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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 readiness for LLMs, generative AI, and advanced AI use cases.

Collaborate with Data Scientists and ML Engineers to operationalize AI models at scale.

Help ensure security, privacy and compliance for all data assets.

Collaborate with data product managers, business and analytic stakeholders to translate business needs to practical and scalable data solutions

Collaborate with data engineers, product managers, data scientists, BI developers and application teams, to understand data requirements and translate them into technical solutions

Serve as a trusted advisor to senior leadership on data and AI architecture decisions.

Mentor and guide data engineers, architects, and analytics teams.

Lead architecture reviews and ensure alignment with enterprise IT strategy.

Drive cross-functional collaboration across business and technology teams.

Qualifications include:

12+ years of experience in modern Data Architecture, Data Modeling, Data Acquisition, Data Integration, Data Lake or Data Lakehouse, Data Warehousing, Data Products, Data Governance and Data Standardization

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

Minimum 4+ years of strong experience in Snowflake, SQL, Oracle and SQL Server

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

Knowledge in healthcare preferably in a health system domain Experience with EPIC Cogito Analytics stack (Clarity, Caboodle etc.)

Bachelor's or master's degree in computer science, Engineering or similar

Competencies include:

Ability to think strategically and drive structured execution

Structured, linear thinker that can conduct business outcome diagnostics and identify highest value business opportunities

Strong facilitation skills to help business leaders identify their most important business questions

Exhibits excellent judgment, especially when working with ambiguity. Sets stretch goals and works to exceed goals with a focus for results.

Has the innate ability to gain the confidence of and build strong relationships with executives, peers, management and subordinates alike.

Excellent business-facing presentation skills.

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