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Director, Qualitative Research and Survey Science , PXT Central Science (PXTCS)

Amazon.com Inc
  • San Francisco, CA
    6 days ago

    Job Description

    PXT Central Science (PXTCS) builds the analytical foundations that shape how Amazon attracts, develops, and retains talent at a scale no other company operates. Our models and research directly influence decisions affecting over a million employees worldwide, from compensation and attrition strategy to employee engagement and workforce planning

    The Director of Qualitative Research and Survey Science owns the qualitative user research practice for People eXperience and Technology Central Science (PXTCS) and leads the science behind Amazon"s state-of-the-art employee surveys, setting the standard for how Amazon measures what its employees are experiencing. The questions that matter most in this role are the ones numbers alone cannot settle, and that often run ahead of demand - identifying the challenges leaders will face before they ask, and building the methods to address them. How is the culture changing as the company evolves? What are employees experiencing that no metric on a dashboard captures? Where are employee concerns emerging that have not yet shown up in any data? These factors drive business outcomes, resist clean quantification, and require creative, mixed-methods approaches to address.

    Doing this well starts with knowing what Amazon"s leaders are contending with. You will be a voice in senior leader forums, learning firsthand which people problems are hardest and judging which of them research can move. From there, you will design the approach, working in close partnership with the quantitative research leaders in PXTCS, so that qualitative work, survey measurement, and quantitative analysis combine into one answer rather than three separate ones. You will deliver findings directly to senior leadership, on the timeline the decision requires, framed as actions those leaders can take. You will be a strategic advisor to PXT leaders on what aspects of the employee experience Amazon can and should measure, how much.

    Key job responsibilities

    • Identify the workforce challenges senior leaders have not yet named, and partner with quantitative science leaders to build a mixed-methods research agenda that addresses them.
    • Develop and apply creative, technically rigorous qualitative and survey approaches that measure changes in the workforce that are not captured by quantitative data.
    • Represent this work in senior leader forums, translating findings into decisions leaders can act on.
    • Maintain and raise the bar on the science behind Amazon"s employee survey program, coordinating with senior leaders across Amazon so survey content delivers actionable insights for their businesses.
    • Provide guidance on qualitative and survey methods to teams across PXT, so employee research across Amazon meets a consistent standard.
    • Run the practice as an operation - set the intake and prioritization mechanisms and manage a stakeholder portfolio across PXT, so the team"s capacity goes to the questions that matter most.
    • Lead through managers, building and developing a team of qualitative researchers and survey scientists.

    About the team

    PXT Central Science is Amazon"s people-science R&D organization. We develop causal inference methods, predictive models, and decision-support tools that operate at the intersection of economics, machine learning, and organizational science. Our work spans employee experience, workforce planning, compensation, talent acquisition, and employee relations - always grounded in rigorous methodology and always aimed at real-world impact.

    Numbers & Facts

    LocationSan Francisco, CA
    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

    Skills

    • Analysis Skillsunmatched
    • Content Delivery/Distributionunmatched
    • Customer/Client Researchunmatched
    • Data Collectionunmatched
    • Decision Supportunmatched
    • Economicsunmatched
    • Employee Relationsunmatched
    • Employee Retentionunmatched
    • Establish Prioritiesunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Metricsunmatched
    • People Managementunmatched
    • Predictive Modelingunmatched
    • Project/Program Coordinationunmatched
    • Qualitative Researchunmatched
    • Quantitative Analysisunmatched
    • Quantitative Researchunmatched
    • Reporting Dashboardsunmatched
    • Research & Development (R&D)unmatched
    • Scientific Researchunmatched
    • Talent Managementunmatched
    • Workforce Planningunmatched

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