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Stephanie McReynolds

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Stephanie McReynolds

2

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VP Product & Portfolio Marketing OneTrust Technology, LLC

Stephanie McReynolds is the Vice President of Product Marketing at OneTrust, where she leads product and portfolio marketing for Consent & Preferences, Privacy, AI Governance, and Data Governance. OneTrust serves 14,000+ customer organizations as a platform for operationalizing privacy, consent, AI governance, and data governance. Prior to OneTrust, she led product and marketing teams at Oracle, Teradata, Trifacta, Alation, and Ambient.AI. She holds master’s and bachelor’s degrees from Stanford University.

Bio from: Data + AI Summit 2025

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Sponsored by: OneTrust | Enforcing customer consent & AI-ready data with policy orchestration in Unity Catalog & OneTrust

Customer data is an organization's most valuable asset. It is also the hardest to govern and use in a dynamic business environment. Consumers can revoke their consent in an instant, regulations continue to grow, and internal data policies change. Most troubling is when cross-functional teams question whether, when, and how they can use customer data. How does an organization—let alone a data governance team and its stakeholders—manage this data and policy fragmentation, while enabling data use? Join product leaders from OneTrust as they explore new data governance practices and technologies for delivering AI-ready data. We’ll demo an integration that orchestrates data policy enforcement through Unity Data Catalog and the OneTrust Data Use Governance solution. Understand how this new offering in addition with OneTrust’s solutions for Consent & Preferences and AI Governance align your data governance & compliance initiatives for AI innovation.

AI is data hungry. The lack of data is the most frequently identified barrier to AI adoption. We’re not lacking in data, per se. We’re lacking data that is AI-ready. And traditional data governance practices often hinder AI project progress.

Learn how a European AI innovation leader more than halved the wait time for AI-ready data, saving hundreds of pounds per year by implementing both a data enablement culture and a data policy enforcement technology solution.