Director of Analytics

At Collective Health were 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.

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 builders 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.

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 youll 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
• Bachelors degree in a quantitative field (Statistics Health Informatics Computer Science Actuarial Science or similar); Masters preferred but not required

• 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

• 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

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 addition to the salary you will be eligible for 350000 stock options and benefits like health insurance 401k and paid time off. Learn more about our benefits at Francisco CA Pay Range

$200000 - $250000 USD