Daniel Quinlan in

Daniel Quinlan

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VP, AI Delivery and Development Lifecycle at Equifax
📍 Greater St. Louis, United States

Daniel is the Vice President of Data Engineering & Analytics at Equifax, where he leads a global organization of over 50 data professionals. His expertise spans data engineering, advanced analytics, and machine learning, and he is a Google Cloud Certified Professional Machine Learning Engineer.

Based in St. Louis, Daniel appears to be an avid fan of pop culture outside of his technical career. His public online discussions show a deep knowledge and interest in the Marvel Cinematic Universe and the anime series Naruto, including characters, plotlines, and fan theories.

Before leading data teams, his career included work as a digital forensics investigator for civil legal disputes and internal corporate cases.

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Experience
14 Years
Current Role
VP, AI Delivery and Development Lifecycle
Job Level
Senior
Location
Greater St. Louis, United States
Personality Overview

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Communication Style
Decision Approach
Work Preference

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Priorities

Topics Daniel cares about

Data Engineering
He leads a data engineering organization of 50+ people at Equifax and has a background in building data pipelines and ETL processes at multiple companies.
Team Leadership
His professional posts and job descriptions emphasize mentoring and leading large, distributed teams of data engineers, data scientists, and developers.
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Career

Work history

5-2026
VP, AI Delivery and Development Lifecycle
Equifax
4-2022 - 5-2026
Vice President | Product Engineering Leader, Data Engineering & Analytics
Equifax
3-2018 - 4-2022
Director, Data Visualization & Analytics
Equifax
1-2013 - 3-2018
Team Lead
Cerner Corporation
6-2011 - 8-2012
Security Advisor
SpearTip
In the press

Media appearances

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Education
2017 - 2019
Masters
University of Kansas Medical Center
2008 - 2011
BS
University of Notre Dame
Social presence
in
Behavioral profile

DISC profile (public)

DISC behavioral profile

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