Transforming enterprise complexity into
decisions that move at scale.
I build systems that don't exist yet — and then make them run at enterprise scale. Over the past decade at Walmart, I've moved from architecting fraud detection across 2 billion transactions, to turning around an $8B returns operation, to now directing AI deployment for Health & Wellness across 1,300 daily users. Each chapter different. The thread: bringing rigorous structure to genuinely ambiguous problems.
What drives me isn't the technology — it's the moment an organization actually changes because of what you built. A dashboard that a VP trusts implicitly. A model that catches what humans couldn't see. A team that ships things they didn't think were possible six months ago. I hold an IEEE Senior Membership, publish research, and speak on generative AI — not for the credential, but because explaining hard ideas clearly is part of doing the work well.
Directing a 13-person team across AI development, data governance, and privacy protection. Built and launched a privacy-protected data service for sensitive health data from scratch. Deployed LLM-powered tools now used by 1,300+ store associates and office staff daily. Locked down governance across 1,200+ tables and 5 schemas.
Executed a full modernization of an $8B analytics operation, leading 7 senior leaders to rebuild architecture from the ground up. Delivered 25% faster processing, 10% accuracy improvement, and 40% operational efficiency gains. Built A/B testing capabilities and modern dashboard architecture that improved data accessibility by 30% across eCommerce and Store operations.
Orchestrated a global analytics ecosystem across 30+ projects, delivering insights to 200+ stakeholders and C-level leadership. Led 10+ cross-functional product, engineering, and operations teams. Scaled analytics infrastructure across 15+ financial controls using Python and SQL on Google Cloud Platform, reducing discrepancies by 25%.
Engineered a risk analytics platform processing 3+ billion transactions with 200+ features using Python, Pandas, and scikit-learn — achieving a 25% reduction in compliance risk. Led a $40M international finance transformation across 12+ countries. Pioneered world-class anti-corruption analytics capabilities.
Architected the enterprise Alteryx Server platform for Legal and Compliance. Built predictive analytics across 11,000+ stores and 2+ billion transactions to ensure ATF regulatory adherence — generating $5M+ in annual savings. Led global anti-corruption analytics across 22 countries using lean six sigma, identifying 18% cost reduction opportunities.
Built a production analytics system processing 2.7 million daily credit card transactions. Implemented customer segmentation and behavioral scoring algorithms. Improved strategic decision accuracy by 11%, boosted product visibility by 15%, and elevated customer satisfaction by 10%. Led the first Big Data Consortium for Finance.
Engineered a pricing analytics platform integrating Teradata SQL and Nielsen data sources. Led cross-functional teams to deliver 5 strategic initiatives generating $2M+ in yearly revenue — achieving 5–7% cost reduction and 30% increase in service adoption.