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Director of Analytics

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Collective Health
Full Time position
Listed on 2026-06-15
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting‑edge technology, compassionate service, and world‑class user experience design.

About the Role

We are looking for a Director of Analytics to lead our healthcare analytics function through a pivotal transformation. This is not a steady‑state management role — we are modernizing our client reporting infrastructure from the ground up, and you will own that mandate from vision to delivery. You will lead a team of analysts, partner closely with Customer Success, Customer Experience, and Data Engineering, and serve as the primary analytics thought partner to our internal and external stakeholders, including direct engagement with clients.

The right person brings deep healthcare data expertise, a builder’s mindset, and the credibility to earn trust with both technical teams and business partners quickly.

This role sits at the center of how Collective Health uses data to serve its clients. Done well, it changes how our clients experience their benefits — and how our internal teams make decisions.

What you’ll do:
Strategic Leadership
  • Own the analytics strategy and roadmap — not just maintain it; build it from a clear-eyed assessment of current state and a sharp view of where the function needs to go
  • Lead Client Reporting 2.0: audit what exists, design a modern replacement, and deliver an automated, scalable reporting infrastructure that clients trust and CS can stand behind
  • Collaborate with senior leadership across Product, Operations, Engineering, Customer Success, and Customer Experience to align analytics initiatives with business priorities
  • Serve as a direct partner and analytics representative in client conversations, QBRs, and escalations — alongside CS, not behind them
Analytics
  • Oversee end-to-end analysis of claims, member, and benefits data to surface trends, inefficiencies, and opportunities for cost savings or process improvement
  • Shift the analytics function from reactive (answering requests) to proactive — surfacing insights that inform product, CS strategy, and executive decision-making before someone has to ask
  • Lead initiatives to improve claims adjudication accuracy, reduce denials, and enhance payment integrity
  • Drive AI-informed analytics — leveraging LLMs, RAG architecture, and generative AI tools to deliver smarter, faster insights at scale
Data Management & Reporting
  • Direct the development of dashboards, scorecards, and KPIs that monitor performance across the claims lifecycle and client experience
  • Establish and enforce data quality standards, metric governance, and documentation norms — so the same number means the same thing everywhere, every time
  • Build the data contract and observability framework that protects both the analytics team and its downstream consumers
Team Development
  • Lead, mentor, and grow a high-performing analytics team with capabilities spanning data science, analytics engineering, reporting, and business intelligence
  • Set a high bar on delivery accountability — clear roadmaps, defined milestones, and a culture where commitments are kept
  • Foster an environment of continuous learning, direct feedback, and intellectual honesty
Compliance & Risk

Ensure all analytics processes adhere to HIPAA and other regulatory requirements. Identify and mitigate data risks, particularly in claims and member/provider data.

To be successful in this role, you’ll need:
Required
  • Healthcare domain expertise — deep, working knowledge of claims data, member data, payer-provider models, and the regulatory environment (HIPAA, ICD, CPT, HCPCS, HL7, EDI 837); this is required, not preferred
  • 10+ years in healthcare analytics with 3+ years in claims processing analytics and 3+ years leading analytics teams
  • Proven transformation experience — has modernized or built an analytics function from scratch, not just managed inherited infrastructure
  • Technical fluency in the modern data stack — Looker (or equivalent BI platform), SQL, dbt, cloud data warehouse (Snowflake, Databricks, or Big Query), orchestration tooling (Airflow or equivalent)
  • AI / ML literacy — working familiarity with LLMs,…
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