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  1. Speaker
  2. Eshita
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WOMEN IN TECH GLOBAL CONFERENCE 2026

Eshita Gupta

Lead Product Manager, Analytics Infrastructure at Apple Inc.

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"Designing Trust-First Personalization: Building Privacy-Embedded Analytics for Scalable Impact"

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Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.


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Session: Designing Trust-First Personalization: Building Privacy-Embedded Analytics for Scalable Impact

In an era where consumer trust is paramount, personalization must be underpinned by privacy, accuracy, and governance. Drawing on enterprise-grade analytics transformations at Apple, Macy’s, and Albertsons, this session will show how to:

• Build first-party, privacy-resilient data systems that minimize tagging overhead while preserving data quality.
• Embed governance directly into analytics platforms, turning privacy from a blocker into a strategic advantage.
• Create cross-functional workflows between engineering, product, and marketing to enable impactful experimentation and personalization.
• Move from reactive reporting to proactive, trust-driven decision frameworks.

Attendees will leave with a clear action plan for implementing scalable, compliant personalization strategies that strengthen both customer experience and business outcomes.


Key Takeaways

  • Privacy-Embedded Personalization Frameworks – Learn how to design personalization strategies that build trust and comply with evolving privacy standards without sacrificing customer experience.
  • Cross-Functional Collaboration Models – Gain actionable techniques for aligning marketing, product, and engineering teams around data-driven personalization goals.
  • From Reporting to Proactive Insights – Transition your analytics function from a reactive reporting role to a proactive driver of customer engagement and business transformation.


Bio

Eshita Gupta is a seasoned analytics and data strategy product manager with over a decade of experience designing and scaling enterprise analytics infrastructures for Fortune 500 companies, including Apple, Macy’s, and Albertsons. In her current role at Apple, she leads the development of privacy-first, first-party data systems that deliver high-quality, governed datasets to power decision-making at scale. Her expertise spans data governance, cross-platform analytics integration, experimentation frameworks, and enabling organizations to move from reactive reporting to proactive insights.

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