Jean-Georges Perrin

Chair/Senior Product Manager
Bitol/Actian

Jean-Georges “jgp” Perrin is a data passionate. As chair of the Linux Foundation’s Bitol project, Jean-Georges leads efforts to establish global standards for data, including the Open Data Contract Standard (ODCS), which fosters more reliable and efficient data ecosystems. He is the author of Implementing Data Mesh (O’Reilly), a pivotal resource for the data community, and Spark in Action, 2nd Edition (Manning), which empowers developers to harness the power of Apache Spark. He is currently a Senior Product Manager at Actian.

With over 25 years of IT expertise, Jean-Georges has earned titles such as Lifetime IBM Champion, PayPal Champion, and Data Mesh MVP, reflecting his contributions to data innovation. Passionate about sharing knowledge, he has spoken at over 150 international conferences and regularly shares insights through his blog at jgp.ai.

Outside his professional life, Jean-Georges enjoys exploring the scenic landscapes of Upstate New York and New England with his family, balancing his love for technology with a passion for nature and adventure.

Product-Oriented Data Engineering and Management

From Assembly Line to AI, Detroit’s Legacy, Reimagined for Data

Enter Product-Oriented Data Engineering and Management (PODEM), a modern approach to data that blends engineering discipline with product agility. At its

core, PODEM builds on the Holy Data Trinity:

  • Data Contracts are the blueprints and tolerances, just like early 20th-century factory specs, ensuring components fit and function together.

  • Data Products are the output of your data factory, engineered assets that, unlike Ford’s black-only Model T, allow for controlled customization, self-service discovery, and domain ownership.

  • Data Mesh is the transport infrastructure, your data highway system connecting domains with the speed and autonomy needed for today’s decentralized enterprise.

While Taylorism focused on consistency and throughput, PODEM adapts its rigor

for a world that demands flexibility, explainability, and reuse. It’s about moving

from monolithic pipelines to modular, reliable, and self-serve data experiences,

and it scales.

In this session, Jean-Georges “jgp” Perrin, chair of the Bitol project at the Linux

Foundation, will connect Detroit’s industrial DNA with today’s data strategy,

showing how PODEM and open standards like ODCS and ODPS can guide your

journey from raw data to AI-ready platforms.