Epic Cogito Solutions Architect

Epic Cogito Solutions Architect
Department: Data Analytics and Information Technology
Reports To: Director – Data Analytics, AI and Business Systems
Position Summary
The EEpic Cogito Solutions Architect is a senior technical leadership role responsible for designing, governing, and optimizing the organization’s Epic analytics and data architecture. This position focuses on the Epic Cogito ecosystem, including Clarity, Caboodle, Cogito Cloud, SlicerDicer, Reporting Workbench, Radar, and Business Objects, while supporting emerging capabilities such as Epic Cosmos and Epic Agent Factory.
The role will establish scalable and secure data architecture standards, strengthen enterprise analytics governance, and enable advanced reporting, predictive modeling, and AI-driven initiatives across clinical, operational, and financial domains.
Working closely with Epic application teams, enterprise data engineering, IT infrastructure, compliance, and executive leadership, the architect will drive analytics modernization and improve reporting maturity. The position will also support Epic Gold Stars and Honor Roll initiatives by advancing reporting standards, self-service analytics adoption, and enterprise-wide analytics best practices.
Key Responsibilities
1. Enterprise Data Architecture and Strategy
Design and maintain the enterprise architecture for Epic analytics platforms, including Clarity, Caboodle, and Cogito Cloud.
Establish data modeling standards, governance frameworks, and best practices for extracting, transforming, and consuming Epic data.
Define data integration strategies and ensure consistency across clinical, operational, and financial reporting environments.
Develop roadmaps for Epic analytics modernization, cloud adoption, scalability, and performance optimization.
Evaluate emerging Epic capabilities and recommend solutions aligned with organizational data and AI strategies.
2. Epic Analytics Platform Management
Architect and optimize Clarity and Caboodle data warehouse environments to support enterprise reporting, business intelligence, and advanced analytics.
Provide technical oversight for SlicerDicer, Reporting Workbench, Radar dashboards, and Business Objects.
Evaluate and support the adoption of Cogito Cloud and other evolving Epic analytics capabilities.
Ensure analytics platforms meet performance, reliability, scalability, and availability requirements.
Establish standards for data quality, reporting consistency, and analytics platform maintenance.
3. Epic Cosmos and AI Enablement
Develop strategies for leveraging Epic Cosmos data to support benchmarking, research, population health, and predictive analytics.
Guide the architecture and governance of Epic Agent Factory-based AI agents and workflow automation solutions.
Collaborate with clinical, operational, and data science teams to identify opportunities for AI-enabled process improvement.
Establish validation, monitoring, and governance practices for AI-generated outputs and Cosmos-derived insights.
Support the integration of Epic data with enterprise AI platforms, including Azure AI Foundry and related analytics technologies.
4. Predictive Modeling and Advanced Analytics
Design data foundations and pipelines that support predictive modeling using Clarity, Caboodle, and eligible Cosmos data.
Partner with data science and clinical informatics teams to operationalize predictive models within Epic workflows.
Support use cases such as patient risk stratification, care gap identification, and clinical deterioration monitoring.
Ensure model outputs are appropriately integrated into Epic applications and downstream analytics platforms.
Establish practices for model validation, performance monitoring, drift detection, and periodic revalidation.
5. Epic Gold Stars and Honor Roll Programs
Assess existing Epic reporting and analytics capabilities against Gold Stars and Honor Roll benchmarks.
Identify capability gaps and develop improvement plans to strengthen analytics maturity and adoption.
Collaborate with report developers and analytics teams to improve dashboard usability, reporting standardization, and self-service capabilities.
Monitor and document program progress, key metrics, and analytics maturity improvements.
Present progress and recommendations to executive leadership and relevant Epic stakeholders.
6. Data Governance, Privacy, and Security
Establish and maintain governance standards for Epic-sourced data across enterprise systems.
Ensure compliance with HIPAA, organizational security policies, and applicable data privacy requirements.
Partner with security, compliance, and privacy teams to implement appropriate access controls, auditing, and data stewardship practices.
Define standards for data lineage, metadata management, documentation, and data quality.
Ensure appropriate governance of data assets generated through Cosmos, Agent Factory, and predictive analytics initiatives.
7. Enterprise Platform Integration
Design integration strategies connecting Epic analytics platforms with Microsoft Fabric, Azure Synapse, Power BI, and enterprise data warehouse or lakehouse solutions.
Collaborate with data engineering teams to enable secure and efficient data access for reporting, analytics, and AI/ML applications.
Support integration with enterprise data pipelines, AI platforms, and automation frameworks.
Promote interoperability and alignment with healthcare data standards, including HL7 and FHIR.
Ensure enterprise integrations follow established security, governance, and performance standards.
8. Technical Leadership and Collaboration
Serve as the technical subject matter expert for Epic data architecture, analytics, and reporting solutions.
Mentor Epic analytics developers, BI developers, data engineers, and analytics team members.
Lead architecture reviews and provide technical guidance on enterprise reporting and advanced analytics projects.
Collaborate with Epic application teams across clinical, ambulatory, and revenue cycle functions.
Participate in enterprise architecture reviews, IT governance meetings, and Epic upgrade planning activities.
Advise executive leadership on Epic analytics capabilities, limitations, modernization opportunities, and long-term platform strategy.
Required Qualifications
Education
Bachelor’s degree in Computer Science, Information Systems, Health Informatics, or a related field required.
Master’s degree in a relevant discipline preferred.
Professional Experience
7–10 years of experience in healthcare analytics, data architecture, healthcare IT, or Epic application development.
At least 5 years of hands-on experience with the Epic Cogito analytics ecosystem, including Clarity, Caboodle, Reporting Workbench, SlicerDicer, Radar, and related tools.
Experience designing enterprise-scale healthcare data warehouses, analytics platforms, or lakehouse solutions.
Experience supporting predictive modeling, advanced analytics, or AI/ML initiatives in a healthcare environment.
Strong understanding of Epic data models, healthcare data integration, and standards such as HL7 and FHIR.
Experience with Epic Cosmos and Epic Agent Factory is strongly preferred.
Experience contributing to Epic Gold Stars or Honor Roll analytics initiatives is highly desirable.
Mandatory Epic Certifications
Candidates must possess the following certifications:
Epic Clarity Administration
Epic Clarity Data Model
Epic Caboodle Administration
Epic Caboodle Data Model
Epic Cogito Fundamentals
Technical Skills
Advanced SQL skills and strong knowledge of relational database design.
Expertise in dimensional modeling, enterprise data warehouse architecture, and data integration.
Experience with Microsoft Fabric, Azure Synapse, Power BI, or equivalent cloud analytics platforms.
Understanding of predictive modeling, feature engineering, and model validation processes.
Familiarity with Python, modern data pipelines, and data engineering practices is an advantage.
Strong knowledge of healthcare data governance, HIPAA compliance, and information security principles.
Soft Skills
Excellent verbal and written communication skills, including the ability to explain complex technical concepts to executive and non-technical stakeholders.
Strong technical leadership, mentoring, and stakeholder management skills.
Ability to manage multiple priorities across cross-functional teams.
Strategic thinking, problem-solving, and analytical decision-making capabilities.
A metrics-driven approach to improving enterprise reporting and analytics maturity.
Preferred Qualifications
Experience working within a multi-hospital or large integrated healthcare system.
Previous experience leading enterprise architecture reviews or technical governance committees.
Experience implementing AI/ML solutions or predictive analytics using Epic data.
Familiarity with Ep

Work arrangement
Yes