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Technical Program Manager (Labor Prioritization), Global Operations Support Engineering

AMAZON-HQ2 Herndon, Virginia, United States onsite
FULL_TIME Active
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Job Details

Company
amazon hq2
Location
Herndon, Virginia, United States
Work Type
onsite
Job Type
FULL_TIME
Posted
February 16, 2026

Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The AWS Global Operations Support Engineering (GOSE) team is seeking a Technical Program Manager (TPM) to act as a strategic link between business operations, finance and technology teams in relation to Data Center Engineering Operations (DCEO) labor prioritization, resource allocation, modeling, forecasting and productivity. The role requires a results-oriented data-driven mindset. The ideal candidate has experience with creating software development business requirements and financial modeling to support cross-functional collaboration. Key job responsibilities - Analyze existing labor data, models, intake, and prioritization processes to identify inefficiencies, bottlenecks, and improvement opportunities. - Develop and maintain strategic roadmaps and process documentation (as-is and to-be states). - Take full ownership of projects and deliverables with minimal supervision - Communicate insights and progress clearly with different levels of stakeholders and leadership in various formats both written and verbal. - Act as leader within the program space as you facilitate the alignment and deliverables between external tech teams, Finance, and Operations leadership. - Maintain dynamic labor forecasting models that account for headcount constraints while identifying opportunities for efficiency gains. Develop scenarios for resource reallocation between sites and third-party vendor utilization. - Design and implement streamlined work intake processes. Create approval workflows that scale appropriately with work scope and impact. - Establish metrics and tracking systems for productivity improvements. Quantify labor hour savings to demonstrate capacity creation for new initiatives. About the team The Global Operations Support Engineering (GOSE) team is focused on maximizing AWS data center infrastructure availability and operational excellence. We achieve this by optimizing labor utilization, deep diving event and incident analysis, developing data engineering and business intelligence solutions, deploying business automation, and managing global operational improvement initiatives. We transform critical infrastructure data into actionable intelligence that enables the Data Center Community (DCC) organization to prevent customer impact, reduce operational burden, focus on highest-impact activities, and continuously improve fleet-wide reliability and productivity. Through our comprehensive monitoring, analysis, reporting, and program/project management, we serve as the analytical backbone that drives continuous improvement in operational excellence across the global data center portfolio. Basic Qualifications: - 3+ years of technical product or program management experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules Preferred Qualifications: - 3+ years of working directly with engineering teams experience Amazon is an equal opportunity employer and does not discriminate on the basis
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