Healthcare Provider Enterprise Architect
Healthcare Provider Enterprise Architect
Posted on :
18-07-2025
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1 Vacancy
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Monthly Salary
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Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
18-07-2025
Job Description
Role: Healthcare Provider Enterprise Architect
Location: Chicago IL
Job Type: Full time
Job Description
We are seeking a highly experienced Solution Architect with deep Data and Analytics expertise in the Healthcare Providers industry to lead the design and implementation of enterprise data solutions. The ideal candidate will have strong leadership skills the ability to engage with client leadership and a track record of architecting scalable secure and compliant data platforms. This role requires expertise in healthcare data management interoperability AI-driven analytics and cloud-based data architectures to drive data-driven decision-making and innovation in healthcare organizations.
Key Responsibilities:
Data Architecture & Strategy
Design and implement scalable secure and compliant enterprise data architectures for healthcare providers.
Develop and manage data platforms data lakes data warehouses and real-time analytics solutions.
Ensure data governance quality and interoperability across healthcare systems.
Define and implement data strategies aligned with business objectives and regulatory requirements (HIPAA HITECH HITRUST GDPR).
Establish best practices for healthcare data ingestion storage transformation and analytics.
Architect solutions that support AI Machine Learning and Generative AI applications in healthcare.
Client Engagement & Leadership
Act as a trusted advisor to client leadership on data-driven transformation strategies.
Engage with CIOs CMIOs and business leaders to translate business goals into scalable data architectures.
Lead data governance discussions ensuring compliance with industry standards and security policies.
Provide thought leadership on value realization from data monetization analytics and AI adoption.
Present technical roadmaps architecture recommendations and insights to executive stakeholders.
Data Interoperability & Integration
Lead data integration strategies between EHR/EMR systems (Cerner Meditech etc.) claims systems IoMT devices and third-party applications.
Ensure seamless data exchange using FHIR HL7 CDA X12 DICOM and other healthcare interoperability standards.
Architect real-time and batch data pipelines for analytics AI and operational workflows.
Enable cloud-based data platforms (AWS Azure GCP) with hybrid and multi-cloud strategies.
Advanced Analytics & AI Integration
Design data architectures that support predictive analytics AI-driven clinical insights and generative AI use cases.
Implement data pipelines for machine learning and AI applications ensuring scalability and compliance.
Enable real-time and near-real-time analytics for population health precision medicine and clinical decision support.
Work with data scientists and AI engineers to optimize model training deployment and monitoring in healthcare environments.
Governance Security & Compliance
Establish data governance frameworks ensuring data integrity lineage and access control.
Ensure compliance with HIPAA HITECH HITRUST GDPR and other regulatory requirements.
Implement data security best practices including encryption access control and auditing.
Develop and enforce metadata management and master data management (MDM) strategies.
Required Qualifications:
10 years of Total experience with minimum of 5 recent years in Healthcare Provider industry.
Technical Skills
Enterprise Data Architecture: Expertise in designing scalable data platforms for healthcare.
Healthcare Data Standards & Compliance: Strong knowledge of FHIR HL7 DICOM ICD-10 SNOMED LOINC HIPAA HITECH HITRUST.
Cloud & Big Data: Experience with AWS (Redshift S3 Glue) Azure (Synapse Data Factory) GCP (BigQuery Dataflow).
Data Engineering: Proficiency in SQL Spark Hadoop Kafka Airflow ETL/ELT pipelines.
Interoperability & Integration: Experience with EHR integration APIs and real-time streaming.
AI & Generative AI: Understanding of AI-driven analytics NLP in clinical documentation predictive modeling and generative AI in healthcare workflows.
Master Data Management (MDM) & Metadata Management: Experience in data cataloging governance and data lineage tracking.
Security & Compliance: Expertise in data privacy encryption access control and regulatory compliance.
Leadership & Soft Skills
Client Leadership Engagement: Ability to articulate data strategies to C-level executives and business leaders.
Strategic Thinking: Experience in defining enterprise-wide data roadmaps and data-driven transformation strategies.
Cross-functional Collaboration: Ability to work with clinical operational AI and IT teams.
Decision Making & Problem-Solving: Strong analytical skills to identify risks trade-offs and optimal solutions.
Mentorship & Team Leadership: Guide and mentor data engineers data scientists and analytics teams.
Excellent communication stakeholder management and people skills.
Preferred Qualifications
Certifications: AWS/Azure/GCP Data Architect TOGAF HITRUST AI/ML certifications in healthcare.
Knowledge of Generative AI in clinical documentation automation medical imaging AI patient engagement chatbots.
Understanding of Business Models in healthcar e providers (hospitals clinics telemedicine value-based care).
Employment Type
Full-time
Key Skills
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