Senior Data Architect

Location: City of Yonkers

Senior Data Architect page is loaded## Senior Data Architect locations:
3 Odell Plazatime type:
Full time posted on:
Posted Todayjob requisition :
JR229569
** City/State:
** Yonkers, New York
** Grant Funded:
** No
* * Department:
** D&A - Data & Analytics
*
* Work Shift:

** Day
* * Work Days:
** MON-FRI
** Scheduled

Hours:

** 9 AM-5:30 PM
** Scheduled Daily

Hours:

** 7.5 HOURS
** Pay Range:**$-$Montefiore is ranked among the top hospitals nationally and regionally by U.S. News & World Report. For more than 100 years we have been innovating new treatments, procedures, and approaches to patient care, producing stellar outcomes and raising the bar for academic medical centers in the region and around the world. Our work to improve health outcomes in underserved communities is unparalleled in the United States.

Our workforce is among the most diverse in the US:
Montefiore associates speak 60+ languages.

As Montefiore has built paths to deliver lifesaving health outcomes to underserved communities, we are looking to the future of being a data driven organization and tech-enabled care delivery to create better experiences for patients, providers, and operations teams. Montefiore is actively investing in its data & analytics driven solutions as a new system-level priority, and we are seeking data experts who are excited to create a tangible impact with the healthcare system.

The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. This role will be responsible for designing and architecting Montefiore’s AI-ready data Lakehouse, defining modern data architecture patterns, establishing enterprise-wide data strategy, governance, and integration standards to support business cases across the health system.

This role will work with designing and architecting complex data solutions in a fast-paced, rapidly evolving landscape answering critical business and clinical questions.

This role is also critical to scaling our data and insights capabilities, empowering teams with actionable insights, and supporting our mission to improve Patient healthcare.
*
* Responsibilities include:

**** Modern Data Strategy & Roadmap
** Define and drive the vision, Montefiore data strategy, and roadmap for the enterprise data architecture, aligning with Montefiore business objectives. Data Architecture Leadership:
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. Create multi-year architecture and modernization roadmaps. Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI enablement. Provide thought leadership on emerging data and AI trends.
** Enterprise Data & AI Architecture
** Design and implement an AI-ready data Lakehouse architecture supporting structured, semi-structured, and unstructured data. 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. Develop reference architectures, technical standards, and best practices for enterprise adoption.
• This hands-on role will build and deliver highly performant and scalable data products across clinical, operational and other functional areas enabling data driven decision making across the health system.
• Provide thought leadership & strategic thinking to design and enablement of Montefiore’s next generation data eco-system.
• Lead our enterprise data initiatives to ensure single, accurate, and consistent view of metrics across data domains, including standard definitions for our clinical, operational and administrative needs.
** AI Enablement & Advanced Analytics*
* • Architect data platforms that support ML lifecycle management, feature stores, model training, and inference.
• Enable data pipelines optimized for real-time, batch, and streaming workloads.
• Ensure data…