Senior Level Enterprise Architect Jobs
Senior level enterprise architect jobs put experienced professionals in charge of enterprise-wide technology strategy, major transformation programs, and the cross-functional teams that deliver them. Roles split across 33% remote and hybrid arrangements in Technology & Software, Telecommunications, and Consulting & Professional Services, with employers like Transaction Network Services (TNS), Gusto, and Celonis hiring at this level now.
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About InterScripts:
InterScripts, Inc., was founded in 2017 and is headquartered in Chantilly, Virginia. InterScripts isn’t just another technology provider—we’re a driving force for innovation across healthcare, government, and enterprise. We deliver end-to-end technology solutions that empower organizations to elevate performance, enhance security, and accelerate digital transformation. At the core of our innovation is the industry’s most advanced data management platform, engineered to modernize archival systems, strengthen data architecture, and support the evolving needs of modern health systems. From safeguarding clinical data to enabling intelligent retrieval and long-term compliance, our platform transforms how organizations preserve, access, and leverage their information. Fueled by a commitment to digital disruption, InterScripts helps clients modernize infrastructure, streamline processes, and stay ahead in an ever-changing landscape.
Location: Indiana
Work Schedule: 9:00 AM–5:00 PM EST
Work Mode: Hybrid
Data Analytics / Information Technology
Position Summary
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
Key Responsibilities
Enterprise Architecture and Data Strategy
- 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.
Epic Cogito Stack Ownership
- 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, Radar dashboards, SlicerDicer, and Business Objects universes to ensure consistency, performance, and scalability.
- Lead technical evaluation and adoption of new Epic analytics capabilities, including Epic Cosmos and Epic Agent Factory.
- Ensure Epic analytics environments are properly tuned, monitored, and maintained for performance and reliability.
Epic Cosmos and Agent Factory Enablement
- Lead enterprise strategy for leveraging Epic Cosmos multi-organization data to support benchmarking, research, and predictive analytics initiatives.
- Architect and govern the deployment of Epic Agent Factory based AI agents and automation solutions across clinical and operational workflows.
- Partner with clinical, operational, and data science stakeholders to identify high value use cases for Cosmos data and Agent Factory automation.
- Ensure appropriate governance, validation, and monitoring frameworks are in place for AI agents and Cosmos derived insights.
Predictive Modeling and Advanced Analytics
- Architect the data foundation required to support predictive modeling initiatives, including feature engineering pipelines sourced from Clarity, Caboodle, and Cosmos.
- Partner with data science and clinical informatics teams to operationalize predictive models within Epic workflows (e.g., risk scores, care gap alerts, deterioration indices).
- Ensure predictive model outputs are properly integrated, validated, and monitored within Epic and downstream reporting environments.
- Guide model governance practices including performance monitoring, drift detection, and revalidation cadence in partnership with data science teams.
Epic Gold Stars and Honor Roll Analytics
- Analyze current state reporting and analytics utilization against Gold Stars and Honor Roll benchmarks to identify capability gaps and prioritize remediation.
- Partner with analytics team members and report developers to optimize dashboard design, self-service adoption, and reporting standardization in support of program criteria.
- Track, document, and present analytics maturity progress and program metrics to executive leadership and Epic program representatives.
- Use Gold Stars and Honor Roll participation as a benchmark to continuously elevate enterprise analytics quality, governance, and adoption standards.
Data Governance and Security
- Establish and enforce data governance standards for Epic sourced data across the enterprise, ensuring compliance with HIPAA and organizational security policies.
- Partner with compliance, privacy, and security teams to ensure appropriate access controls, auditing, and data stewardship practices are in place.
- Define and maintain data lineage, metadata management, and documentation standards for enterprise Epic data assets, including Cosmos and Agent Factory outputs.
Cross-Platform Integration
- Architect integration strategies connecting Epic Cogito data, Cosmos, and Agent Factory outputs with enterprise platforms including Microsoft Fabric, Power BI, Azure, and other enterprise data warehouse or lakehouse environments.
- Collaborate with enterprise data teams to ensure Epic data is efficiently and securely made available for downstream 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.
Technical Leadership and Governance
- Serve as a subject matter expert and mentor for Epic analytics developers, BI developers, and analytics engineers.
