Senior Manager, Data Science, Generative AI Innovation Center

Amazon • Arlington, VA

4d • $208,300 - $324,100

About The Position

The Generative AI Innovation Center (GenAIIC) at AWS helps AWS customers accelerate the use of generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers and partners to build bespoke solutions that harness the power of generative AI. The team is looking for an experienced and talented Principal Data Science Manager who brings a strong blend of experience in machine learning, generative and agentic AI, effective organizational and interpersonal skills, and experience building scalable AI/ML solutions using cloud computing. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of GenAIIC with our customers. You will be able to drive discussions with senior technical and business leaders within customers and partners. You will possess technical background that enables you to interact with and give guidance to data/research/applied scientists and software engineers on the team. The ideal candidate will also have demonstrated ability to roll up their sleeves to build agentic AI solutions, think strategically about business, product, and technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent.

Requirements

• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• 5+ years of people management experience
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
• 10+ years as a scientist or science manager

Nice To Haves

• PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
• Experience programming in Java, C++, Python or related language
• 5+ years of hands-on work in big data, machine learning and natural language processing
• Experience with AWS technologies for machine learning like SageMaker, Bedrock, S3, and EC2

Responsibilities

• Collaborate with ML scientists, engineers and architects to research, design, and develop Generative and Agentic AI solutions to address real-world challenges
• Interact with customers to understand business problems, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
• People management responsibilities, to include leading teams driving incubation efforts in areas such as Responsible AI, Physical AI and Agentic AI
• Create and deliver best practice recommendations, blog posts, and presentations adapted to technical, business, and executive stakeholders
• Provide customer and market feedback to Product and Engineering teams to help define product direction

Benefits

• Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $208,300/year in our lowest geographic market up to $324,100/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 .

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees