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Data Science with 10+ years in Predictive Modeling & Lifecycle Optimization
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Assessing your cultural and operational fit
Analytics leader with deep experience driving measurable growth across acquisition, activation, engagement, retention, and LTV in fintech and consumer-facing environments. I specialize in funnel analytics, lifecycle optimization, causal inference, experimentation, and predictive modeling — translating complex user behavior into clear, actionable insights that shape product and marketing strategy. I’ve built and scaled high-performing analytics teams, operationalized AI-driven workflows, and partnered with Marketing, Product, Engineering, and Finance leadership to improve CAC/LTV, accelerate decision cycles, and deliver business outcomes. Known for elevating analytical rigor, improving data accessibility, and building systems that reduce manual analytics and increase velocity.
University of New Orleans
BSc Business Administration · Computer Science Option
N/A – Present
University of New Orleans
MBA · Management Information Systems Concentration
N/A – Present
U.S. Bank
VP, Wealth Management Marketing & Customer Analytics
June 1, 2022 – March 1, 2026
San Francisco, California, United States
U.S. Bank
VP, Wealth Management Customer Insight
February 1, 2019 – May 1, 2022
San Francisco, California, United States
U.S. Bank
Data & Web Analytics Lead, Wealth Management Digital
June 1, 2014 – February 1, 2019
San Francisco, California, United States
Charles Schwab
Director, Database Marketing & Analytics
February 1, 2000 – October 1, 2013
San Francisco, California, United States
Cultural Fit Analysis
The candidate's extensive experience in large financial institutions (U.S. Bank, Charles Schwab) and their progression through leadership roles suggest a strong fit for structured, results-oriented environments. Their emphasis on building and scaling teams, establishing governance, and driving enterprise-wide data strategies aligns with a culture that values impact, rigor, and strategic influence. The diversity of projects across growth, marketing, and product analytics, combined with a focus on AI-driven workflows, indicates adaptability and a forward-thinking approach.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team-building, and executive storytelling skills, evidenced by their roles leading and scaling analytics teams and serving as an analytical authority to senior leadership. Their experience in establishing KPI frameworks, data governance, and self-serve analytics infrastructure indicates a strong operational mindset and ability to drive efficiency and rigor. The focus on cross-functional influence and stakeholder alignment suggests excellent collaboration and communication for operational fit.