Global Data Center Cabling Program Lead

Amazon

Herndon (VA)

On-site

USD 74,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Health insurance (medical, dental, and
Vision benefits
401(k) matching
Parental leave

Job summary

Amazon is seeking a Program Manager to plan, coordinate, and execute a data center cabling strategy for AWS infrastructure. You will drive cross-functional collaboration, build scalable processes, and deliver executive-level insights to optimize cabling across global data centers.

The role focuses on data-driven planning, disciplined execution, and surface of critical decisions to leadership, with a direct impact on reliability and cost efficiency.

Qualifications

  • 3+ years of program or project management experience.
  • 3+ years of defining and implementing process improvements using data and metrics.
  • Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL.
  • Experience working cross-functionally with tech and non-tech teams.
  • Experience in stakeholder management with multiple levels of the organization.
  • Bachelor's degree in BI, finance, engineering, statistics, CS, or equivalent field.

Responsibilities

  • Lead executive-level reporting on program health with root-cause analysis.
  • Develop scalable, data-driven process improvements and automation.
  • Manage competing priorities across programs and dependencies to deliver plans.
  • Build mechanisms monitoring health of cable strategy and implementation.
  • Unite cross-functional teams across time zones around a shared vision.

Skills

Program management
Process improvement
Advanced Excel

Education

Bachelor's degree in BI/engineering/compsci or equivalent

Tools

SQL

Job description

Amazon is seeking a Program Manager to plan, coordinate, and execute a data center cabling strategy for AWS infrastructure. You will drive cross-functional collaboration, build scalable processes, and deliver executive-level insights to optimize cabling across global data centers.

The role focuses on data-driven planning, disciplined execution, and surface of critical decisions to leadership, with a direct impact on reliability and cost efficiency.

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