Sr Manager, Data Science & AI, R2L

Amazon Science; Bellevue (WA); On-site; USD 208,300 - 281,800; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Paid Time Off (PTO)

401(k) Plan

RSUs and stock options

Job summary

Amazon Science in Bellevue, WA, seeks a Senior Manager, Data Science to lead a high-performing team of Data Scientists and BI Engineers. You will own the AI roadmap for R2L, delivering data-driven solutions across supply chain, operations, delivery, and finance to drive measurable efficiency and customer experience improvements.

You will hire and develop talent, partner with senior leaders, and drive investments aligned with business priorities to deliver outsized impact at scale.

Qualifications

• 11+ years of data science and BI with measurable business impact.
• Experience with statistical modeling and machine learning.
• Experience deploying AI products at scale and leading analytics teams.
• Bachelor’s degree or higher in a quantitative field such as statistics, math, data science or CS.

Responsibilities

• Build and lead a team of Data Scientists and BI Engineers.
• Define multi-year Science & AI roadmap for R2L with measurable impact.
• Define and execute GenAI strategy across workflows.
• Influence senior leaders with data-driven narratives and deep dives.
• Advocate for high-quality measurement in decision making.
• Raise technical bar through mentorship and best practices.
• Stay current with latest data science and AI tools and methods.

Skills

Data science

Business intelligence

Statistical modeling

Machine learning

Education

Bachelor's degree or above in quantitative field

Masters degree in Data Science or related field

Job description

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.

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!

If you’re passionate about this role and want to make an impact on a global scale,

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

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