You will own the marketing engine to drive Qualified Health's narrative and pipeline growth among health system executives. This involves leading product marketing, sales enablement, brand positioning, and content strategy to establish the company as an authority in healthcare AI.
You will serve as the primary legal lead for commercial contracting with health systems and life sciences partners while managing regulatory compliance and legal operations. This role involves establishing internal legal processes, overseeing outside counsel, and ensuring consistent contractual protections across the company's portfolio.
Lead the platform-specific build to migrate health systems from legacy connectivity to modern, AI-ready lakehouses. Partner directly with customer IT teams on-site to design ingestion pipelines, configure governance, and develop reusable technical accelerators.
Lead the technical architecture and engineering for data modernization engagements within healthcare systems. Manage a team of engineers to replace legacy data environments with modern cloud platforms to enable AI deployment.
Lead the delivery lifecycle for data modernization engagements, helping health system partners transition to cloud-native Azure Databricks environments. Act as the primary point of accountability for scoping, milestone tracking, and coordinating technical resources to enable AI workflows.
Build and lead a team of Epic Forward Deployed Engineers to integrate AI-powered clinical tools into health system environments. Serve as the executive technical sponsor for strategic clients, owning the end-to-end journey from workflow discovery to production delivery.
Build and lead a team of data engineers to create reusable data product artifacts and clinical AI workflows. Establish technical standards and drive the architecture for scalable data provisioning and agentic LLM integration.
Own the cross-platform reference architecture for modern data platforms across Databricks, Snowflake, and Fabric for healthcare clients. Lead technical discovery, manage a team of data engineers, and serve as the primary technical lead during client engagements.
