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Executive Director Principal Data Science (Applied AI), Wells Fargo

Award-winning AI and data science executive with 25+ years leading large-scale digital transformations, enterprise AI adoption, and product innovation across global financial institutions. Recognized for delivering $250M+ in combined revenue growth and cost savings through applied AI/ML, operational optimization, and C-suite advisory. AI TRANSFORMATION LEADER | $224M+ IMPACT | FORTUNE 100 FINANCIAL SERVICES

Led a $300M enterprise AI transformation at Wells Fargo, building NLP/LLM frameworks that unlocked $91M in self-service migration value and solved previously intractable operational challenges. Applied Ph.D.-level research to enterprise-scale problems.
Delivered $224M+ in business impact and $32M in annualized revenue + cost savings across Fortune 100 financial institutions through AI transformation, data monetization, and digital strategy.
Built first-of-their-kind agentic AI and data frameworks, converting multi-year R&D into commercialized products with measurable outcomes. Guided AI roadmaps for major banks and financial platforms.
Established enterprise AI product functions and led cross-functional teams of 25+ to deploy scalable LLM, NLP, and ML systems across cloud and legacy environments.
Designed enterprise AI measurement, governance, and model-risk frameworks to accelerate adoption, reduce technical debt, and ensure compliance.
Co-author, AI Transformation Strategy for Executives (Anthem, 2026); active board advisor shaping global AI governance and commercialization practices.
Recognition: Best Use of AI (Morgan Stanley), Innovation of the Year (Pitney Bowes), Management Excellence Leadership Award (Wells Fargo).

Skills include: