Responsible for driving the technology, strategy, and execution of enterprise-scale data technologies and ML platforms to enable FactSet's AI initiatives. A key initial drafter and contributor to FactSet's GenAI investment Process in leveraging commercial and open-source LLMs and related tools to enable core AI objectives like text-summarization, internal chatbots, and most recently, personalization. Built FactSet's horizontal MLOps Team which enabled FactSet's first Enterprise-wide Machine Learning Platform and adoption of cutting edge ML tools for 1600+ engineers. This enables ~400 weekly active developers to accomplish at-scale capabilities that historically only specialized AI & ML engineers could accomplish. We enabled a firm-wide enterprise prompt repository, model catalog, self-service Vector databases as a platform and model governance. This led to not just leveraging commercial LLM Models like GPT-4 on Azure, Anthropic's Claude on AWS Bedrock but also enabled advanced GenAI workflows like RAG and fine-tuning of open-source models like Mistral, Llama2/3, and DBRX for our products.

Responsible for all of FactSet's core commercial data technology group. Advocated and led modernization initiatives to drive FactSet’s digital transformation, focusing on modern Data Lake adoption and cloud-native solutions.Led cloud transformation efforts, migrating FactSet’s data technologies to cloud-native and open-source technologies, improving operational efficiency, mitigating FactSet's commercial database by 50% and significantly reducing FactSet's private cloud infrastructure. Spearheaded the adoption and several major implementations of the Lakehouse architecture, democratizing data, improving MPP scalability, enabling analytics, and operational costs across the organization

Built FactSet's first multi-BU Commercial MSP Platform. Led a new team to enable FactSet's MSP and SaaS delivery infrastructure for the Portfolio Lifecycle (PLC) products, enabling $140M+ in Annual Subscription Value (ASV)

Associate Director of Infrastructure, managing FactSet's Enterprise Hosting & Managed Services Infrastructure.Responsible for engineering and architecting FactSet's Global Client Hosting Infrastructure serving FactSet's Portfolio Life Cycle products. Created and led a cross-functional team to build FactSet's Global Client Hosting Infrastructure, delivering SaaS and API capabilities across portfolio lifecycle products

Oversaw data technologies and built database and data services teams managing over 4,100 databases (35,000+ containers) and supporting 700+ applications with a 400TB data footprint.Led FactSet into it's first cloud data infrastructure with Amazon Web Services

Built FactSet's first database administration teams, devOps automation and engineered highly available and distributed database solutions