Job Details

Location:This position islocatedat our Dublin, OH campus with hybrid flexibility.

Who weare

Founded in 1999 and headquartered in Central Ohio, we're a privately-owned, independent healthcare navigation organization. We believe that no one should have to navigate the cost and complexity of healthcare alone, and we're on a mission to make healthcare simpler and more effective for our millions of members. Our big-hearted, tech-savvy team fights to ensure that our members get the care they need, when they need it, at the most affordable cost – that's why we call ourselves Healthcare Warriors®.

We're committed to building diverse and inclusive teams – more than 2,000 of us and counting – so if you're excited about this position, we encourage you to apply – even if your experience doesn't match every requirement.

About the role

We'relooking for a visionaryPrincipal Analytics Platform Engineerto lead the architectural strategy and engineering of our next-generation analytics platform. This platform will serve both external clients and internal teams, delivering dynamic data visualizations, actionable insights, and AI-augmented recommendations through a highly customized ABI (Analytics&Business Intelligence) solution.

The ideal candidate combines strong engineeringexpertisewith a deep understanding of data platforms and analytics products. You will guide platform selection, design system integration patterns, and lead technical execution to ensure a cohesive, scalable, and intuitive analytics experience—driven by business needs and user expectations.

Whatyou'lldo

• Serve as the technical lead for embedding and customizing ABI platforms (e.g., Apache Superset, AWSQuickSight, or similar) into a unified client-facing analytics experience.
• Define and drive architectural direction for an extensible analytics delivery platform that supports multiple audiences and use cases.
• Partner with product, engineering, AI, and analytics teams to translate requirements into scalable design and platform capabilities.
• Establish platform integration standards—handling identity, data access, visualization layers, and extensibility frameworks.
• Lead implementation of platform components, data APIs, and backend systems supporting real-time and scheduled insights.
• Develop frameworks and reusable components that accelerate feature delivery while ensuring maintainability and security.
• Ensure the analytics platform adheres to security best practices, including data protection, access control, and secure deployment patterns.
• Proactivelyidentifyand mitigate risks tomaintaina stable, secure, and compliant analytics environment.
• Mentor engineering staff and influence cross-functional delivery teams with technical leadership and best practices.
• Stay current on emerging ABI, data platform, and embedded analytics trends to inform platform evolution.
• Perform other duties and responsibilities as assigned to support the broader goals of the team and organization.
• Other duties as assigned

What you'll bring

• 8+ years in software or analytics engineering with deep experience delivering ABI platforms or data-driven applications.
• Demonstrated experience embedding or extending modern ABI platforms to support product use cases,especially forclient-facing applications.
• Strong backend and frontend engineering skills, especially in Python and JavaScript/TypeScript-based environments.
• Deep knowledge of data modeling, querying (SQL), and connecting analytics platforms to modern data warehouses (e.g., Snowflake,BigQuery).
• Experience with authentication/authorization integration, multi-tenancy, and performance tuning in analytics applications.
• Cloud experience (AWS, Azure, or GCP) and familiarity with containerized deployments (Docker, Kubernetes).
• Excellent communication and cross-team collaboration skills.
• Protect and take care of our company and member's data every day by committing to work within our company ethics and policies
• Nice to Have
  • Experience with headless BI or composable data product architectures.
  • Backgroundinhealthcare,healthtech, oranother regulated industry.
  • Exposure to AI/ML integration and enabling LLM-driven insights in analytics environments.
  • Strong administrative/technical skills; Comfort working on a PC using Microsoft Office (Outlook, Word, Excel, PowerPoint), IM/video conferencing (Teams&Zoom), and telephones efficiently.
  • A high degree of personal accountability and trustworthiness, a commitment to working within Quantum Health's policies,valuesand ethics, and to protecting the sensitive data entrusted to us.

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