Amazon Data Services, Inc.

Real Estate

TechnicalProgramManager,LandDevelopment

$155–210k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Technical Program Manager, Land Development at Amazon Data Services, Inc.. Skills: Operational backbone, Program maturation, Performance metrics, Automated reporting. Strengthen operational cadence. Mature operational cadence”

What You'll Achieve.

Deliver at scale; Mature into high performing program; Improve program visibility; Reduce manual overhead

Industry & Context.

Real Estate
Problems you'll solve

Identify bottlenecks; Identify systemic issues; Root cause analysis

What They're Looking For.

Must Have

Bachelor's degree or equivalent, Experience building measures and metrics, Developing reporting solutions experience, Program management experience, Developing tools, reports, process maps, Data and analysis tools experience, Microsoft Excel and SQL experience, 3+ years real estate development experience, 7+ years program management experience

Nice to Have

Master's degree or above, PMP or PMP certificate, 5+ years data center experience, 5+ years mission critical facilities experience, Experience in technical support work, Experience in engineering, Experience in operations environment, Experience with Cloud platforms, Experience with database systems, Experience with AI tools, Contributing to open-source projects, Version control systems experience, 5+ years program management work, Leading other project managers experience

What You'll Do.

Strengthen operational cadence

Mature operational cadence

Refine performance metrics

Track performance metrics

Build program dashboards

Improve standardized templates

Identify systemic issues

Surface issues to leadership

Develop automated reporting

Develop predictive analytics

Develop data driven tools

Maintain consolidated view

Track status against milestones

Ensure data consistency

How You'll Work.

Team & Collaboration

Partner with AI engineer; Work with leadership

Communication Scope

Leadership reporting; Executive presentations

Process & Methodology

Program management, Project delivery

Full Job 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

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