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Driving AI & Digital Transformation in Financial Services | Delivering Strategic, Agentic AI & Analytics Solutions that Power Business Growth
I lead Agentic AI implementation and delivery at Wells Fargo, with a focus on scaling generative and agentic AI through ADAPT, our Agentic transformative methodology. Through ADAPT, we drive how Agentic/GenAI ideas move from intake to production, balancing speed, governance, and measurable business impact. I enable more than 25,000 AI, data, and analytics practitioners through secure platforms and modern operating models. I’ve led the build and deployment of the firm’s first enterprise ML and GenAI platforms, supporting 110+ production models across seven lines of business and delivering $400M+ in value across consumer banking, fraud, cybersecurity, risk, and regulatory reporting. My work centers on turning GenAI from experimentation into durable, enterprise-scale capability.
London Metropolitan University
Bachelor of Science (BSc), Mathematics and Computer Science
January 1, 1991 – January 1, 1995
MIT Sloan School of Management
Artificial Intelligence: Implications for Business Strategy
N/A – Present
Wells Fargo
Head of Agentic AI Delivery – Empowering Enterprise Data Intelligence
October 1, 2025 – Present
San Francisco Bay Area
Wells Fargo
Head : AI and Analytics Services, Support and Enablement
January 1, 2024 – Present
San Francisco Bay Area
Wells Fargo
VP - Head of AI Implementation
January 1, 2020 – August 1, 2024
San Francisco Bay Area
Wells Fargo
VP - Head of AI Implementation Strategy
June 1, 2017 – January 1, 2020
San Francisco Bay Area
IBM
Global Leader: Big Data, Cognitive Analytics & IOT
December 1, 2014 – May 1, 2017
San Francisco Bay Area
IBM
Global Partner : Enterprise Social/Mobile Collaboration
November 1, 2013 – December 1, 2014
San Francisco Bay Area
eBay
Enterprise Solutions Manager, Collaboration and Enterprise Social
August 1, 2009 – November 1, 2013
San Jose
Cisco Systems
Global Telepresence Manager
December 1, 2006 – June 1, 2008
Robert Half International
SharePoint Development Manager
March 1, 2003 – December 1, 2007
Office 365 Integration and SharePoint 2013 Upgrade
April 1, 2013 – Present
Directing the SharePoint 2013 upgrade of the Intranet, devising a strategy and solution architecture for the upgrade of the SharePoint Intranet transforming it to a world class one.
Single Sign on (SSO) with Yammer
March 1, 2013 – Present
Directing the project to enable the end users to use their existing network credentials to use the unified Yammer network securely.
Yammer Network Integration
December 1, 2012 – Present
Merged all eBay Yammer networks into one unified network. This resulted in removing the information silos created within several networks and allowed employees to get engaged and informed through one feed for the company.
SharePoint 2010 upgrade at eBay
March 1, 2011 – July 1, 2011
The biggest SharePoint upgrade in the Northern hemisphere at the time. Some key achievements: - Over 29% Performance accross the Intranet - Enhanced Search and Browser Compatibility - Advance Business Intelligence - A new foundation for Enterprise Social Media - Better user experience across PC, browser and smartphones - Improving Employee productivity and engagement
DataRobot Essentials
DataRobot
June 24, 2026 – Present
Design Thinking Practitioner
IBM
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long history with large, established organizations (Wells Fargo, IBM, eBay, Cisco), indicating a fit for structured corporate environments. The progression into leadership roles focused on AI strategy and implementation suggests an ability to drive innovation within existing frameworks. However, the project descriptions are very high-level and lack specific technical details, making it difficult to assess hands-on technical cultural fit for an 'Agentic AI Developer' role which typically requires deep coding and architectural contributions. The projects listed are older and focus on collaboration/SharePoint, not directly on AI development.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, program management, and strategic planning skills, essential for operationalizing AI initiatives. Experience in managing large teams and complex projects suggests good organizational and execution capabilities. The focus on 'responsible, explainable, and outcome-driven design' aligns with best practices for AI deployment.