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Senior Manager, Advanced Analytics R&D at SAS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Georgia Institute of Technology
Ph.D., Mechanical Engineering
January 1, 1994 – January 1, 1997
Georgia Institute of Technology
M.S., Mechanical Engineering
January 1, 1992 – January 1, 1994
University of Minnesota
B.S., Mechanical Engineering
January 1, 1987 – January 1, 1992
SAS
Senior Manager, Advanced Analytics R&D
January 1, 2020 – Present
SAS
Principal Machine Learning Developer, Operations Research R&D, Advanced Analytics Division
November 1, 2017 – December 1, 2019
SAS
Principal Data Scientist, Operations Research R&D, Advanced Analytics Division
September 1, 2014 – November 1, 2017
Dassault Systemes
Senior Development Manager, Design Automation and Decision Support
November 1, 2011 – August 1, 2014
Cary, NC
Dassault Systemes
Manager, Decision Support
July 1, 2008 – October 1, 2011
Cary, NC
Engineous Software
Manager, Design Driver Software
January 1, 1998 – July 1, 2008
Cary, NC
Allison Engine Company
Graduate Engineering Co-op
December 1, 1995 – July 1, 1997
Indianapolis, IN
Rolls-Royce Inc., Atlanta, GA
Graduate Engineering Co-op
June 1, 1995 – September 1, 1995
Atlanta, GA
Allison Gas Turbine Division, General Motors Corporation
Design Engineer
June 1, 1990 – September 1, 1993
Indianapolis, IN
Cultural Fit Analysis
The candidate's background is heavily rooted in R&D, scientific computing, and advanced analytics within large corporate environments (SAS, Dassault Systemes). While this demonstrates a capacity for complex problem-solving and innovation, the direct alignment with a 'Backend Engineer' role, which often implies more direct software product development, API design, and system integration, is not explicitly clear. The focus on mechanical engineering and scientific applications, rather than general-purpose backend systems, might require a cultural adjustment. The lack of diverse project types outside of their core domain could indicate a narrower scope of interest, though their leadership roles suggest adaptability.
Soft Skills & Operational Fit
The candidate's extensive experience in leading R&D teams and managing complex projects suggests strong leadership, problem-solving, and strategic thinking skills. Their work on framework development and distributed systems indicates an ability to operate at a high level of technical abstraction and influence architectural decisions. The long tenure at SAS and Dassault Systemes implies stability and commitment. However, the resume does not explicitly detail collaboration styles or direct communication skills, which would need further assessment.