Nathan Suberi is a VP of AI Integration with 11 years of experience translating ambiguous product and engineering problems into trusted, production-ready AI solutions across finance and public-sector data. He blends hands-on engineering—building large-scale PySpark pipelines, CI/CD systems, and Airflow platforms—with product discovery and agentic engineering practices to accelerate adoption and reduce operational risk. At FINRA he led foundational DevX work and designed secure RBAC flows for CI/CD, and today he’s driving AI-native transformation in home lending at JPMorgan Chase. His background managing a family retail business and teaching math informs a human-centered approach to design, community engagement, and mentorship. Nathan’s academic training in smart cities, math, and economics helps him connect geospatial and large-scale data thinking to practical product outcomes. He’s known for finding the right problems to solve and creating network effects that let teams scale their impact.
11 years of coding experience
5 years of employment as a software developer
Mathematics Economics. Minor: International Development and Conflict Management, Mathematics Economics. Minor: International Development and Conflict Management at University of Maryland
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