The Organizational Dynamics and Politics of Data Modeling

Full chapter (Part 3 of the book) on why power, politics, and people matter far more than most data modelers realize. Reis argues that data modeling education almost completely ignores organizational dynamics, and practitioners who lack situational awareness of their organization have lower success rates.

The chapter covers mental frameworks for navigating organizational politics as a data modeler: understanding power structures, building trust with stakeholders, managing competing definitions across teams, and handling resistance to modeling discipline. Consolidated from earlier Substack articles into one of four chapters closing out Book 1.

RDCO relevance

Directly connects to trust/ownership themes in our vault. This is the “soft skills” complement to technical modeling work — exactly the territory where our consulting adds value beyond just writing dbt models. Clients often fail not on technical implementation but on organizational alignment. Cross-ref data-trust-ownership.