I have worked through multiple fields and disciplines, always looking for new challenges and things to learn. After dropping out of college, I joined the US Air Force as an enlisted Meteorologist. From there, I went to university, earning a BS in Mathematics while being a Store Manager for Starbucks. I then moved to insurance for a brief stint as an actuary before finding my way to help found a data science department. I have since moved from being a user to the tech side for the last few years, helping our customers be successful in their data and AI journeys.
Over the past several years, I have held progressive leadership roles focused on data, AI, and customer transformation across global and regional markets. Currently, I am responsible for leading the Global Field CDO organization and supporting executive engagements with customers, prospects, and partners worldwide. This role is at the intersection of strategy and customer success, enabling impactful, data-driven dialogues at the executive level.
Previously, I led a regional team providing strategic guidance on AI and data product capabilities. Our work directly supported approximately $45 million in sales via executive interactions, customer events, and strategy workshops. I also presented at key industry events, developed marketing content, and contributed extensively to the Dataiku Generative AI Expert Group, deepening customer understanding and adoption of generative AI.
Before that, I was VP of Data Science, Americas at a fast-scaling pre-IPO startup, where I led AI consulting and data science teams across North and South America. I scaled the team from four to 30 data scientists, introduced global project management tools, and played a key role in enabling 140% year-on-year growth.