Kevin Boller

Product, Revenue, Business Intelligence and Analytics Professional

Technology industry executive with deep technical expertise in AI products and workflows. I’ve led cross-functional teams, driving data-informed strategies and working backwards from customers. My experience spans investment banking, product management (consumer, enterprise, and AI data products), corporate strategy, strategic finance, and business intelligence.

My advisory focus areas include applied AI strategy and implementation, business intelligence, financial intelligence/strategic finance, and M&A.

At FloSports I led corporate development (mergers and acquisitions), strategic finance, and business intelligence. Prior to this, I was in product management in Prime Video's Live Sports organization. I also spent several years in product management at Amazon Kindle, working with a development team dedicated to building a reporting and analytics product from the ground up on Native AWS. During my first tenure as Vice President of Product (Revenue and Analytics) at FloSports, I led business logic codification and implementation of Amazon Redshift, Periscope Data, and Segment for our data warehouse, business intelligence, and customer data platform. We then transitioned to Sigma and Snowflake for our business intelligence and data warehouse.

Earlier, I was a Vice President in Blackstone's Advisory Partners (Investment Banking/M&A) group. From 2011-2012, I was a member of the deal team which advised the Los Angeles Dodgers’ former owner and management on the $2.3 billion sale of the team, stadium, media rights and real estate to Magic Johnson and Guggenheim Partners.

After graduating from the University of Chicago Booth School of Business, I worked at Rothschild in investment banking, and I was a member of the deal team who sold a minority stake in Creative Artists Agency (CAA) to TPG Capital.

• Sports Media and Sports Technology Expertise
• Business Intelligence and Data Warehouse Product Management
• Financial, Operational, Product and Data Analytics
• Financial Modeling and Economic Model Optimization
• Pricing Strategy Analyses and Advisory
• Corporate Strategy and Business Development

Technical and Data Science Skills: SQL, Python (pandas, numpy, scikit-learn), Snowflake, Streamlit, OpenAI, Claude, Gemini, Sigma, and Tableau.