New York, New York, United States
Managing Director at S&P Global with 14 years building new institutional capabilities from zero to one — three times across automation, data science, and digital assets. Currently leads firm-wide digital asset and on-chain product strategy across Ratings, Indices, and Market Intelligence, bridging traditional finance and on-chain markets across stablecoins, on-chain credit, protocol risk assessment, tokenization of real-world assets, and new forms of institutional indices and analytics. Trusted advisor to executive leadership and institutional clients.
Responsible for firm-wide digital asset, DeFi, and tokenization initiatives across S&P Global, spanning Ratings, Indices, and Market Intelligence. • Founded and scaled S&P Global’s institutional digital assets and DeFi franchise, defining enterprise strategy, operating model, and multi-year product roadmap. • Defined institutional product strategy and prioritization for digital assets and on-chain markets, aligning initiatives with client demand, regulatory considerations, and market maturity. • Sponsored and enabled the launch of the Stablecoin Stability Assessment, establishing a first-of-its-kind institutional framework to assess stablecoin risk and market resilience. • Established strategic mandates for institutional work on on-chain credit, protocol risk assessment, tokenization of real-world assets, and emerging on-chain market infrastructure. • Partnered closely with analytical, index, and technology teams to translate strategy and priorities into scalable, institutional-grade products and workflows. • Acted as senior representative to global asset managers, banks, and crypto-native firms on DeFi, tokenization, and on-chain market structure. • Led review, selection, and executive-level pitching of strategic partnerships and M&A opportunities related to digital assets, DeFi infrastructure, and on-chain data.
Led the creation and scale-up of S&P Global Market Intelligence’s cognitive automation team (data science, and machine learning capabilities). • Founded and built the group's data science and machine learning function, taking it from inception to a global organization supporting core data and analytics operations. • Built and led a global team of approximately 60 data scientists, machine learning engineers, and automation specialists across the U.S., India, the Philippines, Pakistan, and Latin America. • Established enterprise operating models combining data science, automation, and human-in-the-loop workflows to improve data quality, speed, and scalability. • Led large-scale automation of core datasets, including Ownership, Estimates, Fundamentals, Transactions, and Translation, delivering over $10M in annual efficiency gains. • Evaluated and integrated third-party technologies and vendors across NLP, data extraction, and machine learning to support product and operational transformation.
Served as Board Observer prior to the acquisition. Provided input on product positioning and ecosystem strategy for institutional on-chain lending offerings. Maintained an external vantage point on emerging risk assessment approaches in on-chain credit markets.
Full stack developer.