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About the Role

We are looking for a Director of Analytics to lead our healthcare analytics function through a pivotal transformation. This role owns the mandate from vision to delivery for modernizing our client reporting infrastructure. You will lead a team of analysts, partner closely with various departments, and serve as the primary analytics thought partner to internal and external stakeholders, including clients. This role is central to how Collective Health uses data to serve clients and improve their benefits experience.

Responsibilities

Own the analytics strategy and roadmap, building it from a clear-eyed assessment of the current state and future needs.
Lead Client Reporting 2.0 by auditing existing systems, designing a modern replacement, and delivering an automated, scalable reporting infrastructure.
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.
Oversee end-to-end analysis of claims, member, and benefits data to identify trends, inefficiencies, and opportunities for improvement.
Shift the analytics function from reactive to proactive, surfacing insights that inform product, CS strategy, and executive decision-making.
Lead initiatives to improve claims adjudication accuracy, reduce denials, and enhance payment integrity.
Drive AI-informed analytics using LLMs, RAG architecture, and generative AI tools to deliver smarter, faster insights at scale.
Direct the development of dashboards, scorecards, and KPIs to monitor performance across the claims lifecycle and client experience.
Establish and enforce data quality standards, metric governance, and documentation norms.
Build the data contract and observability framework to protect the analytics team and its consumers.
Lead, mentor, and grow a high-performing analytics team with diverse capabilities.
Set a high bar on delivery accountability, ensuring clear roadmaps, defined milestones, and a culture of commitment.
Foster an environment of continuous learning, direct feedback, and intellectual honesty.
Ensure all analytics processes adhere to HIPAA and other regulatory requirements.
Identify and mitigate data risks, particularly in claims and member/provider data.

Requirements

Deep, working knowledge of healthcare data, including claims, member data, payer-provider models, and the regulatory environment (HIPAA, ICD, CPT, HCPCS, HL7, EDI 837).
10+ years in healthcare analytics.
3+ years in claims processing analytics.
3+ years leading analytics teams.
Proven transformation experience, having modernized or built an analytics function from scratch.
Technical fluency in the modern data stack, including Looker (or equivalent BI platform), SQL, dbt, cloud data warehouse (Snowflake, Databricks, or BigQuery), and orchestration tooling (Airflow or equivalent).
Working familiarity with AI/ML concepts, including LLMs, RAG architecture, and generative AI tools (Google Vertex, OpenAI, or equivalent).
Client-facing experience, comfortable presenting data to non-technical audiences and handling client escalations.
Startup operating experience in a fast-moving, high-ambiguity environment.
People leadership depth, including hiring, development, and performance management.
Bachelor's degree in a quantitative field (Statistics, Health Informatics, Computer Science, Actuarial Science, or similar).
Experience with value-based care analytics or population health (preferred).
Exposure to machine learning models and predictive analytics in a healthcare setting (preferred).
Familiarity with data observability tooling (Monte Carlo, Great Expectations, or equivalent) (preferred).
Experience with master data management and data architecture at scale (preferred).

Skills

Analytics strategy and roadmap development
Client reporting infrastructure modernization
Claims data analysis
Member data analysis
Benefits data analysis
Proactive insights generation
Claims adjudication accuracy improvement
Payment integrity enhancement
AI-informed analytics
LLMs
RAG architecture
Generative AI tools
Dashboard development
Scorecard development
KPI monitoring
Data quality standards
Metric governance
Data contract development
Observability framework
Team leadership and mentorship
Delivery accountability
Continuous learning
Direct feedback
Intellectual honesty
HIPAA compliance
Data risk mitigation
Looker (or equivalent BI platform)
SQL
dbt
Snowflake (or equivalent)
Databricks (or equivalent)
BigQuery (or equivalent)
Airflow (or equivalent)
Google Vertex (or equivalent)
OpenAI (or equivalent)
Value-based care analytics (preferred)
Population health analytics (preferred)
Machine learning models (preferred)
Predictive analytics (preferred)
Data observability tooling (preferred)
Master data management (preferred)
Data architecture at scale (preferred)
Strategic thinking
Hands-on execution
Cross-functional partnership
Influencing without authority

Location

San Francisco, CA

Work Type

Hybrid

Experience Level

10+ years in healthcare analytics
3+ years in claims processing analytics
3+ years leading analytics teams

Education Level

Bachelor's degree in a quantitative field (Statistics, Health Informatics, Computer Science, Actuarial Science, or similar)
Master's degree preferred

Salary/Compensations

$200,000—$250,000 USD

Benefits

550,000 stock options
Health insurance
401k
Paid time off

About the Company

Collective Health is transforming how employers and their people engage with their health benefits by integrating technology, service, and user experience design.
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, mentorship programs, and tailored courses.
Flexible work arrangements and a supportive work-life balance.

Equal Opportunity

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 recruiting-accommodations@collectivehealth.com.