Senior Data and AI Architect - Health Care

Leading hospital and healthcare provides that is in the forefront of data and analytics technology transformation initiatives to improve patient outcomes is seeking a seasoned Senior Data and AI Architect. This is a critical, high level hand-on role will be responsible for designing and architecting the organization’s AI-ready data Lakehouse, defining modern data architecture patterns, establishing enterprise-wide data strategy, governance, and integration standards across the enterprise

Key Responsibilities:

• Drive the vision data strategy, and roadmap for the enterprise data architecture
• Establish robust data governance, data management, enterprise data models across domains, data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and integrity across all systems and departments.
• Design and implement an AI-ready data Lakehouse architecture supporting structured, semi-structured, and unstructured data. Ensure data readiness for LLMs, generative AI, and advanced AI use cases
• Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI enablement e.g, Apache Iceberg or Delta Lake
• Provide thought leadership on emerging data and AI trends. •
• Define modern data architecture patterns (e.g., medallion architecture, data mesh, data fabric, domain-driven data design).
• Establish scalable, cloud-native data platforms optimized for advanced analytics, ML, and generative AI workloads.

REQUIREMENTS

• Bachelor’s or master’s degree in computer science, Engineering or similar Competencies:
• Minimum of 12 years of hands-on experience modern Data Architecture, Data Modeling, Data Acquisition, Data Integration, Data Lakehouse, Data Warehousing, Data Products, Data Governance and Data Standardization with recent experience in a health care system
• At least 4 years of strong experience in Snowflake, SQL, Oracle and SQL Server
• Experience with EPIC Cogito Analytics stack (Clarity, Caboodle etc.)
• Experience with cloud-based ELT Toolsets like Matillion, dbt cloud and Python
• Familiarity with ML/AI platforms, MLOps frameworks, and feature engineering pipelines.
• Experience with cloud providers preferably AWS
• Understanding of data security protocols, encryption standards, data privacy and protection regulations, and best practices in access management
• Deep expertise in translating complex clinical, operational and administrative datasets into enterprise-grade data products, data modeling techniques and performance analysis & tuning.
• Experience with initiatives that enable scalable and efficient data architectures that can handle large volumes and varieties of data, including data warehousing and data lakes

Note:

• Position is remote in the Eastern or Central Time zones with occasional travel to the New York City area