Job Description
Central Operations within Global Data Center Operations (GDCO) is hiring a Technical Program Manager II to drive the technical programs behind labor planning across Amazon"s data centers. GDCO"s workforce is scaling rapidly, and labor planning is building the centralized, scalable systems to scale with it. You will orchestrate delivery across software, data, and business intelligence engineering teams, turning labor planning needs into solutions that reach planners and operators network-wide.
You will own a technical program end to end, aligning engineering, data, and science partners around shared requirements, roadmaps, and delivery. Your strength is the intersection of deep technical fluency and program leadership: you speak the language of the engineers you work with, dive into data models, pipelines, and design trade-offs, and keep the program moving by driving timely decisions and clearing blockers. You orchestrate more than you build, and when a gap needs closing to keep delivery on track, you are hands-on enough to build the solution yourself.
You bring data center operations domain knowledge and a technical foundation strong enough to earn the trust of the teams you orchestrate. You are measured by what ships, what gets adopted, and how effectively you bring independent teams into a single, coherent plan.
Key job responsibilities
- Own a labor planning technical program end to end, from requirements through delivery and adoption, driving independent teams toward shared goals and timelines.
- Partner with software, data, and business intelligence engineering teams to design and deliver centralized, scalable solutions, managing roadmaps, dependencies, testing, and releases.
- Translate the needs of planners, operators, and leaders into clear technical requirements and specifications.
- Dive deep into data models, pipelines, and design approaches; spot risks, ask the right technical questions, and ensure the right trade-offs are made.
- Build solutions hands-on where needed to unblock delivery, from data pipelines and integrations to automation of manual processes.
- Establish data quality expectations, SLAs, and the mechanisms that keep labor data reliable as volume grows.
- Drive crisp, timely decisions, clear blockers, and escalate effectively to keep delivery on schedule.
- Align cross-team priorities and build the shared mechanisms that bring multiple functions into one coherent plan.
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://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
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
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