Enterprise Epic Architect

About the role

The Enterprise Epic Architect is a senior technical leadership role responsible for the strategic design, governance, and optimization of the enterprise Epic analytics ecosystem, with a primary focus on the Epic Cogito analytics stack (Clarity, Caboodle, Cogito Cloud, SlicerDicer, Reporting Workbench, Radar, and Business Objects), Epic Cosmos, and Epic Agent Factory. This role serves as the enterprise authority on Epic data architecture, predictive modeling enablement, and analytics governance, ensuring infrastructure is scalable, secure, well governed, and aligned with organizational strategy across clinical, operational, and financial domains. The Enterprise Epic Architect partners closely with Epic application teams, enterprise data analytics, IT infrastructure, compliance, and executive leadership to build a unified, trusted, and high performing analytics foundation. This role also leads analytics maturity efforts under Epic's Gold Stars and Honor Roll recognition programs, driving enterprise wide adoption of Epic reporting and analytics best practices to achieve and maintain industry recognized analytics excellence.

Reports To: Director Data Analytics, AI and Business Systems; FLSA Status: Exempt; Department: Data Analytics and Insights

Responsibilities

• Design and maintain the enterprise architecture for Epic's Cogito analytics suite, including Clarity, Caboodle, Cogito Cloud, and associated reporting and analytics tools.
• Define data architecture standards, governance policies, and best practices for extraction, transformation, and consumption of Epic clinical and operational data.
• Serve as the primary technical authority on Epic data models, schema design, and downstream data integration strategy.
• Develop and maintain the enterprise roadmap for Epic analytics capabilities, including migration and optimization strategy for Cogito Cloud, in alignment with organizational priorities.
• Architect and optimize Clarity, Caboodle, and Cogito Cloud data warehouse structures to support enterprise reporting, self-service analytics, and advanced data science initiatives.
• Provide architectural oversight for Reporting Workbench,