Senior Data and AI Architect - Healthcare Innovation
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-09-04
Listing for:
Sud Recruiting
Full Time
position Listed on 2026-09-04
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Information Security & Data Protection
Job Description & How to Apply Below
Leading hospital and healthcare system 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.
- Establish scalable, cloud-native data platforms optimized for advanced analytics, ML, and generative AI workloads.
- 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
- Position is remote in the Eastern or Central Time zones with occasional travel to the New York City area
Position Requirements
10+ Years
work experience
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