Global Network Deployment Lead

Amazon Web Services (AWS); Wink (TX); On-site; USD 108,000 - 189,000; Full time

Job summary

Amazon Data Services, Inc. in Wink, TX is seeking a Network Deployment Manager to lead a regional team responsible for installing and delivering network equipment and related infrastructure in data centers and colocation facilities.

The role emphasizes driving low-voltage cabling and ensuring on-time capacity deployment. The successful candidate will manage budgets, mentor staff, track metrics, and drive process improvements while adhering to AWS safety and operational standards.

Qualifications

• Bachelor's degree or equivalent.
• 5+ years of technical team management experience.
• 3+ years of data center engineering or operations experience.
• Travel up to 25% of the time.
• Demonstrated leadership and ability to mentor staff.

Responsibilities

• Prioritize and assign deployment tasks to field technicians.
• Coordinate team resources to deliver project tasks across teams.
• Manage inbound racks and hardware from receiving through milestones.
• Ensure quality of vendor-installed cabling in data centers.
• Apply project management, coaching, and internal documentation.
• Guide, train and educate staff on deployment processes and SLAs.
• Provide weekly and monthly reports supporting metrics and goals.
• Handle project escalations and host weekly staff meetings.
• Recruit and train field technicians and manage staffing levels.
• Recommend and document AWS policies and procedures.
• Partner cross-functionally to ensure safety standards.

Education

Bachelor's degree or equivalent

Job description

Amazon Data Services, Inc. in Wink, TX is seeking a Network Deployment Manager to lead a regional team responsible for installing and delivering network equipment and related infrastructure in data centers and colocation facilities.

The role emphasizes driving low-voltage cabling and ensuring on-time capacity deployment. The successful candidate will manage budgets, mentor staff, track metrics, and drive process improvements while adhering to AWS safety and operational standards.