1. How do we balance delivering value today with building capabilities for tomorrow?

This is the constant stretch every data leader faces:

• Prioritize heavily to focus on work that clearly creates value
• Deliver results quickly to maintain credibility and sponsorship
• Work across the company, not only in vertical streams
• Strengthen the connection with the business
• Build infrastructure in parallel (modern platform, clear processes, enablement)

When stepping into a new role or transformation, consider cutting projects initially so the team can focus, then gradually expand as foundation strengthens.

2. Is standardization still important in a federated model?

Yes. Standardization isn't glamorous, but for large, multi-domain organizations it's essential. Shared processes and frameworks help federated teams work together without fragmenting.

Without standards, you risk:

• Duplicated effort across teams
• Incompatible systems and data definitions
• Inability to scale innovations across the organization
• Loss of synergies between domains

The central organization should own standards, but apply them pragmatically—enabling consistency while allowing business-specific adaptations.

3. How do we navigate internal politics during data transformation?

Expect political questions and address them head-on:

• Who owns digitalization now? (Business units? Central team? Shared?)
• What role does IT play? (Infrastructure? Partnership? Service provider?)