Jitendra Subramanyam
Data AnalystGartner Research Board
Gartner
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Gartner Research Board
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data science and research team leader, champion of the business and customer perspective, builder of products and services around rich data sets. Implement machine learning models for clients large and small across a variety of industries.
University of Michigan
Doctor of Philosophy (Ph.D.), Thesis: Determinism and Indeterminism in Quantum Theory
January 1, 1998 – Present
University of Maryland
B.S., Electrical Engineering, Philosophy
January 1, 1990 – Present
Gartner
Research Leader
March 1, 2023 – Present
Gartner
Research Leader, Data & Analytics
April 1, 2018 – Present
Harvard Extension School
Instructor, Machine Learning
August 1, 2017 – December 1, 2017
Synaptiq AI
Head of Machine Learning and Data Strategy
March 1, 2017 – April 1, 2018
Washington DC-Baltimore Area
Datatiq
Data-Driven Products, Services, and Narratives
October 1, 2013 – March 1, 2017
Washington DC-Baltimore Area
The Hackett Group
Director, IT Strategy & Operations
June 1, 2011 – August 1, 2013
Washington DC-Baltimore Area
CAST Software
Director of Product Strategy and Research; Director, CAST Research Labs
February 1, 2009 – June 1, 2011
New York, NY
Corporate Executive Board
Practice Manager
May 1, 2003 – February 1, 2009
Arlington, VA
Q Industries
Senior Software Developer
January 1, 2000 – January 1, 2003
Washington DC-Baltimore Area
IDEV
Associate Producer
January 1, 1999 – January 1, 2000
Silver Spring, Maryland
Delima Associates
Senior Researcher
January 1, 1998 – January 1, 1999
McLean, Virginia
Cultural Fit Analysis
The candidate's diverse experience across consulting, product strategy, and academia, including roles at Gartner, Harvard, and various tech firms, suggests adaptability and a broad perspective. Their focus on data-driven solutions and business impact aligns well with a results-oriented culture. The Ph.D. and varied roles indicate intellectual curiosity and a continuous learning mindset, which are positive cultural indicators. However, the resume does not explicitly detail collaboration styles or specific team environments, making a full cultural fit assessment challenging without interview data.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, communication, and strategic thinking skills through roles like Research Leader, Head of Machine Learning, and Director. Their experience in client engagement, sales enablement, and cross-functional team coordination indicates excellent operational fit and ability to drive initiatives. The teaching experience further highlights their ability to simplify complex topics and mentor.