Collective Health Logo

Collective Health

Director of Analytics

Reposted One Month Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
200K-250K Annually
Expert/Leader
In-Office
San Francisco, CA, USA
200K-250K Annually
Expert/Leader
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.
The summary above was generated by AI

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 & RiskEnsure 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 BigQuery), orchestration tooling (Airflow or equivalent)
  • AI / ML literacy — working familiarity with LLMs, RAG architecture, and generative AI tools (Google Vertex, OpenAI, or equivalent); able to guide the team on applied AI use cases without needing to build models personally
  • Client-facing experience — comfortable presenting data to non-technical external audiences, navigating client escalations, and representing analytics in high-stakes conversations
  • Startup operating experience — has worked in a fast-moving, high-ambiguity environment; understands that speed, responsiveness, and ownership look different at a startup than at a large enterprise
  • People leadership depth — has hired, developed, and when necessary managed out; gives direct feedback and does not let performance issues linger
  • Bachelor's degree in a quantitative field (Statistics, Health Informatics, Computer Science, Actuarial Science, or similar); Master's preferred but not required
Preferred:
  • Experience with value-based care analytics or population health
  • Exposure to machine learning models and predictive analytics in a healthcare setting
  • Familiarity with data observability tooling (Monte Carlo, Great Expectations, or equivalent)
  • Experience with master data management and data architecture at scale
Key Competencies
  • Delivery Accountability — owns a roadmap, manages dependencies, ships without needing constant oversight
  • Strategic thinking paired with hands-on execution — knows when to lead from the front
  • Strong communication across technical and non-technical audiences, including clients and executive leadership
  • Healthcare domain credibility — earns trust quickly with CS, CX, and clients because they know the space
  • Cross-functional partnership — builds relationships, influences without authority, and navigates competing priorities with grace
Pay Transparency Statement

This is a hybrid position based out of our San Francisco office, with the expectation of being in office at least two weekdays per week.#LI-hybrid

The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 350,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

San Francisco, CA Pay Range
$200,000$250,000 USD
Why Join Us?
  • Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
  • Impactful projects that shape the future of our organization
  • Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
  • Flexible work arrangements and a supportive work-life balance

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact [email protected].

Privacy Notice

For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.

HQ

Collective Health San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

Yesterday
Remote or Hybrid
California, USA
160K-260K Annually
Expert/Leader
160K-260K Annually
Expert/Leader
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Leads marketplace data and insights for PSA Marketplace businesses, translating transactional, marketing, operational, product, and behavioral data into strategic decisions. Owns analytics metrics and stack, partners cross-functionally on product, marketing, fraud, and infrastructure insights, delivers executive reporting, and manages a lean analyst team while remaining hands-on with SQL and business intelligence tools.
Top Skills: DbtLightdashModeSQLTableau
7 Days Ago
In-Office or Remote
163K-215K Annually
Senior level
163K-215K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
The Director will lead analytics strategy and business operations for PSA Consumer Grading, overseeing measurement, reporting, forecasting, experimentation, and process improvement. The role combines hands-on analysis with management of two leaders, partnering with Data, Pricing, Product, and Finance. Responsibilities include developing metrics, conducting executive-level deep dives, translating insights into recommendations, improving analytical rigor, and applying AI to accelerate workflows.
Top Skills: AIClaudeDbtLightdashSQLTableau
12 Days Ago
Hybrid
San Francisco, CA, USA
210K-287K Annually
Mid level
210K-287K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads business analytics strategy, data infrastructure, product analytics, measurement frameworks, experimentation, and data-driven strategy for AI-powered customer assistance channels. Connects customer experience and operational efficiency outcomes while partnering with Product, Technology, Operations, and Finance. Manages and develops analysts, oversees concurrent projects, builds business requirements, and drives executive-level decisions supporting growth, profitability, and service improvements.
Top Skills: Artificial IntelligenceGenerative Ai

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account