Data Center Cabling Strategy Program Manager

Amazon Web Services (AWS); Seattle (WA); On-site; USD 83,000 - 130,000; Full time

Job summary

Amazon Data Services, Inc. in Seattle seeks a Program Manager to drive planning, coordination, and execution of data center cabling strategy across global infrastructure. You will influence optimization through data-driven planning and disciplined execution, partnering with networking, decommissioning, and project delivery teams.

The role demands strong communication, ambiguity tolerance, and leadership to keep AWS cabling footprint efficient, reliable, and cost-effective at scale.

Qualifications

• 3+ years of program or project management experience.
• 3+ years of defining and implementing process improvement initiatives using data and metrics.
• Advanced Excel (Pivot Tables, VLookups) and SQL experience.

Responsibilities

• Lead executive-level reporting on program health and provide root-cause analyses.
• Pioneer scalable, data-driven process improvements and automated solutions.
• Manage competing priorities across multiple programs, balancing dependencies and critical paths.
• Build mechanisms to monitor health of cable strategy and implementation plans for key projects.
• Unite cross-functional teams across time zones around a shared execution vision.

Skills

Program management

Data-driven improvements

Cross-functional collaboration

Stakeholder management

Education

Bachelor's degree in BI/finance/engineering or related field

Master's degree in business/data science or related field

Tools

Excel

SQL

Job description

Amazon Data Services, Inc. in Seattle seeks a Program Manager to drive planning, coordination, and execution of data center cabling strategy across global infrastructure. You will influence optimization through data-driven planning and disciplined execution, partnering with networking, decommissioning, and project delivery teams.

The role demands strong communication, ambiguity tolerance, and leadership to keep AWS cabling footprint efficient, reliable, and cost-effective at scale.