Data-Driven Decision Systems for Technology and Engineering Management: Bridging Strategy & Execution at Scale

Most technology teams have more data than they know what to do with. The hard part isn't collecting it. It's building systems that consistently turn data into good decisions, and getting an organization to trust those systems enough to act on them.

This half-day workshop is a working session, not a lecture. We'll walk through two production case studies: one on automated pricing and experimentation systems that make continuous high-stakes decisions across global markets, and another showing how customer feedback signals from an AI analytics platform processing 5B+ data points feed directly into strategic growth investment decisions spanning 25+ countries. Between case studies, you'll run a decision automation maturity assessment on your own organization, map your highest-value automation opportunities in a guided design sprint, and present your roadmap to the room for structured peer feedback.

You'll leave with a concrete plan. Not a slide deck of frameworks.