As a Lead Data Analyst, you will be the primary technical lead for our most significant clients and a driving force behind our team’s data and analytics excellence. You will move beyond standard reporting to lead complex analyses, with AI first mentality serving as a trusted advisor to key stakeholders by translating healthcare claims data into clear, actionable narratives. This role is designed for a self-starter who thrives in high-pressure environments, capable of leading high-priority projects with tight turnaround times, who can navigate sophisticated data landscapes, lead by example, and deliver high-impact presentations that influence decision-making.

What you'll do:

• Lead Strategic Reporting & Delivery: Own the end-to-end lifecycle of analytics for leadership and key stakeholders. You will ensure that high-impact reporting is not only delivered on schedule but is strategically aligned with clinical and financial objectives.
• Direct Client Analytics Partnership: Serve as the primary analytics lead for top-tier client requests. You will move beyond requirement gathering to act as a consultant, designing solutions that solve complex healthcare business challenges and presenting these insights directly to key partners.
• Technical Excellence & SQL Mentorship: Establish and uphold the standards for data integrity by leading peer code reviews. You will provide expert guidance on SQL optimization, complex logic validation, and adherence to rigorous data governance and compliance standards.
• Advanced Project & Knowledge Management: Oversee the reporting roadmap and project lifecycle via Jira and Confluence. You will ensure transparent communication of project statuses, maintain technical documentation, and proactively identify risks to delivery timelines.
• Key Stakeholder Communication: Act as the "voice of the data" for key stakeholders. You will translate dense healthcare findings into compelling narratives and high-level presentations, bridging the gap between technical complexity and business-critical decision-making.
• Rapid Impact Assessment: Lead high-priority routine and ad-hoc analyses, including internal and external audits for clients delivering insights in accelerated timeframes when required.
• Architectural Gatekeeping: Identify bottlenecks in the data lifecycle and partner with Data Engineering and Data Architect to move to automated, scalable solutions.

To be successful in this role, you'll need:

• At least 8 years of experience in healthcare analytics, with a specific emphasis on analyzing healthcare claims data, population health, and member experience.
• Analytical Rigor: Strong critical thinking skills and a resourceful approach to professional development. We value candidates who take ownership of their learning, possess a high degree of initiative, and are committed to delivering results through diligent effort.
• Strong critical thinking: resourcefulness, initiative, and ownership of professional development are valued. Candidates must be committed to diligent effort and delivering results.
• Agility and Learning Velocity: Proven track record of mastering new data environments and complex healthcare schemas with minimal training.
• Automation Mindset: Experience replacing manual hand-offs with automated triggers or self-serve tools.
• Systemic Problem Solving: Proven ability to look across a portfolio of requests and identify the underlying data commonality to maximize impact of every tool or dashboard built.
• Domain Expertise: Deep understanding of the claims lifecycle and nuances involved with reporting logic.
• Technical Proficiency: Proven ability writing and optimizing SQL queries and experience building visualizations/models in Looker (or comparable tools like Tableau).
• Industry Context: Experience working directly with health care claims and or member experience data at a payer provider, TPA, or Point Solution.
• Project Management: Proficiency in Agile tools like Jira for task management and Confluence for process documentation.
• Soft Skills: Ability to communicate technical issues effectively to non-technical stakeholders, and non-technical issues effectively to technical stakeholders.
• Education: Bachelor’s degree in Mathematics, Economics, Statistics, Computer Science, Business Administration or a related quantitative field (or equivalent professional experience).

Pay Transparency Statement 

This is a hybrid position based out of one of our offices: San Francisco, CA, or Lehi, UT. Hybrid employees are expected to be in the office two days 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 115,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

About the Role:

We are looking for a seasoned Staff Engineer to lead the design and delivery of highly scalable, cloud-native backend, data, and AI systems with a strong focus on AI-driven automation and agentic workflows.

In this role, you will define the technical direction for the core TPA platform (Eligibility, Provider Data and others), enable intelligent, end-to-end workflows across systems, and drive the integration of AI into real-world business operations. You will operate at the intersection of backend architecture, data engineering, and applied AI, while mentoring engineers and influencing technical strategy across teams.

This is a hands-on leadership role for someone who thrives in ambiguous, high-impact problem spaces and can translate emerging AI capabilities into production-grade systems at scale.

