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Heroes vs Anti-Heroes: Data Leadership Uncovered
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Heroes vs Anti-Heroes: Data Leadership Uncovered

Malcolm Hawker on Growth vs. Limiting Mindsets in the AI Era and How to Win With Business-First Data
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This week on Intelligent Products, I had the privilege of sitting down with Malcolm Hawker author of The Data Hero Playbook, former Chief Data Officer at Profisee, and host of the CDO Matters Podcast. Malcolm is one of the most recognized voices in data leadership, with a global perspective shaped by countless conversations with CDOs and data leaders worldwide.

What we talked about

In this episode, we explored what it truly means to be a “Data Hero.” Malcolm shared hard-earned lessons on why so many data leaders struggle, the traps of becoming a “Data Anti-Hero,” and the essential shifts needed to align data work with business outcomes. We also dug into the current wave of AI, how it’s reshaping data leadership, and what leaders must do to separate hype from real impact.

Takeaways

  • Organizations can have a growth-centered mindset.

  • Data-driven decision-making requires a shift in perspective.

  • Language used in data discussions can reinforce negative perceptions.

  • Leaders must focus on customer needs to navigate AI hype.

  • Failure is a growth opportunity, not a setback.

  • Identifying anti-hero traits in leadership is crucial.

  • New governance models are needed in the age of AI.

  • Critical thinking is essential for data practitioners.

  • The role of CDOs is evolving with AI advancements.

  • Mindset is as important as tangible metrics in leadership.

What you’ll learn

  • The defining traits of a Data Hero vs. a Data Anti-Hero

  • Why mindset and storytelling matter more than tools and platforms

  • Common reasons CDOs fail and how to avoid them

  • Practical frameworks from The Data Hero Playbook

  • How to think about AI as an enabler, not a distraction

  • The future outlook for data leadership in an AI-driven world

Conclusion

This is a conversation packed with insight, honesty, and actionable takeaways for anyone leading with data and AI. Malcolm brings clarity to one of the most misunderstood roles in business today.

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