- Lead architectural design reviews and provide technical guidance on enterprise reporting, analytics, and predictive modeling projects.
- Partner with Epic application teams (Clinical, Revenue Cycle, Ambulatory, etc.) 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.
Strategic Partnership
- Act as a strategic advisor to executive leadership on the capabilities, limitations, and opportunities within the Epic Cogito analytics platform, Cosmos, and Agent Factory.
- Partner with vendor relationships (Epic, Microsoft, and other analytics platform partners) to stay ahead of platform capabilities and roadmap changes.
- Support organizational AI and analytics strategy by ensuring the Epic data foundation is architected to support current and future advanced analytics, predictive modeling, and AI initiatives.
RequirementsEducation
- Bachelor's degree in Computer Science, Information Systems, Health Informatics, or a related field required.
- Master's degree preferred.
Experience
- Minimum 7 to 10 years of experience in healthcare data analytics, data architecture, or Epic application development.
- Minimum 5 years of direct experience working with Epic's Cogito analytics suite (Clarity, Caboodle, Cogito Cloud, Reporting Workbench, SlicerDicer, Radar).
- Direct experience with Epic Cosmos and Epic Agent Factory strongly preferred.
- Experience supporting or architecting predictive modeling initiatives within 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 (HL7, FHIR).
- Prior experience leading or contributing to Epic Gold Stars and/or Honor Roll analytics submissions strongly preferred.
Certifications
- Epic Cogito certification(s) required (Clarity and/or Caboodle Data Model Certification).
- Additional Epic certifications (Reporting Workbench, Business Objects, Radar) strongly preferred.
- Epic Cosmos and/or Agent Factory credentialing preferred as available.
Technical Skills
- Deep expertise in SQL and relational database design.
- Strong understanding of dimensional data modeling and enterprise data warehouse architecture.
- Experience with Microsoft Fabric, Azure Synapse, Power BI, or equivalent enterprise BI and cloud data platforms.
- Familiarity with predictive modeling concepts, feature engineering, and model validation practices.
- Working knowledge of Python, data pipeline tools, and modern data engineering practices a plus.
- Strong understanding of HIPAA compliance and healthcare data governance requirements.
Soft Skills
- Excellent communication skills with the ability to translate complex technical concepts for executive and non-technical audiences.
- Strong leadership and mentorship capabilities.
- Proven ability to manage competing priorities across multiple stakeholders and departments.
- Strategic thinker with strong problem solving and analytical skills.
- Analytical and metrics driven approach to tracking and improving reporting maturity benchmarks.
Preferred Qualifications
- Experience in a multi-hospital or health system enterprise environment.
- Prior experience leading enterprise architecture governance boards or technical steering committees.
- Experience supporting AI/ML or predictive modeling initiatives built on top of Epic data.
- Familiarity with Epic's Cosmos multi-organization data platform and Agent Factory automation framework.
- Direct prior experience achieving Epic Gold Stars or Honor Roll analytics recognition at a health system.
Working Conditions
- Hybrid with periodic onsite presence required for architecture reviews, governance meetings, and stakeholder collaboration.
- Occasional after-hours support may be required for critical system upgrades or maintenance windows.
Physical Requirements
- Ability to sit for extended periods while working at a computer.
- Ability to participate in extended virtual and in-person meetings.
Job Type: Full-time
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Work Location: Hybrid remote in Richmond, IN 47374
About InterScripts:
InterScripts, Inc., was founded in 2017 and is headquartered in Chantilly, Virginia. InterScripts isn’t just another technology provider—we’re a driving force for innovation across healthcare, government, and enterprise. We deliver end-to-end technology solutions that empower organizations to elevate performance, enhance security, and accelerate digital transformation. At the core of our innovation is the industry’s most advanced data management platform, engineered to modernize archival systems, strengthen data architecture, and support the evolving needs of modern health systems. From safeguarding clinical data to enabling intelligent retrieval and long-term compliance, our platform transforms how organizations preserve, access, and leverage their information. Fueled by a commitment to digital disruption, InterScripts helps clients modernize infrastructure, streamline processes, and stay ahead in an ever-changing landscape.