What you'll do:

• Set the technical vision and drive architecture for scalable, cloud-native backend, data, and AI systems
• Design and build API-first and event-driven systems supporting internal and external integrations (partners, EDI, downstream platforms)
• Lead development of high-throughput data pipelines (batch + streaming) powering operational workflows and AI use cases
• Design and implement AI-driven automation and agentic workflows to reduce manual operations and enable intelligent decisioning
• Integrate LLM-based capabilities (search, summarization, copilots, workflow orchestration) into core platform services
• Establish best practices for AI systems (prompting, evaluation, guardrails, observability, responsible AI)
• Build and evolve integration layers across APIs, events, and file-based systems (including complex partner integrations)
• Improve data quality, validation, lineage, and real-time visibility across critical business workflows
• Drive adoption of AI-assisted development workflows (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate engineering velocity and delivery
• Partner with Product, Data, and Operations to translate complex workflows into scalable, intelligent systems
• Lead small but nimble teams, cross-team initiatives, influencing technical roadmap and AI adoption and implementation strategy
• Mentor sr. engineers and technical leads, raising the bar on system design, data engineering, and AI adoption

To be successful in this role, you'll need:

• 10+ years of experience building scalable, distributed backend systems and platforms
• Strong expertise in Java/Spring Boot and/or Python, with deep understanding of microservices architecture
• Proven experience designing and operating integration-heavy systems (APIs, event-driven systems, partner integrations)
• Hands-on experience with cloud-native architectures and Implementation (AWS and/or GCP)
• Strong experience building data pipelines and data-intensive systems (batch and/or streaming)
• Deep understanding of data engineering principles (data modeling, quality, lineage, observability)
• Experience working with complex data domains (e.g., transactional systems, EDI, or operational workflows)
• Hands-on experience integrating AI/ML or LLM-based capabilities into production systems
• Familiarity with RAG pipelines, embeddings, and vector-based retrieval systems
• Solid understanding of event-driven architectures (Kafka, queues, SQS) and distributed systems design
• Hands-on experience using AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate development
• Strong understanding of AI-augmented engineering workflows, including prompt-driven development, testing acceleration, and iterative refinement
• Proven ability to lead cross-team technical initiatives, influence architecture, and mentor senior engineers
• Strong communication skills with the ability to connect technical decisions to business impact

Our Tech Stack:

• Backend: Java / Spring Boot, Python
• Cloud: AWS, GCP
• Orchestration: Kubernetes, Docker
• Databases: PostgreSQL
• Frontend: React, Angular
• AI Tooling: Claude Code, GitHub Copilot, Cursor, Gemini, and emerging AI platforms

Pay Transparency Statement 

This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days 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 330,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.#LI-LN1

The Cost Containment team is developing efficient systems for prior authorizations and utilization management, ensuring members receive appropriate care cost-effectively. These systems will integrate with partner solutions to achieve provider payment integrity and accuracy for the healthcare service. We are leveraging proven technologies and business rules engines to create a highly configurable system. Collective Health is  building modern health management systems, which enhance the claims engine, using cutting-edge technologies. 

What you'll do:

• Design and develop scalable, secure, and configurable platform services for the Claims team.
• Lead full-stack development and support of services across backend (Java/Spring Cloud), integration platforms (Kafka, Mulesoft), and frontend (React/Angular/GraphQL etc.).
• Utilize working knowledge of AI-powered developer tools (e.g., Copilot, Cursor) and actively contribute to AI adoption in development and operational aspects.
• Build and enrich APIs and data services to integrate with partners and our claims engine.
• Collaborate with product managers, operations analysts, and data teams in building solutions that leverage Business Rules Management Systems (BRMS) like Drools, Camunda etc.
• Actively work with the operations team to create efficient processes through automations to improve SLAs.
• Understand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.

To be successful in this role, you'll need:

• Experience: 8+ years as a Full-Stack engineer.
• Full Stack Engineering: Strong proficiency in Java & Spring Cloud, with a deep understanding of microservices architecture and Kafka streaming. Proven experience building UI features using React/Angular with GraphQL.
• AI and Development Tools: Utilize AI-enhanced development tools (e.g., GitHub Copilot, Cursor, WindSurf) regularly. Possess a foundational understanding of Large Language Models (LLMs) and Agentic development for creating AI-native solutions using LangChain, Google ADK, etc.
• Cloud: Extensive experience with Cloud Technologies (AWS/GCP preferred).
• Data: Hands-on experience in data architecture, SQL/PostgreSQL, and developing data-intensive services.
• Rules Engines: Nice to have experience in working with Business Rules Management Systems (BRMS) like Drools, Kogito etc.
• Systems Development: Prior experience in building, launching, and maintaining complex systems.
• Team Collaboration: Work closely with cross-functional teams, including developers, and product managers, to gather requirements and ensure solutions meet business needs.
• Communication: Excellent communication skills across all levels and teams.

