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Designs technically feasible healthcare data and technology solutions during the sales process. Leads client discovery, requirements gathering, architecture evaluation, scoping, estimates, proposals, demonstrations, and implementation planning. Collaborates with sales, consulting, technical, and delivery teams; translates between executives and technical stakeholders; identifies risks, dependencies, assumptions, and tradeoffs; and supports the transition from sales to delivery.

Lead Epic Cogito, Caboodle, and Clarity data migration from on-premises environments to Azure cloud. Validate data integrity, reporting parity, and performance; build and optimize SQL reports and dashboards using Epic reporting tools; translate requirements into cloud architecture and workflow decisions; manage migration risks, documentation, runbooks, status reporting, and knowledge transfer; and mentor customer teams throughout implementation.

Provide Epic HB Contracts advisory and healthcare IT consulting services, driving process improvement, managing complex projects, solving client challenges, and collaborating with healthcare organizations to improve operational workflows and data ecosystems.

Design, build, and maintain scalable Snowflake data pipelines and workflows. Ingest, transform, and deliver data from EHRs, claims, APIs, and CRM systems into analytics-ready structures. Optimize Snowflake performance and costs through warehouse sizing, query tuning, data modeling, and security design. Implement orchestration, DevOps, version control, and CI/CD practices while collaborating with client architects and analysts. The role also involves explaining technical tradeoffs, supporting repeatable deployments, adapting to unfamiliar challenges, and mentoring others.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

Lead analytics strategy and delivery for healthcare clients: gather reporting requirements, design and build enterprise data platforms (Databricks/lakehouse), develop and validate reports (including Epic reporting), influence decentralized data teams, and provide post-implementation support and modernization.

Lead analytics and data-product initiatives for healthcare clients: gather reporting requirements, design and develop reports/products, test and validate, provide post-implementation support, and partner with stakeholders to drive adoption and measurable value.

As a Data Engineer, you will design, build, and maintain data pipelines and workflows, transforming raw data sources into clean, reliable data streams for healthcare clients.

Lead Epic HIM initiatives by driving process improvement, managing complex implementations and projects, advising clients, and solving technical and workflow problems. Requires Epic HIM module certifications, 3+ years as an Epic Advisor, strong communication, analytical, and project management abilities.

Design, build, validate, deploy, and monitor machine learning and generative AI solutions for healthcare and life sciences. Work with EHR, claims, and registry data to produce clinical predictions, operational optimizations, and LLM-powered applications. Translate results for stakeholders, document best practices, and mentor client teams.