We are looking for a talented, organized, and customer-focused leader to add to our science & data program management function, partnering effectively with both our scientists, engineers, and multiple cross-functional stakeholder & dependency teams within Pricing, Promotions, and across Amazon.
This role requires an individual with excellent team leadership skills, outstanding business acumen, and an entrepreneurial spirit. We are looking for an experienced leader who is a self-starter comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.
Key job responsibilities
- Plot The Course. Coordinate across Science, Engineering, Product, Business, Legal, and Finance to capture and translate requirements into an actionable science delivery roadmap.
- Mitigate Risks. Manage cross-functional and cross-org dependencies risks, and make appropriate trade-offs weighing value vs time to market
- Be The Pulse. Own regular communication mechanisms to keep senior leadership & stakeholders informed of program progress, risks, timelines, and high judgement decisions.
- Deliver Results. Lead effective and efficient delivery of large, complex science programs
About the team
The Pricing & Promotions Science organization leverages planet scale multi-modal data on billions of Amazon and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short & long term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free
BASIC QUALIFICATIONS
- 7+ years of technical product or program management experience
- 10+ years of hands-on work managing complex technology projects experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience owning/driving roadmap strategy and definition
- 5+ years technical hands-on experience in data engineering, business intelligence, data science, machine learning, and/or causal modeling techniques
PREFERRED QUALIFICATIONS
- Prior experience managing analytics, data engineering, data science, machine learning, research, or applied science teams
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $159,300/year in our lowest geographic market up to $275,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.