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Sr Manager, Data Science & AI, R2L

Amazon.com Inc

  • Bellevue, WA
  • 15 days ago
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    Skills

    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Best Practicesunmatched
    • Business Intelligenceunmatched
    • Customer Experienceunmatched
    • Customer Relationsunmatched
    • Data Entryunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Financeunmatched
    • Leadershipunmatched
    • Mentoringunmatched
    • Operational Improvementunmatched
    • Operational Measurementunmatched
    • Process Improvementunmatched
    • Quality Metricsunmatched
    • Supply Chainunmatched
    • Supply Chain Managementunmatched
    • Supply Chain Operationsunmatched
    • Talent Managementunmatched
    • Team Lead/Managerunmatched
    • Use Casesunmatched

    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!

    Numbers & Facts

    LocationBellevue, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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