Priya Singhee

Enigma
DISC Type : icd

VP, Enterprise analytics & Data Science at Early Warning®

Los Altos, California, United States

Overview

Priya Singhee is the VP of Data Science & AI at Early Warning®, the parent company of Zelle. She specializes in building fraud and risk machine learning models, product analytics, and experimentation. Her extensive career includes leading global data teams of over 50 members at hyper-growth companies like Wayfair and Walmart.

Outside of her primary role, Priya is an investor with InvestInData, an angel syndicate backing enterprise AI companies. She actively writes about the challenges and best practices for data science teams on her Substack blog, and is passionate about connecting with and supporting early-stage data startups.

Unique fact: Priya won a company hackathon for implementing a BI chatbot, allowing users to query data directly within a chat window.

Personality Overview

Fast Follower

Friendly Yet Blunt

Persuasive & Assertive

They can sound friendly and charming but can quickly change gears to become inquisitive and probing  They are likely to ask many questions and look heavily for supporting proof as well as information. They are generally strong communicators and are not easy to convince.

Topics They Care About

Fraud & Risk ML
Leads the data and machine learning strategy for identity and payment risk at Early Warning®, building models that protect thousands of financial institutions.
Scaling Data Teams
Has over 15 years of experience building and coaching global analytics and data science teams with more than 50 members at companies like Wayfair and Walmart.
Product Analytics
Focuses on using analytical frameworks, A/B testing, and applied data science to drive incremental product improvements, a key part of her role at Wayfair.

Media Appearances

Priya has no verified media appearances

Work History

7-2023
VP, Enterprise analytics & Data Science at Early Warning®
6-2023
Investor at InvestInData
11-2021 - 4-2023
Global Head of Storefront Analytics , Experimentation and Instrumentation at Wayfair
4-2020 - 11-2021
Vice President , Analytics & Data Science (Came via Vudu Acquisition) at Fandango
5-2018 - 4-2020
Sr Director, Analytics & Data Science at Walmart eCommerce - Vudu Movies & TV

Education

2001 - 2003
MS from Baruch College

More Information

Social Presence :

Prographics :

Exp : 21 Location : Los Altos, California, United States Job Level : Senior Designation : VP, Enterprise analytics & Data Science at Early Warning®
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Insights For Selling To Priya

During A Call Or A Meeting

DO's

  • Let them lead the discussion, create opportunities for them to speak if they are not very forthcoming
  • Use phrases like ‘clear evidence’, ‘data-based results’ etc.
  • Help them realize that any personal risk in making this decision is far less compared to what the results could mean for them

DONT's

  • Avoid long presentations and just 'high-level' value proposition, dive into the details
  • Don’t rely excessively on your relationship with them to win the deal even if you come to form one
  • Don’t be too objective but make sure to pad your storytelling with data points

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Priya is

  • Proven value, strong objective evidence are important for them, rapport can impact decisions a little.
  • Will you ever get a clear answer from Priya

  • They are practical and friendly, but can give a clear response with a little prodding

Insights For Deal Planning

    How fast (or slow) will Priya move?

  • They like to be detailed, so unless they develop strong conviction, they can take their time to arrive at decisions
  • Can Priya take some risk or not?

  • They evaluate their decisions systematically and do not take risks that often, unless you can get them to develop strong conviction

You And Priya

Personality Compatibility


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