Sr Manager, Economist - AMZ9443381

Amazon•Culver City, CA

16d

About The Position

Lead multiple teams of data scientists, economists, and technical professionals to deliver strategically significant economic models and analytical architectures. Establish optimal team structures to meet long-term customer, business, and technological needs. Evaluate and advocate for large-scale scientific initiatives spanning multiple years while prioritizing resolution of systemic problems. Collaborate with executive stakeholders up to S-team level. Drive innovation in scientific methodologies while ensuring data quality, validity, and operational excellence. Identify strategic opportunities for new scientific teams and specializations. Implement closed-loop mechanisms to monitor project health and ensure on-time delivery. Responsible for talent development, creating a positive culture, and conducting talent reviews.

Requirements

PhD degree or foreign equivalent degree in Economics, Computer Science, or related field and five years of research or work experience in the job offered or related occupation.
Must have one year of research or work experience in the following skill(s): (1) human capital management, including interviewing, hiring, performance management, coaching, promotions, and terminations, as well as providing technical, non-technical, and administrative support; (2) leading multi-disciplinary technical teams and managers in data science roles to deliver scientific projects; (3) advanced knowledge of economic modeling, statistical methods, and data science frameworks; (4) communicating complex economic insights across technical and non-technical audiences, including executive level stakeholders; and (5) using advanced large-scale data systems and technical architecture planning to inform business decisions.

Nice To Haves

Please see job description and the position requirements above.

Responsibilities

Lead multiple teams of data scientists, economists, and technical professionals to deliver strategically significant economic models and analytical architectures.
Establish optimal team structures to meet long-term customer, business, and technological needs.
Evaluate and advocate for large-scale scientific initiatives spanning multiple years while prioritizing resolution of systemic problems.
Collaborate with executive stakeholders up to S-team level.
Drive innovation in scientific methodologies while ensuring data quality, validity, and operational excellence.
Identify strategic opportunities for new scientific teams and specializations.
Implement closed-loop mechanisms to monitor project health and ensure on-time delivery.
Responsible for talent development, creating a positive culture, and conducting talent reviews.