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CharlieDataMine at CharlieDataMine
Passionate technical professional skilled in building entrepreneurial, start-up initiatives and environments. Strong technical, product management, communication, marketing and leadership skills. Charlie Berger is the Senior Director of Product Management, Machine Learning, AI and Cognitive Analytics for Oracle Server Technology. Since 1999, he has been responsible for Oracle Machine Learning—starting when Oracle acquired Thinking Machines Corporation where he was VP of Product Management & Marketing. He works closely with Development, Customers and Applications that embed OML’s algorithms. He is the co-founder of BIWA Inc. that runs the Analytics and Data Oracle User Community (AnDOUC) TechCasts and events. Previously, he worked in product management and engineering in several startups in expert systems, statistical and exploratory data analysis, robotics and machine vision. Prior to that, he graduated from Honeywell Computer’s 3-year Manufacturing Management Program. He holds an MS in Manufacturing Engineering and an MBA, both from Boston University, and a BS in Operations Research/Industrial Engineering from the University of Massachusetts at Amherst.
Boston University
Master of Business Administration - MBA
January 1, 1981 – January 1, 1986
Boston University College of Engineering
M.S. Engineering, Manufacturing/Operations Research
January 1, 1979 – January 1, 1981
University of Massachusetts Amherst
B.S. Industrial Engineering/Operations Research
January 1, 1975 – January 1, 1979
CharlieDataMine
CharlieDataMine
June 1, 2021 – Present
Analytics and Data Oracle User Community
Analytics and Data Oracle User Community, Co-Founder & Board of Director, Oracle Advisor
January 1, 2006 – May 1, 2021
Oracle Corporation
Senior Director, Product Management, Life/Health Sciences Initiative and Data Mining Technologies
January 1, 2001 – January 1, 2007
Burlington, Massachusetts
Oracle Corporation
Senior Director, Product Management, Machine Learning, AI and Cognitive Analytics
June 1, 1999 – June 1, 2021
Burlington, Massachusetts
Thinking Machines Corporation
VP Product Management & Marketing
January 1, 1996 – January 1, 1999
Bedford, Massachusetts
BBN Technologies -Software Product Division
Industry Marketing Mgr/Semiconductors & Total Quality Improvement
January 1, 1992 – January 1, 1994
BBN Technologies -Software Product Division
Product Sales Manager - Statistical Process Control
January 1, 1991 – January 1, 1993
BBN Technologies -Software Product Division
Sr. Product Manager, SPC/SQC, DOE, Statistics
January 1, 1987 – January 1, 1991
Palladian Expert Systems, Inc.
Senior Product Manager, Operations Advisor
January 1, 1982 – January 1, 1986
Cambridge, MA
Automatix, Inc
Manufacturing Engineering Manager
January 1, 1982 – January 1, 1985
Burlington, MA
Honeywell Information Systems
Manufacturing Management Program
January 1, 1979 – January 1, 1982
Brighton, MA
IBM
Summer Engineering Professional
January 1, 1978 – January 1, 1978
Cultural Fit Analysis
The candidate's extensive experience in product management, particularly within large corporations like Oracle, suggests a fit for structured environments. Their involvement in co-founding and leading user communities indicates a collaborative and community-oriented mindset. However, the target role of 'Data Analyst' might be a step down from their senior leadership and product management roles, potentially leading to a mismatch in expectations or a desire for more strategic influence rather than hands-on analysis. The lack of recent hands-on technical project details makes it difficult to assess current technical cultural fit for a pure analyst role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic planning, and communication skills through their extensive product management roles, co-founding a user community, and managing analyst/press relations. Their experience in building teams and driving product adoption suggests a proactive and collaborative operational fit. The long tenure at Oracle indicates loyalty and deep institutional knowledge.