Soyeb Barot is a Distinguished Analyst and Senior Data, Analytics, and AI leader with 24+ years of experience shaping enterprise-scale technology and AI strategies across global organizations. Proven track record of partnering with Senior IT and business leaders to design and operationalize AI-ready technical architectures that strengthen data management, cybersecurity, and advanced analytics capabilities. Recognized for bridging strategy and execution for CDAOs - translating emerging innovations in Agentic AI, Generative AI, AI Engineering (DataOps, ModelOps, LLMOps, AgentOps), Data Products, AI-Enabled Workforce, Operating Models, and the Future of Computing (quantum, neuromorphic, ASICs, etc.) into pragmatic, governed, and scalable, outcome-driven AI adoption.
Previously as a CoR (Chief of Research) for GTP, he helped steer the research portfolio to support Technical Domain Architects with the design, implementation, and operationalization of Enterprise Technical Architectures across the areas of D&A, I&O, SWE, Enterprise Applications and Cybersecurity.
Before joining Gartner, Soyeb has led data enterprise Data Analytics and ML teams for Fortune 100 companies and played a pivotal role in architecting, designing, and implementing future-state architectures. He specializes in building self-serviced, governed enterprise data management and AI platforms with support for advanced analytics, ML & AI initiatives.
Soyeb, is known for his innovative data-driven, pragmatic approach towards solving complex business workflows with the right integration framework of proprietary tools and open-source technologies. He provides real-world use-case-driven insights for implementing AI-based solutions within the insurance, banking, retail, media, and information system industry verticals.
New York Life Insurance, Solutions Architect, Enterprise Data Management & Analytics, 3 years
RichRelevance, Technology Lead, Analytics and Big Data Solutions, 9 years
Consulting Roles Within Fintech and Shipping Orgs., Software Consultant - Apps & Data, 4 years
AI Vision, Strategy and Innovation
Data Management for Technical Professionals
Analytics and Artificial Intelligence for Technical Professionals
Analytics and Artificial Intelligence
M.S., Computer Science, New York Institute of Technology
B.E., Electronics Engineering, Mumbai University, India
Leadership Certification, Cornell
Artificial Intelligence
Machine Learning and Data Science
Enterprise Technical Reference Architectures
Emerging Tech - Future of Computing & AGI (Artificial General Intelligence)
Cloud and Hybrid Cloud - D&A Implementations