Sr Manager, Data Science & AI, R2L

DESCRIPTION

The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes! The R2L Science & AI team is the centralized data science and AI function serving all R2L business verticals. We drive data informed decision making and build AI-powered products that optimize every stage of R2L's operational pipeline from supply chain planning through last-mile delivery.

We are looking for a customer-focused, solutions-oriented Senior Manager, Data Science to lead and scale the data science function within the R2L organization. In this role, you will build and manage a high-performing team of Data Scientists and BI Engineers while owning the AI technical roadmap for R2L. You will be responsible for delivering data science and AI solutions that drive measurable operational improvements across R2L's end-to-end network including Supply Chain, Operations, Delivery, Operational Excellence, and Finance.

This is a people leadership role with deep technical expectations. You will set the technical vision, hire and develop talent, and partner with senior leaders across R2L and external stakeholders to ensure data science and AI investments are aligned with business priorities and deliver outsized impact.

Key job responsibilities

Build and manage a team of Data Scientists and BI Engineers

Define and drive the multi-year vision for Science and AI roadmap for R2L, aligning investments with business priorities to deliver measurable efficiency and customer experience improvements

Define and execute the Gen AI strategy for R2L, identifying high-impact use cases for LLMs, agentic AI, and automation across operational workflows

Influence VP and Director-level leaders through data-driven narratives, technical deep dives, and business impact framing

Educate senior leaders about and advocate for high-quality measurement as an input to data-driven decisions

Raise the technical bar across the organization through mentorship, artifact reviews, and establishing best practices for experimentation, model development, and deployment

Stay up-to-date on the latest data science, measurability, AI tools, techniques, and best practices and help evangelize them across the organization

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS

11+ years of quantitative and qualitative data science/business intelligence with significant business impact experience

Experience with statistical modeling / machine learning

Experience developing, deploying and managing AI products at scale

Experience managing analytics, data science or technology teams, with a product or insight focus

Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

PREFERRED QUALIFICATIONS

Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

Masters Degree in Data Science or related field

Experience with generative AI, large language models, and agentic AI systems

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 208,300.00 - 281,800.00 USD annually