David Iwanowski

Content Investment Strategist | Probabilistic Forecasting and Portfolio Management for Film & Streaming | Disney, Bucks, NBA | USC MBA, UChicago BA

Role
Sr Analyst, Content Analytics at The Walt Disney Company
Location
Los Angeles, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About David Iwanowski

I apply portfolio theory and probabilistic modeling to entertainment capital allocation — helping studios and streamers make better decisions about what to greenlight, license, and invest in under uncertainty. At Disney, I build the quantitative infrastructure behind content investment decisions: forecasting title and portfolio performance, structuring risk-adjusted evaluation frameworks, and translating complex scenario analysis into recommendations for high-stakes decisions across film and streaming. Before entertainment, I spent six years in NBA analytics — first at the League Office transforming statistical data into strategy and storytelling, then at the Milwaukee Bucks where my work contributed to decisions around a championship team. That background gave me something most entertainment analysts don\'t have: a rigorous, sports-tested framework for measuring performance, valuing assets, and thinking probabilistically about high-variance outcomes. I apply that same framework independently through Stream Chemistry, where I publish original research on entertainment investment strategy — from box office forecasting and movie portfolio construction to theme park IP selection and the quantitative case for risk-seeking in film slates. I\'m building toward a future where quantitative rigor is as native to entertainment capital decisions as it is to finance and sports. If that intersection interests you, let\'s connect. streamchemistry.substack.com

Experience

  1. Sr Analyst, Content Analytics

    The Walt Disney Company

    Jun 2025 — Present · Glendale, CA, US

    I build the quantitative infrastructure for content investment decisions at scale — applying portfolio theory and probabilistic forecasting to streaming\'s most complex tradeoffs: what to greenlight, what to license, and how to balance a slate across risk, growth, and retention objectives.Portfolio-level forecasting and valuation analyses across TV and film slate, informing greenlight recommendations, licensing decisions, and lifecycle investment strategy.Designed risk-adjusted portfolio evaluation frameworks to balance growth, retention, and diversification objectives.Structured complex performance scenarios to quantify risk, upside, and tradeoffs across competing investment options.Presented recommendations on slate composition, investment prioritization, and performance benchmarks.

Education

  • University of Chicago

    Economics

    2013 — 2017

  • USC Marshall School of Business

    Master of Business Administration - MBA

Skills

  • Economics
  • Sql
  • Neuro-Linguistic Programming (Nlp)
  • Sports Analysis
  • Statistics
  • Tableau
  • Marketing
  • Microsoft Excel
  • R

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