In Episode 11 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom was joined by David Krauza, VP of Enterprise Data Strategy, Products & Governance at Comcast, where they discuss why strategic clarity and proactive stakeholder engagement are the keys to unlocking genuine business value from data and AI, which includes;

Why the root cause of failed AI and data programmes is almost never the technology and almost always the absence of a clear business outcome.
How to tell the difference between an organisation that has genuine strategic clarity and one that just has a compelling PowerPoint.
Why a strategy without explicit trade-offs, knowing what you are not going to do, is no strategy at all.
How "arts and crafts" projects quietly drain data programmes of focus, credibility, and commercial impact.
Why retrofitting goals around work already underway creates a circular dependency that pulls organisations further from real value.
Why the "bus riders and bus drivers" framework reframes what it means to be an effective data leader.
Why waiting for perfect conditions before driving impact is one of the most common and costly habits of data leaders.
How proactively building relationships with CFOs, COOs, and business unit heads before you need them is what separates influence from scrambling.
Why the trust deficit most data leaders face is a sequencing problem, not a communication problem.
How starting within your own team or with a single friendly stakeholder is the most practical way to begin building the bus driver muscle.
Why most CDO mandates are structurally designed to deliver outputs rather than value and how that shapes the type of leader organisations end up hiring.
How to navigate a broken mandate in practice and why challenging it in the interview room is riskier than it sounds.
Why the incentive structures within data leadership roles have historically rewarded technical delivery over commercial impact.
Why the data industry's technical origins created an archetype that is now working against the commercial value organisations actually need.
How company size and culture determine whether data is treated as a strategic asset or an internal IT service and why that changes everything.
Why organisations that started their data journey for the wrong reasons often find the perception too deeply embedded to shift from within.

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