Location: Indiana
Work Schedule: 9:00 AM–5:00 PM EST
Work Mode: Hybrid
Data Analytics / Information Technology
Position Summary
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
Key Responsibilities
Enterprise Architecture and Data Strategy
- 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.
Epic Cogito Stack Ownership
- 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, Radar dashboards, SlicerDicer, and Business Objects universes to ensure consistency, performance, and scalability.
- Lead technical evaluation and adoption of new Epic analytics capabilities, including Epic Cosmos and Epic Agent Factory.
- Ensure Epic analytics environments are properly tuned, monitored, and maintained for performance and reliability.
Epic Cosmos and Agent Factory Enablement
- Lead enterprise strategy for leveraging Epic Cosmos multi-organization data to support benchmarking, research, and predictive analytics initiatives.
- Architect and govern the deployment of Epic Agent Factory based AI agents and automation solutions across clinical and operational workflows.
- Partner with clinical, operational, and data science stakeholders to identify high value use cases for Cosmos data and Agent Factory automation.
- Ensure appropriate governance, validation, and monitoring frameworks are in place for AI agents and Cosmos derived insights.
Predictive Modeling and Advanced Analytics
- Architect the data foundation required to support predictive modeling initiatives, including feature engineering pipelines sourced from Clarity, Caboodle, and Cosmos.
- Partner with data science and clinical informatics teams to operationalize predictive models within Epic workflows (e.g., risk scores, care gap alerts, deterioration indices).
- Ensure predictive model outputs are properly integrated, validated, and monitored within Epic and downstream reporting environments.
- Guide model governance practices including performance monitoring, drift detection, and revalidation cadence in partnership with data science teams.
Epic Gold Stars and Honor Roll Analytics
- Analyze current state reporting and analytics utilization against Gold Stars and Honor Roll benchmarks to identify capability gaps and prioritize remediation.
- Partner with analytics team members and report developers to optimize dashboard design, self-service adoption, and reporting standardization in support of program criteria.
- Track, document, and present analytics maturity progress and program metrics to executive leadership and Epic program representatives.
- Use Gold Stars and Honor Roll participation as a benchmark to continuously elevate enterprise analytics quality, governance, and adoption standards.
Data Governance and Security
- Establish and enforce data governance standards for Epic sourced data across the enterprise, ensuring compliance with HIPAA and organizational security policies.
- Partner with compliance, privacy, and security teams to ensure appropriate access controls, auditing, and data stewardship practices are in place.
- Define and maintain data lineage, metadata management, and documentation standards for enterprise Epic data assets, including Cosmos and Agent Factory outputs.
Cross-Platform Integration
- Architect integration strategies connecting Epic Cogito data, Cosmos, and Agent Factory outputs with enterprise platforms including Microsoft Fabric, Power BI, Azure, and other enterprise data warehouse or lakehouse environments.
- Collaborate with enterprise data teams to ensure Epic data is efficiently and securely made available for downstream 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.
Technical Leadership and Governance
- Serve as a subject matter expert and mentor for Epic analytics developers, BI developers, and analytics engineers.
- Lead architectural design reviews and provide technical guidance on enterprise reporting, analytics, and predictive modeling projects.
- Partner with Epic application teams (Clinical, Revenue Cycle, Ambulatory, etc.) 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.
Strategic Partnership
- Act as a strategic advisor to executive leadership on the capabilities, limitations, and opportunities within the Epic Cogito analytics platform, Cosmos, and Agent Factory.
- Partner with vendor relationships (Epic, Microsoft, and other analytics platform partners) to stay ahead of platform capabilities and roadmap changes.
- Support organizational AI and analytics strategy by ensuring the Epic data foundation is architected to support current and future advanced analytics, predictive modeling, and AI initiatives.
RequirementsEducation
- Bachelor's degree in Computer Science, Information Systems, Health Informatics, or a related field required.
- Master's degree preferred.
Experience
- Minimum 7 to 10 years of experience in healthcare data analytics, data architecture, or Epic application development.
- Minimum 5 years of direct experience working with Epic's Cogito analytics suite (Clarity, Caboodle, Cogito Cloud, Reporting Workbench, SlicerDicer, Radar).
- Direct experience with Epic Cosmos and Epic Agent Factory strongly preferred.
