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Director, Stores Ads Monetization, Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced leader with a demonstrated history of combining econometrics, operations research and machine learning with business acumen to deliver large scale revenue management systems.
University of California, Berkeley
M.S., Transportation Engineering, Civil Engineering Department
January 1, 2009 – January 1, 2010
University of California, Berkeley, Haas School of Business
MOT Certificate, Business
January 1, 2009 – January 1, 2010
ENAC - Ecole Nationale de l'Aviation Civile
M.S., Aeronautical Engineering
January 1, 2006 – January 1, 2009
Amazon
Director, Stores Ads Monetization
July 1, 2024 – Present
Greater Seattle Area
Amazon
Director, Applied Science, Automated Profitability Management
January 1, 2022 – July 1, 2024
Greater Seattle Area
Amazon
Director, Research Science, Seller Fees - Amazon Marketplace
October 1, 2020 – January 1, 2022
Greater Seattle Area
Amazon
Senior Manager, Research Science, Seller Fees - Amazon Marketplace
September 1, 2016 – October 1, 2020
Greater Seattle Area
American Airlines
Manager Operations Research, Revenue Management
August 1, 2014 – September 1, 2016
Dallas/Fort Worth Area
US Airways
Sr Analyst Operations Research - Revenue Management
January 1, 2013 – August 1, 2014
Tempe, AZ
US Airways
Sr Analyst Revenue Analysis - Revenue Management
July 1, 2011 – December 1, 2012
Tempe, AZ
UC Berkeley
Graduate Researcher at NEXTOR
January 1, 2009 – December 1, 2010
Berkeley, CA
Cultural Fit Analysis
The candidate has a strong background in large, data-driven organizations (Amazon, American Airlines) and has consistently held roles that involve applying advanced analytical techniques to business problems. Their experience spans various domains within Amazon (ads monetization, profitability, seller fees) and the airline industry (revenue management), indicating adaptability and a broad interest in complex systems. The target role of 'Data Analyst' might be a step down from their recent Director-level Applied Science/Research Science roles, which could impact cultural fit if the role does not offer sufficient scope for strategic impact and leadership. However, their diverse project experience and leadership in data science suggest a strong analytical culture alignment.
Soft Skills & Operational Fit
The candidate's extensive leadership roles at Amazon and prior experience in Operations Research suggest strong analytical, problem-solving, and strategic thinking skills. Their descriptions indicate an ability to manage complex projects, lead diverse teams, and drive business outcomes through scientific methods. The focus on optimizing customer experience and advertising revenues, as well as profitability management, aligns with a results-oriented operational fit. However, specific details on collaboration style or stress handling are not available from the provided data.