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J

Speaker

Jorg Heizenberg

3

talks

Gartner

Jorg Heizenberg serves as a Vice President and analyst at Gartner, specializing in guiding Data & Analytics (D&A) and AI leaders. He collaborates closely with Chief Data, Analytics, and AI Officers to support them in reaching their personal and enterprise goals by leveraging research, trends, and best practices. Jorg's expertise includes executive coaching, strategy and operating models, optimizing organizational structures, defining roles and skills, and nurturing data-driven cultures and behaviors. With over thirty years of experience in consulting and research, he has a proven track record in planning, designing, and executing successful initiatives. Jorg's guiding principle is straightforward: Data, analytics & AI revolve around people. By focusing on human-centric approaches, he assists organizations in building a solid foundation for success.

Bio from: gartner-data-analytics-apac-2025

Frequent Collaborators

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Talks & appearances

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CDAO Circle Roundtable: Updating Your Organizational Structures to Maximize Value (Multigroup)

2026-03-11 · gartner-data-analytics-us-2026
roundtable
with Brian Foster (Gartner) , Candice Kenney (Gartner) , Jorg Heizenberg (Gartner) , Michael Gabbard (Gartner) , Sarah Turkaly (Gartner)
AI/ML Analytics Data Quality

This multigroup session will focus on questions like: How should data and analytics teams be structured to maximize business value, align with strategy, and support governance, AI and data quality across distributed environments? Join this session to learn more.

Designing the Future Ready Data Analytics Organization for Agility and Consistency

2026-03-09 · gartner-data-analytics-us-2026
talk
Analytics

To position their teams as a must-have discipline that can fulfill cross-functional use cases, D&A leaders must optimize their organizational model. The optimal model balances enterprisewide capabilities focused on enablement with decentralized needs focused on outcomes. Discover the design principles that underpin the ideal model and learn how to strike a balance between centralized consistency and decentralized agility.