- Experience supporting or architecting predictive modeling initiatives within 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 (HL7, FHIR).
- Prior experience leading or contributing to Epic Gold Stars and/or Honor Roll analytics submissions strongly preferred.
Certifications
- Epic Cogito certification(s) required (Clarity and/or Caboodle Data Model Certification).
- Additional Epic certifications (Reporting Workbench, Business Objects, Radar) strongly preferred.
- Epic Cosmos and/or Agent Factory credentialing preferred as available.
Technical Skills
- Deep expertise in SQL and relational database design.
- Strong understanding of dimensional data modeling and enterprise data warehouse architecture.
- Experience with Microsoft Fabric, Azure Synapse, Power BI, or equivalent enterprise BI and cloud data platforms.
- Familiarity with predictive modeling concepts, feature engineering, and model validation practices.
- Working knowledge of Python, data pipeline tools, and modern data engineering practices a plus.
- Strong understanding of HIPAA compliance and healthcare data governance requirements.
Soft Skills
- Excellent communication skills with the ability to translate complex technical concepts for executive and non-technical audiences.
- Strong leadership and mentorship capabilities.
- Proven ability to manage competing priorities across multiple stakeholders and departments.
- Strategic thinker with strong problem solving and analytical skills.
- Analytical and metrics driven approach to tracking and improving reporting maturity benchmarks.
Preferred Qualifications
- Experience in a multi-hospital or health system enterprise environment.
- Prior experience leading enterprise architecture governance boards or technical steering committees.
- Experience supporting AI/ML or predictive modeling initiatives built on top of Epic data.
- Familiarity with Epic's Cosmos multi-organization data platform and Agent Factory automation framework.
- Direct prior experience achieving Epic Gold Stars or Honor Roll analytics recognition at a health system.
Working Conditions
- Hybrid with periodic onsite presence required for architecture reviews, governance meetings, and stakeholder collaboration.
- Occasional after-hours support may be required for critical system upgrades or maintenance windows.
Physical Requirements
- Ability to sit for extended periods while working at a computer.
- Ability to participate in extended virtual and in-person meetings.
Job Type: Full-time
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Work Location: Hybrid remote in Richmond, IN 47374
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Find JobsSenior Level Enterprise Architect Job Market
Who's Hiring
- Transaction Network Services (TNS)20
- Gusto6
- Celonis4
- Fivetran3
- Jobot2
Top Industries Hiring
- Technology & Software40
- Telecommunications21
- Consulting & Professional Services8
- Fintech7
- Banking & Financial Services4
Senior Level Enterprise Architect Jobs: Frequently Asked Questions
How do I get a senior level enterprise architect job?
Employers hiring at this level want candidates who can demonstrate ownership of enterprise-wide architecture decisions, not just participation in them. Strong candidates show a history of leading technology roadmaps, influencing executive stakeholders, and mentoring junior architects. Familiarity with major frameworks such as TOGAF or Zachman, combined with cross-domain experience in cloud, security, and integration, gives applicants a clear edge over generalist candidates.
Which companies hire senior level enterprise architects?
Companies hiring senior level enterprise architects right now include Transaction Network Services (TNS), Gusto, and Celonis, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to concentrate in large enterprises, systems integrators, and technology-forward organizations running complex, multi-year modernization programs.
Are there remote senior level enterprise architect jobs?
Yes, remote and hybrid opportunities are common at this level. About 33% of senior level enterprise architect openings are remote or hybrid as of September 2026, reflecting how organizations hire experienced architects to lead distributed teams and engage stakeholders across multiple locations without requiring daily on-site presence.
What makes an enterprise architect role senior level?
Senior level enterprise architect roles are defined by scope and accountability rather than task execution. Professionals at this stage own the end-to-end technology architecture for an organization or a major business domain, set long-term standards, drive governance decisions, and mentor mid-level architects. They are expected to influence business strategy directly and translate organizational priorities into architecture roadmaps that other teams execute.
Which industries hire the most senior level enterprise architects?
Senior level enterprise architect roles concentrate in Technology & Software, Telecommunications, and Consulting & Professional Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they run large, complex technology ecosystems that require senior architects to lead ongoing modernization, integration, and governance work at scale.