Tiffany Perkins-Munn
C-suite & Board Advisor | Editorial Board Member for CDO Magazine | CDO Global Data Power Women 2025 Honoree & Award Recipient | AI–100 Award Recipient from Aim Research | Top 100 Most Influential People in Data by DataIQ | Top 10 Finalist, Merrill Lynch Global Markets Innovation Program
Tiffany
Perkins-Munn

Tiffany
Perkins-Munn
About Tiffany
Dr. Tiffany Perkins-Munn is on a mission to bring research, analytics, and data science to life. She earned her Ph.D. in Social-Personality Psychology with an interdisciplinary focus on Advanced Quantitative Methods. Her insights are the subject of countless lectures on psychology, statistics, and their real-world applications.
As the Head of Data and Analytics (D&A) for J.P. Morgan Chase’s Connected Commerce business, her knack involves unraveling complex business problems through operational enhancements, augmented financials, and intuitive recruiting. After over two decades in the industry, she consistently forges robust relationships across the corporate spectrum, becoming one of the top 10 Finalists in the Merrill Lynch Global Markets Innovation Program and receiving a 2025 recognition as one of the Top 200 Global Data Power Women by CDO Magazine.
RECENT FEATURES








About Tiffany
Dr. Tiffany Perkins-Munn is on a mission to bring research, analytics, and data science to life. She earned her Ph.D. in Social-Personality Psychology with an interdisciplinary focus on Advanced Quantitative Methods. Her insights are the subject of countless lectures on psychology, statistics, and their real-world applications.
As the Head of Data and Analytics (D&A) for J.P. Morgan Chase’s Connected Commerce business, her knack involves unraveling complex business problems through operational enhancements, augmented financials, and intuitive recruiting. After over two decades in the industry, she consistently forges robust relationships across the corporate spectrum, becoming one of the top 10 Finalists in the Merrill Lynch Global Markets Innovation Program and receiving a 2025 recognition as one of the Top 200 Global Data Power Women by CDO Magazine.
Data (De)coded: What Everyone Needs to Know about Data and AI (No Tech Degree Required)
We are all standing at the edge of a vast ocean of information, where we are all collectively generating data every millisecond. We can all feel overwhelmed by the sheer volume of numbers, charts, and algorithms everywhere around us. It’s a common feeling in today’s digital age, where data and artificial intelligence (AI) shape our world in ways that are both exciting and scary.
“Data Decoded,” is crafted specifically for you—the curious mind eager to understand the mechanics behind the data and technology (AI is a combination of both) that drives our lives, yet daunted by the jargon and complexity often associated with it.
In “Data Decoded,” I lay out the essentials of data and AI without the intimidating technicalities that are typically confusing. This book is your guide to explaining the concepts, making them understandable and relatable. You don’t need a technology degree or a background in computer science to grasp the ideas that will empower you in your personal and professional life.

What people are saying about the book:
Latest News from the Blog

How AI is Transforming Digital Marketing: From Data to Decisions
Reading Time: 7 minutesHow is AI in digital marketing reshaping the way brands connect with their audiences? Can AI in digital marketing really understand emotions and predict consumer behavior? What ethical challenges come

Dating App Algorithms & How They Match People
Reading Time: 9 minutesWhat really determines your dating app matches—your preferences, your behavior, or something deeper? Are dating app matches the result of a simple swipe, or do algorithms fine-tune them based on

Tools That Can Make Everyone More Productive at Work
Reading Time: 8 minutesAre you making the most of today’s top productivity tools? Which productivity tools can help reduce burnout instead of adding more tasks? How do productivity tools like Grammarly, Calendly, or