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Sr. Manager, Applied Science @ Amazon | Leading Generative AI Innovation
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI and Applied Science leader with 10+ years at Amazon and 4+ years as an L7 Senior Manager, specializing in generative AI, multimodal foundation models, computer vision, image/video generation, image editing, NLP, and conversational AI. Proven record of building high-performing science teams, translating research into production products, influencing executive AI strategy, and developing senior technical talent across Amazon AGI and Alexa.
Dartmouth College
Doctor of Philosophy (PhD), Engineering, speciality in Machine Learning
January 1, 2012 – January 1, 2014
University of Southern California
Bachelor, Electrical Engineering
January 1, 2006 – January 1, 2009
Amazon
Sr. Manager (L7), Applied Science
March 1, 2022 – Present
Amazon
Applied Science Manager III
June 1, 2019 – February 1, 2022
Amazon
Sr. Applied Scientist
June 1, 2018 – May 1, 2019
Amazon
Machine Learning Scientist II
February 1, 2016 – May 1, 2018
The Data Incubator
Fellow
March 1, 2015 – May 1, 2015
NYC/Online
Dartmouth College
Postdoctoral Research Associate
December 1, 2014 – December 1, 2015
Hanover,NH
Dartmouth College
Research Assistant
January 1, 2012 – November 1, 2014
Hanover,NH
Program graduate
The Data Incubator
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience at Amazon, a large tech company, suggests a fit for structured, fast-paced environments. Their academic background and research roles indicate a strong inclination towards innovation and problem-solving. However, the target role is 'Data Analyst,' which is a significant shift from their senior Applied Science and management roles. While they possess strong analytical skills, the direct alignment with a pure Data Analyst role, which often focuses more on business intelligence, reporting, and less on advanced model development and research, is not immediately clear. Their project diversity is limited to Amazon and academic research, which is deep but not broad across different industries or types of data analysis.
Soft Skills & Operational Fit
The candidate's career progression at Amazon from Machine Learning Scientist to Sr. Manager (L7), Applied Science, indicates strong leadership, project management, and team collaboration skills. Their role in leading science teams for Amazon Nova Canvas and Reel suggests an ability to work cross-functionally and deliver impactful, production-ready models. The description of their research at Dartmouth College also highlights collaboration in multi-disciplinary teams.