CDO Vision, CDO Vision New York, CDO Event, CDO Vision event
CDO Vision New York launched the Global AI Series, honoring enterprise leaders turning AI strategy into scalable, governed impact.
The Vision Awards are presented at each city of the CDO Vision Global AI Series, spanning 22 cities worldwide. As CDO Vision continues globally, the awards will recognize leaders who are shaping the future of enterprise data and AI through thoughtful leadership, disciplined execution, and measurable impact.
CDO Vision is a global leadership platform that brings together senior data, analytics, and AI leaders to examine how enterprises are building, governing, and scaling data and AI capabilities. Through curated discussions and peer exchange, CDO Vision focuses on the real operating challenges of enterprise AI transformation, moving beyond experimentation to sustained impact.
CDO Vision New York took place on January 30, marking the first edition of the CDO Vision Global AI Series, a 22-city initiative spanning major global enterprise hubs.
The Vision Awards recognize senior data, analytics, and AI leaders who are shaping how AI is being built, adopted, and governed within their local enterprise ecosystems. Rather than focusing on theoretical innovation, the awards spotlight leaders driving real-world AI execution across industries, institutions, and cities.
At each CDO Vision city, recipients are selected for the role they play in advancing AI maturity within their region, setting standards for responsible deployment, building shared talent and capability, and influencing how organizations move from isolated pilots to enterprise-scale systems.
The leaders recognized at CDO Vision New York reflect how AI is being operationalized across one of the world’s most complex enterprise environments. Across financial services, healthcare, defense, telecom, and life sciences, they are hardwiring AI into decision-making, modernizing enterprise data platforms, and building governance models that balance velocity with control.
Vision Awards Recipients
Brian Carlson, Chief Tech, Data, Digital & Innovation Officer at Sodexo, is recognized for shaping enterprise data, technology, and AI leadership across the New York ecosystem. At Sodexo, he has driven rapid and responsible adoption of data and AI, translating strategy into measurable business outcomes at scale. His leadership reflects the execution discipline and operational rigor central to the Vision Awards.
Eric Talbot, Chief Data & Analytics Officer at CheckedUp, has been instrumental in advancing data and AI leadership across the healthcare ecosystem. His work at CheckedUp reflects a strong ability to move from analytics strategy to enterprise-wide execution, translating data into measurable business and patient impact across the New York region.
Henry Tiri, Chief Technology Officer at Nokia Technology Standards, has played a pivotal role in advancing AI, data, and wireless technologies at global scale. As CTO at Nokia Technology Standards, he oversees critical technology roadmaps shaping future networks and digital infrastructure, bridging industry, academia, and long-term innovation leadership.
Moin Haque, Head of Enterprise Data, Analytics & AI at IFF is recognized for his leadership at the intersection of data, analytics, and AI. At IFF, he drives enterprise-wide data strategy and the development of intelligent, scalable data and AI products. His career across global media, entertainment, and consumer brands reflects a consistent ability to transform data into a living enterprise capability.
Namrata Shah, Managing Director - AI Adoption at Nuveen, leads AI-driven enterprise transformation with a sustained focus on adoption and platform innovation. At Nuveen, she oversees AI-enabled finance transformation, engineering centers of excellence, and investment technology across highly regulated global environments, translating emerging technologies into secure, scalable systems.
Sandy Balkin, Senior Vice President, Strategy & Analytics at Royalty Pharma, operates at the intersection of analytics, strategy, and capital markets. With over two decades across biopharma, financial services, and academia, he has elevated analytics from a support function to a front-office driver of investment conviction and growth at Royalty Pharma.
Sashank Musti, Global Head - Enterprise AI & Technology Products (Executive Director), at Alcon, has built and commercialized AI products across healthcare, pharmaceuticals, and med-tech organizations worldwide. With leadership roles at Alcon, Mayo Clinic, and Merck, he has driven AI adoption across the US, Japan, Asia Pacific, and Europe, turning advanced analytics into sustained operating advantage.
Saurav Ghosh, Vice President, Enterprise Digital Solutions (Data, Digital & AI) at Genmab, is recognized for building digital and AI foundations that scale responsibly in highly regulated environments. At Genmab, his work spans global R&D platforms and AI-enabled clinical and commercial systems, balancing speed, governance, and trust.
Sharon M, Chief Data & Analytics Officer at U.S. Army CECOM/SEC, is known for advancing AI systems that balance innovation with integrity. At CECOM/SEC, she leads enterprise-scale analytics and AI programs focused on mission outcomes while strengthening explainability, trust, and governance in practice.
Sundari Veerabahu, Chief Data Officer & Senior Vice President, AI Data Engineering at The Hartford, leads enterprise-grade data and AI transformation in highly regulated environments. Across insurance and financial services, she has modernized complex data landscapes while enabling AI-ready platforms that balance innovation, performance, and trust.
Ted Cubbin, Executive Vice President & Chief Analytics Officer at Radian, has shaped how analytics informs enterprise risk and capital decisions across the New York financial ecosystem. Over more than a decade in senior leadership roles, he has driven the use of advanced quantitative models to guide pricing, stress testing, and strategic planning at scale.
Thomas Mavroudis, Chief Data & Analytics Officer at Scotiabank, has been instrumental in establishing data as a governed, enterprise-wide asset within complex financial institutions. His work bridges executive strategy, regulatory alignment, and large-scale transformation, defining how global organizations operationalize data and AI responsibly.