Qualified Health PBC - Director, Healthcare AI Partner Integration
Requirements
• 7+ years as a data engineer or engineering leader, with experience building production data pipelines, leading technical teams, and owning client relationships end-to-end • Strong expertise in Epic Clarity/Caboodle data models—you know your way around the clinical tables that power healthcare AI • Proficiency with Databricks (PySpark, Delta Lake), SQL Server, and Azure cloud services (ADLS, Key Vault, ADF) • Experience with FHIR/HL7 healthcare interoperability standards and data transformation patterns • Executive-level client-facing communication—you can present data architecture decisions to a health system CTO, scope a new workflow with a CMIO, and debug a complex SQL query in the same day • Consultant mindset: the ability to earn partner trust quickly, adapt to new environments, and deliver high-quality outcomes under tight timelines • Data quality obsession—you build validation frameworks and monitoring, not just pipelines; you catch problems before the partner does • Ownership mentality: takes full accountability for team delivery, partner outcomes, and technical quality from scoping through production • Critical thinking: applies structured reasoning to evaluate options, anticipate risks, and make sound decisions independently under uncertainty • Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field • Experience with healthcare data from multiple EHR vendors (Epic, Cerner, eCW, athenahealth, NextGen) • Terraform or infrastructure-as-code experience for tenant provisioning • Background in healthcare consulting, EHR implementation, forward deployment, or health system IT • Experience with real-time data processing (HL7 feeds, FHIR subscriptions, streaming pipelines) • Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate engineering and prototyping • Prior experience managing or mentoring forward-deployed engineers or technical consultants • Technical Environment: • Our data infrastructure is built on modern cloud technologies including: • Azure Databricks + Data Factory (plus Fabric and Snowflake integrations) • Azure Databricks + Data Factory • PySpark for distributed data processing • PySpark • GitHub Actions + Terraform for CI/CD and Infrastructure as Code • GitHub Actions + Terraform • Python with type-safe patterns and modern frameworks • Python • Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas • What Success Looks Like: • High-quality data pipelines delivered on schedule with thorough testing and documentation • High-quality data pipelines • Proactive issue identification with technical problems caught and resolved before impacting partners • Proactive issue identification • Reusable components that reduce implementation time for subsequent integrations • Reusable components • Clean production deployments with minimal post-launch issues • Clean production deployments • Technical credibility with partner IT teams based on quality of work and consulting prescence • Technical credibility • A high-performing pod of Healthcare AI Solutions Engineers who grow under your leadership and consistently deliver partner outcomes. • Impact & Growth Opportunity: • As aDirector, Healthcare AI Partner Integration at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale.
Responsibilities
• Own the end-to-end data integration for 2–4 health system partners—from initial onboarding through live production operations—with full accountability for delivery timelines and partner satisfaction • Own the end-to-end data integration • Lead a pod of 2–3 Healthcare AI Solutions Engineers, mentoring and developing forward-deployed consultants while delivering against tight partner timelines (initial rollout target: <90 days from kickoff) • Lead a pod of 2–3 Healthcare AI Solutions Engineers • Serve as the primary technical relationship owner for your partners’ data and IT teams—running orientation calls, scoping sessions, and executive check-ins at the CTO/CMIO level, and bringing a consultant’s ability to communicate complex technical decisions to senior stakeholders • Serve as the primary technical relationship owner • Design and build data pipelines that ingest Epic Clarity data, transform it through FHIR standards, and deliver AI-ready datasets via Delta Lake and Delta Sharing—the foundation for everything the product does; leverage AI-assisted development tooling to accelerate delivery and improve quality • Design and build data pipelines • Collaborate with the Product, AI Engineering and Data Science teams to scope new workflow data requirements, support product prototyping initiatives, and ensure pipeline outputs support backtesting, production inference, and evaluation • Collaborate with the Product, AI Engineering and Data Science teams • Drive continuous improvement of integration patterns, tooling, and technical standards—building reusable components that accelerate future deployments and raise the quality bar across the team • Drive continuous improvement
Benefits
• Mission that matters: We partner with the country's leading health systems to safely deploy AI that improves patient care, operational efficiency, and financial performance. Your work directly impacts clinical outcomes for millions of patients. • Serious traction: 14+ health system partners including the University of Texas system, University of Rochester Medical Center and Jefferson Health — scaling to 100K+ users. • Public Benefit Corporation: We're organized to prioritize patient outcomes alongside business performance. This isn't lip service — it's in our charter. • Comp that competes: We offer market competitive base salary, meaningful equity with real upside, and comprehensive benefits. We are happy to offer flexible working hours and an inclusive environment that fosters creativity and innovation, • Our Commitment to Diversity
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