Kurt Thearling

Current

Head of Decision Sciences at Vertex Data Science

Past

Vice President, Strategic Technology at Capital One
Director of Engineering at AnVil
Chief Scientist at Wheelhouse

Director of Analytics at Xchange
Senior Scientist at Dun & Bradstreet
Senior Scientist at Thinking Machines

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Education

University of Illinois
University of Michigan
University of Michigan

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Connections

383 connections

Industry

Outsourcing/Offshoring

Kurt Thearling’s Summary

Executive with more than fifteen years of experience and leadership in analytics and data mining. Background includes work in a variety of areas, including financial services, life sciences, insurance, utilities, and telecommunications. I focus on delivering value at the intersection of analytic technology and business.

Outside of my current role at Vertex, I am an adjunct faculty member in the graduate school of business at Virginia Commonwealth University. I have also participated on advisory boards for SAS (analytics), SPSS (analytics), and ActivePrime (data quality), and am co-author of the book "Building Data Mining Applications for CRM."

Kurt Thearling’s Specialties:

Analytics, data mining, statistical decision making, business intelligence, CRM, emerging technologies, technology innovation.

Kurt Thearling’s Experience

Head of Decision Sciences

Vertex Data Science

(Privately Held; Outsourcing/Offshoring industry)

2008 — Present (1 year )

Creating and leading the analytics business for Vertex, a multi-national business process outsourcing company.
Vice President, Strategic Technology

Capital One

(Public Company; COF; Financial Services industry)

2003 — 2008 (5 years )

Led Capital One's advanced technology organization, with a focus on accelerating the use of new analytic technologies. Personally drove the development of Capital One's corporate-wide analytic infrastructure plan, covering the full range of analytic processes: database platforms, statistical modeling tools, process & work product governance, analyst collaboration & knowledge management, and production scoring environments. In addition to analytics, I also led technology innovation and patent efforts for Capital One.
Director of Engineering

AnVil

(Biotechnology industry)

2002 — 2003 (1 year )

Managed the technology organization at AnVil, an in silico drug discovery company focused on the commercial analysis of biological and clinical datasets. Led the development of AnVil's data analysis platform technology (ADAPT), an award winning system of data management and mining tools used to automate the analysis of life science datasets.
Chief Scientist

Wheelhouse

(Information Technology and Services industry)

2000 — 2002 (2 years )

Led the technology organization at Wheelhouse, a CRM software and services company. As a member of the senior management team, I also performed numerous corporate duties including engaging clients, sales calls, setting strategy, public speaking, fundraising (including a $52M investment round), etc.
Director of Analytics

Xchange

(Information Technology and Services industry)

1997 — 2000 (3 years )

Directed the development of analytic applications (data mining, business intelligence, customer optimization, and visualization) as part of Xchange's suite of CRM software applications.
Senior Scientist

Dun & Bradstreet

(Public Company; 10,001 or more employees; Information Services industry)

1994 — 1997 (3 years )

Founded a corporate-wide resource in data mining and data analysis for the entire Dun & Bradstreet organization (30 companies). Working with the Pilot Software division of D&B, created the Pilot Discovery Server, one of the first data mining applications to tightly integrate with business intelligence and relational database technology.
Senior Scientist

Thinking Machines

(Privately Held; 201-500 employees; Computer Hardware industry)

1990 — 1994 (4 years )

Created the Darwin data mining software application, one of the first commercial data mining software applications able to analyze extremely large databases (100 GB to 1 TB) using high-performance compute servers.