Amazon.com Inc logo

Technical Program Manager, Land Development, AWS Data Center Real Estate

Amazon.com Inc

  • Austin, TX
  • 30+ days ago

    Highlights

    You will also work closely with a dedicated AI engineer on the team to explore how automation, machine learning, and data tools can improve program reporting, streamline workflows, and surface insights across the portfolio in ways that manual processes cannot. You should be familiar with the language and workflow of land development, things like due diligence, geotech investigations, municipal entitlements, civil engineering design, utility coordination, and site construction.

    Numbers & Facts

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

    Description

    Amazon Web Services (AWS) has a growing Land Development division within its Data Center Real Estate organization that has spent the past year establishing its foundation. We are now looking for a Technical Program Manager to help take this team to the next level by strengthening the operational backbone of the program. This role does not manage land development projects directly. Instead, you will support the land development program by maturing the mechanisms, reporting structures, and operational cadences that allow the team to deliver at scale.

    The Land Development team is responsible for taking raw land from acquisition through entitlement and pad ready turnover for AWS data center campuses. To support this team effectively, you need to understand what they do. You should be familiar with the language and workflow of land development, things like due diligence, geotech investigations, municipal entitlements, civil engineering design, utility coordination, and site construction. You do not need to be the person negotiating entitlement agreements or reviewing a grading plan, but you do need to understand why those activities matter, how long they take, where they sit in a project timeline, and what risks they carry.

    Your job is to help this division mature into a high performing program. That means refining Monthly Business Reviews, sharpening performance metrics, improving standardized reporting, identifying bottlenecks across the portfolio, and making sure leadership has clear visibility into how the program is performing. The team has the early structures in place and now needs someone who can build on that foundation, fill the gaps, and create the kind of operational rigor that supports continued growth. You will also work closely with a dedicated AI engineer on the team to explore how automation, machine learning, and data tools can improve program reporting, streamline workflows, and surface insights across the portfolio in ways that manual processes cannot.

    Key job responsibilities

    • Strengthen and mature the operational cadence for the Land Development division, including Monthly Business Reviews, weekly program syncs, and leadership reporting.
    • Refine and track key performance metrics across the land development portfolio, such as schedule adherence, budget variance, permitting cycle times, and milestone completion rates.
    • Build and improve program dashboards that give leadership clear visibility into portfolio health, risks, and resource needs.
    • Improve standardized templates for project status reporting, risk tracking, and decision escalation.
    • Identify patterns and systemic issues across the portfolio and surface them to leadership with recommendations.
    • Partner with the team"s AI engineer to develop automated reporting, predictive analytics, and data driven tools that enhance program visibility and reduce manual overhead.

    A day in the life

    • Maintain a consolidated view of all active land development projects across regions, tracking status against key milestones.
    • Develop reporting that connects individual project performance to overall program goals and business targets.
    • Track dependencies between land development activities and downstream data center design and construction timelines.
    • Ensure data quality and consistency across project reporting so that leadership reviews are based on reliable information.

    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

    Similar Jobs

    See more jobs