Vino Kingston

Vino Kingston is a Data, AI, and Decision Intelligence executive with more than 30 years of experience leading enterprise-scale transformation across Fortune 10 and highly regulated organizations. His career spans aerospace and defense, automotive and electric vehicles, advanced manufacturing, energy, and public sector institutions, where he has consistently driven measurable business impact through data- and AI-led operating model change.

Beginning his career in Instrumentation and Control Engineering, Vino developed a deep foundation in real-time systems, industrial automation, and closed-loop control—experience that continues to shape his approach to modern enterprise transformation. Over time, he has led large-scale data and AI strategies that integrate business processes, applications, platforms, governance, and automation into cohesive, outcome driven ecosystems.

Vino is particularly known for advancing organizations from traditional data-driven analytics toward knowledge-driven decision systems, leveraging ontology-based models, AI, and automation to enable real-time, accountable decision-making at scale. His leadership has supported complex initiatives including enterprise data platforms, data fabric and data mesh operating models, AI governance, and decision automation across mission-critical value streams.

A strategist who bridges vision and execution, Vino has built and led high-performing global teams, partnered closely with executive leadership, and delivered hundreds of millions of dollars in business value through improved decision quality, speed, and predictability. His leadership experience includes senior roles at Lockheed Martin, Hewlett-Packard, Canoo, Ford Motor Company, and the City of Houston.

He currently focuses on enterprise AI transformation, decision intelligence, and operating model evolution in support of next-generation, AI-enabled enterprises.