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Data As a Product Driver: Strategies for Aligning Data and Product Teams to Transform Organizations
Is your company struggling to get real value from data? Problem solved. This book is your guide to transforming an organization from one that treats data as an afterthought or merely a support function into one that makes data a key driver of product development and business innovation. In doing so, you’ll be able to measure outcomes that matter, rather than just tracking features shipped.
In a world where products are increasingly driven by data and AI, traditional approaches to product development and data management have become barriers to growth rather than enablers of success. At its core, this book establishes two fundamental principles for autonomous, outcome/data-driven product teams and the need for data assets to be managed as products. These principles are then expanded into practical frameworks, step-by-step implementation guides, and maturity models, that cross-functional teams in any industry can incorporate in their decision-making.
Whether you're a product manager wanting to become more data-fluent, a data professional aiming to increase your product impact, or a leader trying to break down silos in your organization, Data as a Product Driver provides practical steps to transform how your company uses data.
What You Will Learn
Reorganize your teams around business problems instead of technical disciplines.
Manage the transition from centralized data teams to domain-driven decentralized data ownership.
Build effective data platform teams that enable product teams while maintaining consistent standards across your data ecosystem.
Create data assets that provide lasting value across your organization.
Implement the right operating model for your company's size and maturity level.
Who This Book is For
Product and data leads driving organizational transformation, product managers, team accountable leads, and data practitioners, such as data engineers, data analysts, data scientists, and ML engineers, who are willing to evolve their team's operating model to maximize value from data.
In a world where products are increasingly driven by data and AI, traditional approaches to product development and data management have become barriers to growth rather than enablers of success. At its core, this book establishes two fundamental principles for autonomous, outcome/data-driven product teams and the need for data assets to be managed as products. These principles are then expanded into practical frameworks, step-by-step implementation guides, and maturity models, that cross-functional teams in any industry can incorporate in their decision-making.
Whether you're a product manager wanting to become more data-fluent, a data professional aiming to increase your product impact, or a leader trying to break down silos in your organization, Data as a Product Driver provides practical steps to transform how your company uses data.
What You Will Learn
Reorganize your teams around business problems instead of technical disciplines.
Manage the transition from centralized data teams to domain-driven decentralized data ownership.
Build effective data platform teams that enable product teams while maintaining consistent standards across your data ecosystem.
Create data assets that provide lasting value across your organization.
Implement the right operating model for your company's size and maturity level.
Who This Book is For
Product and data leads driving organizational transformation, product managers, team accountable leads, and data practitioners, such as data engineers, data analysts, data scientists, and ML engineers, who are willing to evolve their team's operating model to maximize value from data.
368 pages, Paperback
Published March 17, 2026
About the author
Xavier Gumara Rigol
1 book6 followersXavier Gumara Rigol has spent more than a decade at the intersection of product development and data, leading cross-functional teams focused on Business Intelligence, Data Engineering, Experimentation, and Product Information Management. His career spans from implementing data architectures for small businesses during his consulting days to participating in data transformation initiatives at companies like Schibsted, Adevinta, Oda, and Manychat.
Having witnessed firsthand the evolution from treating data as a support function to embracing it as a core product driver, Xavier brings a unique perspective that makes him an authoritative voice on the convergence of data into product development.
Having witnessed firsthand the evolution from treating data as a support function to embracing it as a core product driver, Xavier brings a unique perspective that makes him an authoritative voice on the convergence of data into product development.
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Displaying 1 - 4 of 4 reviews
Review of advance copy received from Author
Data as a Product Driver fills an important gap between product management and data practice.
While distributed data and product teams are not right for every organization, Xavier makes a convincing case for why this model works particularly well in product‑focused organizations where data is a core part of the strategy. The book goes deep into topics such as outcome‑oriented measurement, problem‑centric teams, embedded data roles, and treating data assets as products — all areas that are often mentioned, but rarely explored in detail.
There is plenty written about product (e.g. Marty Cagan) and team structures (e.g. Team Topologies by Skelton and Pais), but data is often treated as a side topic. This book does a good job of connecting those ideas and going much deeper into the data dimension, both organizationally and practically.
A clear, pragmatic read for leaders and practitioners working at the intersection of product, data, and technology.
While distributed data and product teams are not right for every organization, Xavier makes a convincing case for why this model works particularly well in product‑focused organizations where data is a core part of the strategy. The book goes deep into topics such as outcome‑oriented measurement, problem‑centric teams, embedded data roles, and treating data assets as products — all areas that are often mentioned, but rarely explored in detail.
There is plenty written about product (e.g. Marty Cagan) and team structures (e.g. Team Topologies by Skelton and Pais), but data is often treated as a side topic. This book does a good job of connecting those ideas and going much deeper into the data dimension, both organizationally and practically.
A clear, pragmatic read for leaders and practitioners working at the intersection of product, data, and technology.
Review of advance copy received from Author
A practical and experience-driven guide to making data matter
What I appreciated most about Data As a Product Driver is how clearly it comes from real-world experience. The scenarios and examples make the concepts easy to imagine in practice, and many of the frustrations described will feel very familiar to anyone who has worked in data leadership.
As someone who has spent years building data organizations, I often found myself nodding along—and reflecting on my own past decisions. The book does a great job highlighting the gap between treating data as a support function and truly letting it shape products and strategy.
For data managers, Heads of Data, and CDOs who want to build organizations where data genuinely drives outcomes, this is a thoughtful and worthwhile read.
What I appreciated most about Data As a Product Driver is how clearly it comes from real-world experience. The scenarios and examples make the concepts easy to imagine in practice, and many of the frustrations described will feel very familiar to anyone who has worked in data leadership.
As someone who has spent years building data organizations, I often found myself nodding along—and reflecting on my own past decisions. The book does a great job highlighting the gap between treating data as a support function and truly letting it shape products and strategy.
For data managers, Heads of Data, and CDOs who want to build organizations where data genuinely drives outcomes, this is a thoughtful and worthwhile read.
April 8, 2026
This book shows in a simple and practical way how to handle data. It takes you on a journey through tools that clearly work to optimize the way of working with data in a sustainable, efficient, and autonomous way while minimizing errors.
Without a doubt, Xavier Gumara Rigol has written the definitive manual to leave behind traditional organizational bottlenecks. Through highly illustrative examples and case studies, the author explains how to build truly empowered teams and how to treat data as a real product with a clear lifecycle.
It is a must-read for any professional who wants to prepare their company for the future and the adoption of Artificial Intelligence.
Without a doubt, Xavier Gumara Rigol has written the definitive manual to leave behind traditional organizational bottlenecks. Through highly illustrative examples and case studies, the author explains how to build truly empowered teams and how to treat data as a real product with a clear lifecycle.
It is a must-read for any professional who wants to prepare their company for the future and the adoption of Artificial Intelligence.
April 1, 2026
Excellent read for executives who want to go from having data as a support function to having data drive business impact in a tangible way. Xavier delivers a playbook with examples on how to structure teams, define ways of working and align that are a must for any executive walking the data transformation journey.
Displaying 1 - 4 of 4 reviews