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Jim Oliver

Jim Oliver

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VP, Analytics, Data Science, and BI @ Gen Analytics Executive | AI & Data Science Products | Customer Obsessed
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Education

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The Wharton School

Ph.D., Decision Sciences and Applied AI -
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Stanford University

M.S., Electrical Engineering -
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University of Washington

B.S., Electrical Engineering -
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Stanford University

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Stanford University

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Work Experience

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Gen

Current

Gen

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eBay

2021-02-01 - 2024-04-01

eBay

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Sam's Club

2014-10-01 - 2021-01-01

Sam's Club

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UM Worldwide

2011-01-01 - 2014-10-01

UM Worldwide

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Nielsen

2009-01-01 - 2011-01-01

Nielsen

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Google

2007-01-01 - 2009-01-01

Google

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eBay

2004-01-01 - 2007-01-01

eBay

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Hewlett Packard Enterprise

2002-01-01 - 2004-01-01

Hewlett Packard Enterprise

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INSEAD

2001-01-01 - 2002-01-01

INSEAD

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CrossCommerce

1998-01-01 - 2001-01-01

CrossCommerce

Skills

Analytics Segmentation Predictive Modeling E-commerce Web Analytics Data Mining Strategy Business Intelligence Database Marketing Statistics CRM Start-ups Market Research Big Data Business Analytics Advertising Multi-channel Marketing Program Management Customer Insight Business Development

Summary

Proven executive applying data science, AI, and deep analytics to deliver business growth, drive customer delight, and deliver algorithmic products and solutions. A forward-thinking leader of high-performance global teams who utilizes a vast background and professional skill set to contribute to the long-lasting success of a company. My passion is to integrate data, analytics, and AI/ML as a core process that drives clarity and better decisions with a causal understanding of outcomes. An additional passion is to elevate the talent of analytic and data science individuals and teams. I lead impactful analyses and data science teams across the following domains: • Artificial Intelligence (AI) and Machine Learning (ML) • Data Science and Statistics • Marketing Analytics • Product Analytics • Business intelligence and KPIs that matter • Data and AI/ML Products • Experiments and causal modeling • Behavioral economics and decision biases • Predictive Modeling • Digital Transformation and leading change • Consumer Research • Customer Analytics and Customer Insights • High Performance Teams and driving engagement

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