Season 8, Episode 4 - Best Of "Thoughts On Leadership"

·25 min·1 clip

As an executive, Warren Hearns says you have to stop trying to be the expert on everything your team does.

1. Data Science Perspectives presents a best-of episode built around executives' thoughts on leadership. 2. Bill Franks hosts the series and introduces clips from Warren Hearns, Mano Manochar, Melanie Murphy, John Carter, Erica McBride, Colin Coleman, Rod Bates, Rasmus Wigner, and Dwight Specht. 3. The episode asks what leadership looks like when analytics teams have to scale, influence business partners, and manage up. 4. Warren Hearns of Cardlytics says the executive shift required him to stop trying to be the expert on every project. 5. Hearns uses PyTorch and TensorFlow as examples of details he no longer needs to control once he has hired smart people. 6. He compares modern analytics work to a 400-meter relay where the baton appears without visibility into how teammates complete their leg. 7. Mano Manochar of Travelers says analytics should start with 'rethink and reimagine every part of our daily work.' 8. Manochar says the opportunity is not only better operational decisions, but also advisory tools for frontline workers and 'next best action.' 9. Melanie Murphy says Fluent is a performance marketing company with an owned-and-operated digital media portfolio and proprietary first-party data. 10. Murphy says her team grew from reporting and machine learning pockets into data science, data engineering, and business analytics under one structure. 11. Murphy says she has moved from being a hands-on teacher and trainer to a coach and mentor. 12. John Carter says his teams grew from 5-10 people to 50-200 people and hundreds of projects a day. 13. Carter says he focused on organizational alignment, prioritization processes, talent, and empowering teams. 14. Carter also says he spent time with the CEO, chief operating officer, vice presidents, and the call center to 'grease the skids' for analytics. 15. Erica McBride says leaders should be met where they are, including when they ask for 'AI' after reading about it. 16. McBride says the response should be to embrace that excitement and connect it to the business challenge first. 17. Colin Coleman says managers should treat staff as customers and understand their career motivations. 18. Coleman distinguishes 'good churn' from 'bad churn' and says change should be handled so people leave for the right reasons. 19. The tone is practical and managerial, with many direct answers and little narrative framing. 20. People who manage analytics teams or hire data leaders will get the most value; listeners wanting a technical tutorial may skip it.

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