Many data scientists and analytics professionals master the technical craft; coding, modeling, and optimizing. But making the leap from hands-on contributor to leader requires a whole new set of skills.

In this episode, we sit down with Brian Evergreen — global AI strategist and author of Autonomous Transformation — to explore how Fortune 10 AI leaders think differently, and how today's data professionals can start building that same mindset. Brian shares the seven leadership skills that help data experts grow into transformative leaders.

If you're a data scientist or analyst wondering what's next for your career, or how to lead with vision, this conversation is for you.

• How technical experts can evolve into strategists and value creators

• Why systems thinking is a hidden superpower

• How to shift from optimizing existing processes to creating entirely new value

• Why storytelling is a leadership skill every data professional needs

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When people think about data work, they often picture analytics pipelines or machine learning models. But two areas that often get overlooked are just as important for broadening your impact:

1. Business acumen — understanding markets, stakeholders, and how to become a trusted advisor.

2. Data products — navigating purchased datasets like Nielsen's Billboard ratings or syndicated consumer data.

In this episode, Solomon Kahn will explain both of these worlds.

From building trusted relationships to making decisions about buying data and what is available, Solomon will show why the most effective data professionals know the business of data from all different aspects.

• Why business acumen is a critical skill for data professionals (and how to develop it)

• How to move from being a technical contributor to a trusted advisor

• How purchased datasets like Nielsen Billboard ratings shape entire industries

• The economics of data as a product, and how to assess ROI before you buy

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Too often, data conversations get stuck in silos: tools, models, or dashboards in isolation. But data only delivers value when the entire ecosystem works together.

In this episode, Dylan Anderson, Head of Data Strategy at Profusion, joins us to break down what it really means to think holistically about data. We'll explore how business strategy, organizational design, governance, tech debt, and engineering all connect, and why ignoring these links creates inefficiency and frustration.

Dylan also shares how he develops "expert generalists" on his team, building data professionals who can see beyond their technical skills and drive real business outcomes.

Whether you're leading a team, looking for your next role, or just trying to elevate your impact, this conversation will help you zoom out and think like a strategist, not just a technologist.

• Why treating data topics in isolation leads to hidden inefficiencies and wasted effort

• How to align data strategy with business goals (and avoid "models for models' sake")

• Practical ways to assess if a company is taking a holistic approach before you join

• How to grow as a data professional by becoming an "expert generalist"

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