Caitlin Halferty is Chief Data & Analytics Officer (CDAO) at Thomson Reuters, where she leads the company’s global strategy to scale data and AI as core drivers of growth, product innovation, and customer value. Since joining Thomson Reuters, she has accelerated how the company puts data to work commercially — building trusted data foundations, responsible AI frameworks, and intelligent capabilities that help legal, tax, compliance, and finance professionals work with greater speed, precision, and confidence.

Before Thomson Reuters, Caitlin was Global Chief Data Officer at Ericsson, leading the transformation of the company’s data and AI capabilities and advancing enterprise-wide adoption of data-driven decision-making.

Earlier, she was a founding member of IBM’s first Global Chief Data Office, where she launched the AI Accelerator, building a portfolio of 25 AI products and solutions that generated more than $350 million in revenue within three years, and built and led a global consortium of 1,300+ senior data and AI leaders — one of the industry’s longest-running C-suite communities.

Caitlin holds a master’s degree in Public Policy from Georgetown University. She is a frequent keynote speaker and serves on industry advisory boards.