Healthcare Director-Client services

Job Title: Enterprise Architect – AI (Healthcare Domain) Location: New York City, NY Experience: 12+ Years Role Summary We are seeking an experienced Enterprise Architect with strong expertise in Artificial Intelligence (AI) and Healthcare domain to lead the design and implementation of enterprise-wide solutions. The candidate will drive AI-led digital transformation initiatives while ensuring alignment with healthcare regulations, data standards, and business objectives. Key Responsibilities Define and drive enterprise architecture strategy aligned with healthcare business goalsLead design and implementation of AI/ML solutions for healthcare use cases (clinical analytics, patient engagement, diagnostics, revenue cycle, etc.)Collaborate with clinical, operational, and business stakeholders to identify AI-driven opportunitiesEnsure compliance with healthcare regulations and standards (HIPAA, HL7, FHIR, etc.)Architect secure, scalable, and high-performing AI-enabled healthcare platformsIntegrate AI solutions with EHR/EMR systems and other healthcare applicationsEstablish architecture governance, standards, and best practices for AI adoptionDrive data architecture strategy including interoperability and data exchangeOversee implementation of data privacy, security, and ethical AI practicesProvide technical leadership to cross-functional teams (data engineering, AI/ML, application teams)Conduct architecture reviews and ensure continuous improvementStay updated with emerging healthcare technologies and AI trends Required Skills & Qualifications 12+ years of IT experience with 5+ years in Enterprise ArchitectureStrong experience in Healthcare domain (Provider/Payer systems)Hands-on experience in AI/ML, Data Science, and Advanced AnalyticsExperience working with healthcare data standards (HL7, FHIR, ICD, CPT)Strong knowledge of EHR/EMR systems integrationExpertise in cloud platforms (AWS, Azure, or GCP) with AI/ML servicesExperience with big data technologies and data governance frameworksStrong understanding of microservices architecture and API integrationsKnowledge of DevOps/MLOps practicesExcellent stakeholder management and communication skills Preferred Qualifications Experience in Generative AI (LLMs, NLP for clinical documentation, chatbots)TOGAF or cloud certifications (AWS/Azure Architect)Exposure to healthcare analytics, population health, or value-based care models