Deborah Wall, PhD, MPhil, MBA

Evaluator
DISC Type : DSC

Executive Director Principal Data Science (Applied AI) at Wells Fargo

New York City Metropolitan Area, United States

Overview

Deborah is an AI and data science executive with over 25 years of experience in financial services. A PhD graduate from Walden University, she has led large-scale digital transformations at firms like Wells Fargo and New York Life, delivering over $250M in business impact through applied AI and machine learning.

Outside of her executive roles, Deborah is a published author and shows a keen interest in the ethical application of AI, particularly concerning copyright protection for creators. She actively engages with and tests the latest generative AI technologies, such as Googles Gemini, sharing her findings and creations publicly.

Unique fact: She co-authored the book "AI Transformation Strategy for Executives: Making Money with Applied AI".

Personality Overview

Thorough Evaluator

Hard To Convince

Fast But Analytical

They have a unique set of diverse traits where they are decisive and methodical but can sometimes be extra cautious and skeptical  They focus on the results, but can still be quite procedural and analytical about how to get there They are not very likely to become strong advocates of your product or service

Topics They Care About

Applied AI Transformation
She led a $300M enterprise AI transformation at Wells Fargo and co-authored a book on executing AI transformation strategies for executives.
Generative AI Tools
She is actively experimenting with and posting about her use of Google's Gemini and NotebookLM to create infographics and videos from her professional profile.
AI Regulation
She has publicly supported the need for stronger AI regulation and copyright protection for artists and creators.

Media Appearances

Deborah has no verified media appearances

Work History

1-2024
Executive Director Principal Data Science (Applied AI) at Wells Fargo
9-2025
AI Transformation Author at Anthem Publishing Ltd
3-2023 - 12-2023
Executive Director Expert Applied AI Consultant at AI ML Expert Leader, Product/Program Management (Confidential companies)
9-2022 - 2-2023
AI Researcher PhD Graduate at Walden University
12-2021 - 8-2022
Corp VP Product Management, Center for Data Science Artificial Intelligence (CDSAi) at New York Life Insurance Company

Education

9-2011 - 2-2023
Doctor of Philosophy - PhD and Master's of Philosophy - MPhil from Walden University
MBA (full scholarship from La Salle University

More Information

Social Presence :

Prographics :

Exp : 3 Location : New York City Metropolitan Area, United States Job Level : Senior Designation : Executive Director Principal Data Science (Applied AI) at Wells Fargo
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Insights For Selling To Deborah

During A Call Or A Meeting

DO's

  • Help them weigh the risks by sharing objective proof points instead of anecdotes and examples
  • Help them see both - the ‘big picture’ impact and the ROI of the investment
  • Showcase how you can impact results but also make sure that you share detailed information too

DONT's

  • Avoid inviting them for any social interactions until you have built some rapport with them
  • Avoid self-deprecating references or general informality, it could decrease their trust in you
  • Avoid making strong statements, instead invite them to agree with you by asking them questions

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Deborah is

  • ROI matters the most to them, followed by process and finally proof of results
  • Will you ever get a clear answer from Deborah

  • They might hesitate a little, but will go ahead and say no when necessary (or asked)

Insights For Deal Planning

    How fast (or slow) will Deborah move?

  • They are unlikely to move very fast, especially when it comes to new products or services
  • Can Deborah take some risk or not?

  • They have relatively low risk-appetite and are not very likely to go for something unproven and risky

You And Deborah

Personality Compatibility


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