Director, Partner Integration

Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: Qualified Health is seeking a Director of Partner Integration to own the entire data relationship with some of the most prestigious health systems in the country. As a Director of Partner Integration, you run your own pod: a small, elite team of Senior Data Engineers who build, validate, and operate the data infrastructure that powers AI-driven clinical and operational workflows. Your pipelines don't just move data — they directly enable AI systems that help clinicians make better decisions for their patients. You'll have a Director title because that's what this work requires: executive-level judgment, client relationship ownership, and technical leadership all in one person. Key Responsibilities Own the end-to-end data integration for 2-4 health system pa [... source excerpt omitted ...] ction operations, with full accountability for delivery timelines and customer satisfaction Lead a pod of 2-3 Senior Data Engineers, mentoring them while delivering against tight customer timelines (initial rollout target: <90 days from kickoff) 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 Serve as the primary technical relationship owner for your partners' data teams, running orientation calls, scoping sessions, and regular check-ins at the CTO/CMIO level Collaborate with the Product Data Science team to scope [... source excerpt omitted ...] e pipeline outputs support backtesting, production inference, and evaluation Required Qualifications: 7+ years as a data engineer or engineering leader, with experience building production data pipelines 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 sy