Episode

Data Debrief: Elephants, Driving & LinkedIn Debates

Podcast
Driven by Data: The Podcast
Published
May 14, 2026
Duration seconds
2592
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not_requested
Canonical source
https://driven-by-data-the-podcast.captivate.fm/episode/data-debrief-elephants-driving-linkedin-debates
Audio
https://episodes.captivate.fm/episode/dea7fdcc-6e47-4bbc-84cd-63dc5671d76a.mp3
JSON
/v1/public/podcasts/driven-by-data-the-podcast-1318403/episodes/data-debrief-elephants-driving-linkedin-debates
Markdown
/podcast/driven-by-data-the-podcast-1318403/data-debrief-elephants-driving-linkedin-debates.md

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Summary

Welcome to another episode of the Data Debrief, the companion show to Driven by Data: The Podcast, where hosts Catherine Dowden-King and Kyle Winterbottom unpack Tuesday’s episode, share what’s been on their minds, and explore the realities of leadership, culture, and capability across the data and AI landscape. This week, Catherine and Kyle reflect on the conversation with Dru Patel from the FA, diving deeper into the human side of data leadership, from storytelling and self-awareness to the commercial realities of what it actually takes to succeed at the executive level. They cover: Why Dru Patel’s approach to storytelling and communication stood out as one of the most compelling conversations the podcast has hosted to date How technical capability alone has become “table stakes” in data leadership, and why the differentiator is now influence, communication, and the ability to shape perception Why “soft skills” might be the most damaging phrase in the industry, and how cultural buy-in and human-centred leadership are often the real drivers of ROI The uncomfortable reality that working hard and being technically brilliant doesn’t automatically lead to progression, and why self-awareness is becoming a critical leadership trait How data leaders can shift conversations away from platforms, dashboards, and governance, and toward decisions, business outcomes, and commercial impact Why organisations still struggle with the perception of data teams as back-office technical functions, and how that perception shapes hiring, mandates, and ultimately failure The difference between data literacy and data culture, and why culture is what happens when nobody is watching How lived experience, industry context, and organisational history shape expectations around data quality, trust,…