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Stephen P Woundy

from Boston, MA
Age ~40
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Also known as:
Steve P Woundy
Related to:
Catherine Ann Cutaiar, 44Teresa M Cutaiar, 67
Connected to:
Krystal M Woung, 33Chris Wouralis, 59Lucita Wourman, 46Barbara A Wourms, 72Alain W Wouters, 82Brian J Wouters, 47Bruce S Wouters, 77Charles L Wouters, 64Christopher E Wouters, 46Cory S Wouters, 35

Stephen Woundy Phones & Addresses

  • Boston, MA
  • 220 Cardigan Rd, Tewksbury, MA 01876 (978) 851-5193
  • New York, NY
  • 1612 Worcester Rd, Framingham, MA 01702 (508) 872-1242
  • Waltham, MA

Work

Company: Staples Jan 2013 Position: Director, global analytics & testing, data infrastructure & analytics engineering

Education

Degree: BS School / High School: Bentley University 2002 to 2006 Specialities: Finance, Marketing

Skills

Analytics • Strategy • Analysis • Leadership • Web Analytics • Marketing • Forecasting • Microsoft Excel • Management • E Commerce • Sales • Business Development • Process Improvement • Salesforce.com • Seo • Access • Training • Budgets • Business Process Improvement • Online Marketing • Enterprise Software • Engineering • Enterprise Architecture • Product Management • Cross Functional Team Leadership • Digital Strategy • Engineering Management • Systems Engineering • Product Development • Software Development Life Cycle • Software Development Methodologies • Data Science • Very Large Scale Integration • Large Scale Data Analysis • Team Leadership • Leadership Development • Organizational Leadership • Strategic Leadership • Marketing Strategy • Digital Marketing • Marketing Management • Product Marketing • Online Advertising

Industries

Computer Software

Resumes

Resumes

Stephen Woundy Photo 1

Executive Director, Search And Personalization Technology

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Location:
New York, NY
Industry:
Computer Software
Work:
Staples since Jan 2013
Director, Global Analytics & Testing, Data Infrastructure & Analytics Engineering
Staples - Framingham Mar 2012 - Jan 2013
Global Analytics & Testing
Staples Oct 2009 - Mar 2012
eBusiness Intelligence
Liberty Mutual Feb 2008 - Jul 2009
Analyst, Online Analytics
Liberty Mutual Jun 2006 - Feb 2008
Acquisition Analyst
Education:
Bentley University 2002 - 2006
BS, Finance, Marketing
Skills:
Analytics
Strategy
Analysis
Leadership
Web Analytics
Marketing
Forecasting
Microsoft Excel
Management
E Commerce
Sales
Business Development
Process Improvement
Salesforce.com
Seo
Access
Training
Budgets
Business Process Improvement
Online Marketing
Enterprise Software
Engineering
Enterprise Architecture
Product Management
Cross Functional Team Leadership
Digital Strategy
Engineering Management
Systems Engineering
Product Development
Software Development Life Cycle
Software Development Methodologies
Data Science
Very Large Scale Integration
Large Scale Data Analysis
Team Leadership
Leadership Development
Organizational Leadership
Strategic Leadership
Marketing Strategy
Digital Marketing
Marketing Management
Product Marketing
Online Advertising

Publications

Us Patents

Large-Scale Customer-Product Relationship Mapping And Contact Scheduling

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US Patent:
20160117703, Apr 28, 2016
Filed:
Jun 9, 2015
Appl. No.:
14/735064
Inventors:
- Framingham MA, US
Chandrasekhar Ganduri - North Grafton MA, US
Dustin Lehr - Arvada CO, US
Curtis Todd Breithaupt - Boulder CO, US
Stephen Woundy - Framingham MA, US
Daniel Cy Doyle - Thornton CO, US
International Classification:
G06Q 30/02
Abstract:
In an example embodiment, a method retrieves a customer product-class mapping that maps a customer identifier of each of a multiplicity of customers to 1) a customer tier, 2) a product class associated with an online, retail, and/or phone sales channel, and 3) a plurality of variables characterizing an interaction of the customer with the product class via the online, retail, and/or phone sales channel. The method generates a predictive score for each unique combination of the customer identifier, the customer tier, and the product class using predetermined online sales channel rules, predetermined retail sales channel rules, and/or predetermined phone sales channel rules, respectively, and the plurality of variables. The method selects a first set of customers from the multiplicity of the customers based on the predictive score and a revenue generated from the each unique combination and generates a schedule for contacting the first set of customers.
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Stephen P Woundy from Boston, MA, age ~40 Get Report