Enterprise Epic Architect (Onsite)

Reid Health•Complex, NC

3d•Onsite

About The Position

The Enterprise Epic Architect is a senior technical leadership role responsible for the strategic design, governance, and optimization of Reid Health’s enterprise Epic analytics ecosystem. The position focuses primarily on the Epic Cogito analytics stack—including Clarity, Caboodle, Cogito Cloud, SlicerDicer, Reporting Workbench, Radar, and Business Objects—as well as Epic Cosmos and Epic Agent Factory. The architect serves as the enterprise authority on Epic data architecture, predictive modeling enablement, and analytics governance, ensuring a scalable, secure, well-governed infrastructure aligned with organizational strategy across clinical, operational, and financial domains. The role partners with Epic application teams, enterprise data analytics, IT infrastructure, compliance, and executive leadership to build a unified and trusted analytics foundation. It also leads Reid Health’s analytics maturity efforts under Epic’s Gold Stars and Honor Roll recognition programs, promoting adoption of reporting and analytics best practices. The position reports to the Director Data Analytics, AI and Business Systems. It is salaried, exempt, and onsite. Applicants must be authorized to work in the U.S. without current or future employer sponsorship.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Health Informatics, or a related field.
Minimum 7 to 10 years of experience in healthcare data analytics, data architecture, or Epic application development.
Minimum 5 years of direct experience with Epic’s Cogito analytics suite, including Clarity, Caboodle, Cogito Cloud, Reporting Workbench, SlicerDicer, and Radar.
Experience supporting or architecting predictive modeling initiatives in a healthcare data environment.
Demonstrated experience architecting enterprise-scale data warehouse or lakehouse solutions in a healthcare environment.
Experience with Epic data model structures and healthcare data standards such as HL7 and FHIR.
Epic Cogito certification(s) required, specifically Clarity and/or Caboodle Data Model Certification.
Authorization to work in the U.S. without current or future employer sponsorship.

Nice To Haves

Direct experience with Epic Cosmos and Epic Agent Factory.
Prior experience leading or contributing to Epic Gold Stars and/or Honor Roll analytics submissions.

Responsibilities

Design and maintain 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 extracting, transforming, and consuming 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 Cogito Cloud migration and optimization.
Architect and optimize Clarity, Caboodle, and Cogito Cloud data warehouse structures for enterprise reporting, self-service analytics, and data science initiatives.
Provide architectural oversight for Reporting Workbench, Radar dashboards, SlicerDicer, and Business Objects universes.
Lead technical evaluation and adoption of Epic analytics capabilities, including Epic Cosmos and Epic Agent Factory.
Ensure Epic analytics environments are tuned, monitored, and maintained for performance and reliability.
Lead enterprise strategy for using Epic Cosmos multi-organization data for benchmarking, research, and predictive analytics.
Architect and govern deployment of Epic Agent Factory-based AI agents and automation across clinical and operational workflows.
Identify high-value Cosmos and Agent Factory use cases with clinical, operational, and data science stakeholders, and establish appropriate governance, validation, and monitoring frameworks.
Architect data foundations and feature engineering pipelines for predictive modeling using Clarity, Caboodle, and Cosmos data.
Partner with data science and clinical informatics teams to operationalize predictive models in Epic workflows and ensure model outputs are integrated, validated, and monitored.
Guide model governance practices, including performance monitoring, drift detection, and revalidation cadence.
Assess reporting and analytics utilization against Epic Gold Stars and Honor Roll benchmarks, identify gaps, and prioritize remediation.
Work with analytics team members and report developers to improve dashboard design, self-service adoption, and reporting standardization.
Track, document, and present analytics maturity progress and program metrics to executive leadership and Epic program representatives.
Establish and enforce governance standards for Epic-sourced data, ensuring compliance with HIPAA and organizational security policies.
Partner with compliance, privacy, and security teams on access controls, auditing, and data stewardship.
Define and maintain data lineage, metadata management, and documentation standards for Epic data assets, including Cosmos and Agent Factory outputs.
Architect integration between Epic Cogito, Cosmos, and Agent Factory outputs and Microsoft Fabric, Power BI, Azure, and other enterprise data warehouse or lakehouse environments.
Collaborate with enterprise data teams to make Epic data available securely and efficiently for reporting, analytics, and AI/ML use cases.
Support integration of Epic data with emerging AI and automation initiatives, including data agents, AI Foundry, and Cosmos-based solutions.
Mentor Epic analytics developers, BI developers, and analytics engineers; lead architectural design reviews and provide technical guidance.
Partner with Epic application teams to ensure architectural alignment across the enterprise Epic ecosystem.
Represent Data Analytics in enterprise architecture review boards, IT governance committees, and Epic upgrade planning sessions.
Advise executive leadership on Epic Cogito, Cosmos, and Agent Factory capabilities, limitations, and opportunities.
Work with Epic, Microsoft, and other analytics platform partners to stay informed about platform capabilities and roadmap changes.
Support organizational AI and analytics strategy by ensuring the Epic data foundation can support current and future analytics, predictive modeling, and AI initiatives.