Roman leads analytics for marketing and media at CarWow, and he's not interested in a team that just ships things. His argument is that most analytics teams get stuck answering questions instead of shaping decisions, and fixing that has almost nothing to do with better tooling. He walks through why he'd rather kill the ticketing system than keep it, why mandating AI adoption across a team never works, and why using AI on ninety five percent of his team's code still hasn't tripled their output.
We cover:
Why shipping a dashboard or a pipeline isn't the same as actually driving business impact
Why he'd rather scrap the ticketing system than let his team just take requests
His risk-based framework for when a system needs to be bulletproof, and when moving fast matters more
Why mandating AI adoption across a team doesn't work, and what he did instead
Why using AI on ninety five percent of his team's code still hasn't tripled their output, and what that reveals about where the real bottleneck is
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