQL, while delivering actionable insights and influencing decision-making for stakeholders.