Sr Manager, Data Science & AI, R2L (Fulfillment & Operations)

Amazon; Bellevue (WA); On-site; USD 208,000 - 282,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Job summary

Amazon is seeking a Senior Manager, Data Science to lead and scale the data science function within the R2L organization in Bellevue, WA. 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 drive data-driven decisions, shape the Gen AI strategy, mentor leaders, and partner with senior stakeholders to ensure investments align with business priorities and deliver measurable impact across the end-to-end supply

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.

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.

Skills

Data science leadership

AI strategy

Stakeholder communication

ML / statistics

Education

Bachelor's degree or higher in a quantitative field

Master's degree in Data Science or related field

Tools

LLMs

Job description

Job ID: 10483501 | Amazon.com Services LLC

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

At Amazon, we value people with unique backgrounds, experiences, and skillsets.

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