Denver, Colorado, United States
The question I hear from business leaders has shifted. It used to be "which AI model should we use?" Now it's "how do we make data and AI reliable, measurable, and actually valuable?" That's the work I do: across strategy, platform, and delivery. I'm a VP-level data and AI leader with 12+ years building analytics, machine learning, and AI platforms across Fortune 100 companies and high-growth product businesses. My work spans the full stack: enterprise data strategy and governance, self-serve analytics and BI, ML and AI platform infrastructure, and production agentic systems, all connected to revenue, retention, and growth. I'm equally fluent in C-suite strategy and technical depth. I've aligned executives and boards on multi-year AI investment cases, built governance frameworks from scratch, and shipped production systems with measurable outcomes. I'm comfortable operating through influence without direct authority, and translating ambiguity into decisions that stick. I also lead Huge's GEO (Generative Engine Optimization) practice, defining technical measurement standards and helping brands understand how they perform inside AI-generated answers. It's an emerging space I've been building from the ground up. Key results: • Launched Oli conversational assistant for NBCU's Winter Olympics 2026: 320K sessions, 94% task completion, <2% failure rate • Built RAG-powered conversational commerce for Party City: 7x conversion lift, +$100K revenue • Architected customer 360 for conEdison's 3.3M-customer platform:$6M in savings, +83% data retention • Reduced churn 54% for Verizon through behavioral analytics and loyalty optimization • Deployed ML pipelines to accelerate campaign deployment from 6 weeks to 5 days for Pfizer (+23% brand lift) • Led data readiness and governance transformation across Walmart, UnitedHealthcare, Bose, and Vail Resorts
Wunderman Thompson (now VML) is a global leader in data-driven marketing and digital transformation, serving Fortune 100 clients across every major industry vertical. As VP of Data Science & Analytics, I designed and scaled enterprise AI and ML capabilities from pilot to production, building the investment cases, governance frameworks, operating models, and MLOps workflows that made it stick. I led and mentored a team of data scientists and engineers, developing a culture where production deployment was the standard, not the exception. Governance & Data Strategy: Led data readiness governance transformation for ConEdison's 3.3M-customer utility platform, building a Customer 360 architecture that delivered $6M in cost savings and +83% data retention. Guided enterprise knowledge and experience diagnostics across Walmart's shopper journeys, identifying $10M+ in cost savings through NLP and customer experience analytics. MLOps & Platform: Designed and scaled MLOps workflows across GCP, Snowflake, and IBM, cutting model deployment cycles from 6 weeks to 5 days for Pfizer while driving +23% brand lift through explainable ML integrated directly into campaign development. Team Development: Scaled a high-performing data science and engineering team through hands-on coaching, technical documentation, and code walkthroughs, building capability from reporting to production-grade ML.
Momentum Worldwide is an experiential marketing agency specializing in immersive brand experiences across physical and digital channels. As VP/Director of Analytics & Data Science, I built the analytics and data science practice from the ground up, evolving it from reporting into a full-service capability spanning predictive modeling, identity resolution, and application platform development, in close partnership with the CTO and engineering teams. Practice Building: Established strategic partnerships with IBM and IPG Mediabrands to accelerate capability development, bringing enterprise-grade data infrastructure and media intelligence into the agency's service offering for the first time. Customer Analytics & Loyalty: Developed enterprise customer analytics programs for American Express, United Airlines, and Verizon, using identity resolution and behavioral analytics to surface the loyalty drivers that mattered most to each brand. Flagship Result: Led customer analytics for Verizon's sponsorship program, demonstrating a 54% reduction in churn by optimizing the reward signal, connecting high-quality in-person experience directly to behavioral retention outcomes. This work established the causal link between experiential investment and measurable business impact.
Infusion (now part of Avanade) is a digital transformation agency focused on creating breakthrough experiences in multi-surface applications. My role was to develop and implement product analytics to enable customer insights, performance optimization, and feature development. I worked closely with sales and delivery, from new business to solution architects to project management, to develop proposals, pitch client work, and then transition projects to implementation. Accomplishments: • Led data strategy and analytics implementation for Merck Manuals redesign, using Sitecore personalization to improve audience engagement by 27%