The TPM Who Pulls Her Own Data

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Most TPMs ask for data. I query it myself. The difference isn't efficiency — it's what you notice when nobody's filtering the answer for you.

A capacity review. Thursday afternoon. The data scientist presents a slide: "GPU utilization is trending up across all workload types. Fleet health is green."

I'm looking at the same data. But I ran the query myself that morning — broken out by hardware SKU, by team, by workload class. The aggregate is green. But one SKU is at 97% with a three-week job queue. Another is at 31%, allocated to a project that paused two months ago and never gave the capacity back. The slide says healthy. My query says we're about to miss a launch. I don't say, "The data is wrong." I say, "Can we pull up utilization by SKU?" The room sees it in ten seconds. The conversation shifts from status review...

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