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 goals
• Lead 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 opportunities
• Ensure compliance with healthcare regulations and standards (HIPAA, HL7, FHIR, etc.)
• Architect secure, scalable, and high-performing AI-enabled healthcare platforms
• Integrate AI solutions with EHR/EMR systems and other healthcare applications
• Establish architecture governance, standards, and best practices for AI adoption
• Drive data architecture strategy including interoperability and data exchange
• Oversee implementation of data privacy, security, and ethical AI practices
• Provide technical leadership to cross-functional teams (data engineering, AI/ML, application teams)
• Conduct architecture reviews and ensure continuous improvement
• Stay updated with emerging healthcare technologies and AI trends

Required Skills & Qualifications:

• 12+ years of IT experience with 5+ years in Enterprise Architecture
• Strong experience in Healthcare domain (Provider/Payer systems)
• Hands-on experience in AI/ML, Data Science, and Advanced Analytics
• Experience working with healthcare data standards (HL7, FHIR, ICD, CPT)
• Strong knowledge of EHR/EMR systems integration
• Expertise in cloud platforms (AWS, Azure, or GCP) with AI/ML services
• Experience with big data technologies and data governance frameworks
• Strong understanding of microservices architecture and API integrations
• Knowledge of DevOps/MLOps practices
• Excellent 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