Pay Transparency Statement 

This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days 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 205,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.#LI-LN1

At Collective Health, Client Success plays a pivotal role in shaping our client interactions and fostering strong relationships. We are seeking a strategic and experienced leader to rapidly scale and lead our Client Success team. In this role, you will engage directly with post-sale clients, consultants, and brokers, collaborating across functions to design and deliver exceptional experiences for employers.

Reporting to the Chief Revenue Officer, you will be a critical member of the Collective Health leadership team, collaborating across all functions in the company to deliver a world class experience at scale.

What you'll do:

• Lead the Client Success organization, including Directors and Strategic Account Executives, to drive engagement and high performance while managing the full client lifecycle post implementation, including annual renewals and upselling products.
• Be a senior, strategic voice and trusted advisor in client and channel relationship management, particularly with senior leadership. 
• Represent Client Success and our clients, as needed, in quarterly board meetings and externally at conferences and industry events.
• De-escalate and resolve complex client situations both internally and externally, while providing feedback to product, member services and marketing teams for continuous improvement of the company’s products and service offerings.
• Work cross functionally to deliver client impact and quality outcomes as a senior strategic partner on large projects like our value story, transparency strategy and reporting strategy 
• Evaluate existing client success operations and drive improvements to processes, metrics, and performance.
• Partner with Sales Leadership to develop strategies and goals around upsells and renewals resulting in a positive impact to customer lifetime value
• Inspire and mentor a team of Client Success members, ensuring the team is prepared to deliver results as we scale the business year over year. 
• Lead account team activities, including coordination of learning opportunities, insights across market segments, and best practices in client service 
• Exude self-motivated ownership of metric-driven results, continually acting with a sense of urgency to ensure that results are attained, if not exceeded
• Promote culture of learning and continuous improvement
• Champion perpetual change within Collective Health, to ensure that we anticipate market trends and offer industry-leading products and services 

To be successful in this role, you'll need:

• 15+ years in account management/client success (10+ years of leadership experience)
• Strong knowledge of healthcare administration, benefits, insurance, technology, or related domains.
• Comprehensive expertise in product positioning, sales, and integrations.
• Experience and proven success in scaling client success organizations.
• Proven customer experience management across stakeholders.
• Lead the organization in leveraging data analysis to drive strategic decisions, fostering a culture of excellence across teams.
• Strong leadership, strategic thinking, and problem-solving skills.
• Experience with benefits consultants and health benefits ecosystem.
• Excellent communication and relationship-building skills.
• Ability to thrive in a collaborative, startup environment.
• Passion for changing healthcare.

Pay Transparency Statement

This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days 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 1,125,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

The Provider Servicing team is developing integrations with our partners to provide a better experience for our Providers. Ensuring providers receive accurate information they need to provide care and process claims. Information integrity and accuracy is critical and so is providing this information in a secure and timely manner. We are leveraging proven technologies to accomplish this. Collective Health is building modern health management systems, these integrations are a critical part of that.

As a backend engineer, you will be responsible for the ownership and management of Provider Servicing systems. This includes developing new AI-powered solutions and providing support for existing microservices-based applications and integration platforms. Opportunities for growth involve leading an engineering team, gaining exposure to new technology adaptations, and contributing to the company's evolution into a future healthcare platform.

What you'll do:

• Design and develop scalable, secure, and configurable platform services for the Provider Servicing Team.
• Lead backend development and support of services across backend (Java/Spring Cloud) and integration platforms (Mulesoft and others)
• Utilize working knowledge of AI-powered developer tools (e.g., Copilot, Cursor) and actively contribute to AI adoption in development and operational aspects.
• Build and enrich APIs and data services to integrate with partners.
• Collaborate with product managers, operations analysts, customer advocates in building solutions that helps Providers integrate with our platform.
• Understand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.
• Lead and mentor other engineers in the team and help them succeed.
• Actively work with the operations and customer advocates to create efficient processes through automations to improve SLAs.

To be successful in this role, you'll need:

• Experience: 10+ years as a Backend Engineer
• Backend Engineering: Strong proficiency in Java & Spring Cloud, with a deep understanding of microservices architecture and Integration platforms
• AI Tools: Regular use of AI-enhanced development tools (e.g., GitHub Copilot, Cursor, WindSurf).
• Cloud: Extensive experience with Cloud Technologies (AWS/GCP preferred).
• Data: Hands-on experience in data architecture, SQL/PostgreSQL, and developing data-intensive services.
• Systems Development: Prior experience in building, launching, and maintaining complex systems.
• Team Collaboration: Work closely with cross-functional teams, including developers, and product managers, to gather requirements and ensure solutions meet business needs.
• Communication: Excellent communication skills across all levels and teams.

Pay Transparency Statement 

This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days 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 205,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/. #LI-LN1