About
Product leader at the intersection of data science, machine learning, and experimentation. I architect structure from chaos and build high-performing teams that deliver measurable business impact.
Background
I lead Product for Data Science and ML/AI at DraftKings, where I represent a 40+ person organization responsible for experimentation infrastructure, offer optimization systems, and AI adoption across the company. My approach focuses on building sustainable systems that scale beyond any individual contributor.
Before transitioning to product leadership, I spent five years scaling DraftKings’ data science organization from 18 to over 40 people, transforming our experimentation platform from a 6% validity rate to supporting hundreds of concurrent experiments, and architecting ML systems that drive hundreds of millions in revenue impact.
I hold a PhD in Marketing with a focus on quantitative methods and consumer behavior. My academic background in causal inference and experimental design directly informs how I approach product strategy and team development in applied settings.
Areas of Expertise
Experimentation & A/B Testing
Designed and scaled experimentation platforms from broken to business-critical. Expert in experimental design, statistical validity, and building cross-functional consensus around measurement frameworks.
ML/AI Product Strategy
Architect ML systems with modular design: candidate selection, allocation, optimization, and feedback loops. Specialize in zero-to-one initiatives that balance technical sophistication with business constraints.
Data Science Leadership
Scaled teams from 18 to 40+ while maintaining quality and culture. Created the career leveling framework that became the organizational standard. Build high-performing teams that own outcomes, not just deliverables.
Causal Inference & Econometrics
Deep expertise in causal methods (IPW, instrumental variable, diff-n-diff, synthetic controls) and their application to business problems. Translate academic rigor into production systems that inform high-stakes decisions.
Product Strategy
Lead cross-functional initiatives from conception through delivery. Expert at navigating organizational complexity, building stakeholder alignment, and shipping systems that solve real problems rather than hypothetical ones.
Vendor & Budget Management
Own vendor relationships end-to-end, from technical evaluation to commercial negotiation. Understand how to structure agreements that align with company stage and cash flow dynamics.
Career Highlights
Director, Product - Data Science & ML/AI
Transitioned to product leadership to expand scope beyond data science team management. Lead AI adoption frameworks, IPDLC process design, and cross-functional product strategy.
Director, Data Science
Scaled organization from 18 to 40+ people. Transformed experimentation platform, designed offer optimization systems, created career leveling framework adopted company-wide. VP-level scope and impact.
Senior Manager, Data Science
Built data science engineering team focused on Marketing, launched personalization systems using multi-armed bandits, established technical foundations for ML infrastructure.
PhD, Marketing (Quantitative Marketing Strategy)
Arizona State University. Dissertation on causal inference in quasi-experimental data in digital ad buying settings. Academic foundation in consumer choice modeling, econometrics, behavioral economics, experimental design, and statistical modeling.