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.