Why Overvaluing Industry Experience Limits Innovation in Data Leadership

A senior exec once asked me whether my experience with streaming vs. batch processing and customer data platforms “really translates” across industries. On the surface, it’s a fair question. But it reveals a hiring mindset that quietly constrains many companies: the belief that industry experience is the primary predictor of leadership success. The Illusion of Uniqueness Every leadership team thinks their industry is uniquely complex. Sometimes that’s true. Regulatory nuance in healthcare, trading rules in …

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Data Teams Are Not Service Teams

Over time, a lot of data teams drift into a pattern that’s hard to break out of. They become ticket takers, constantly responding to requests, pulling data for one-off questions, fixing dashboards, and explaining why numbers don’t match. It feels helpful at first. But eventually, the work starts to pile up, context starts to disappear, and the team is mostly reacting instead of building anything meaningful. The service model becomes the default, and that’s a …

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Structuring Data and Analytics Teams for Impact

As more companies invest heavily in data as they grow, the question of how to structure the data and analytics function becomes increasingly important. It is not just about reporting lines or team charters. Structure influences how effectively data is used, how talent is retained, and how aligned the team is to business priorities. In my experience, I have seen a range of models in action: centralized teams, embedded analysts, and hub-and-spoke hybrids. I have …

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Leading Analytics Without Losing the Plot

In today’s data-saturated world, analytics leaders are under constant pressure to deliver more. More dashboards. More tools. More data. And yet, despite all that output, many teams struggle to drive outcomes that matter. Somewhere along the way, they lose the plot. This post is about staying grounded. It’s about leading analytics with clarity, avoiding common traps, and making sure your efforts connect back to what truly matters: progress, not just process. The Story Is the …

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Data Contracts: Hype, Reality, and Practical Value

Over the past few years, data contracts have surged in popularity—touted as the missing link between data producers and consumers. Yet as with most trends in data architecture, hype often outpaces practical value. Let’s break down where data contracts truly shine, where they fall short, and how to think about them in the broader context of building scalable, trustworthy data platforms—and enabling effective data governance at scale. What Are Data Contracts, Really? At their core, data contracts …

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