Data & AI's new organization chart
A practical guide to new roles, skills and models for leadership.
In collaboration with Marta Díaz, Head of Data Platform and Governance at Adevinta and President of the International Data Management Association (DAMA) Spain.
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Did you know that only 25% of AI projects do not achieve the expected ROI?
AI promises much, but without a solid foundation it can bring more problems than solutions.
Added to this are other external risks: data leaks, skyrocketing costs, lack of storage, and regulations that are impossible to circumvent.
Data teams are no strangers to this wave of AI. The situation in the sector can be summarized in four major tensions that practically all companies are experiencing and that are forcing them to reinvent roles, processes and structures.
In this guide you will find:
The 4 forces transforming Data teams
And how they are forcing companies to reinvent roles, processes, and structures.
The new roles in modern Data & AI
And how the org chart is becoming more hybrid, more technical, and more product-oriented.
A practical framework
That will help you think through your current situation and how to redesign your Data team.
5 recommendations for leaders who want to get this right
From tech stack to company culture, everything plays a role when making the change.
