below marketmost similar roles pay hereabove market
This role pays less than
76%
of similar roles. Most pay
$153,375–$219,625
— the blue band above.
At the midpoint, this role pays about
$151k
versus about
$186k
for comparable roles.
Based on 240 similar postings.
Employer
About General Dynamics
General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.
General Dynamics currently has
1351 open roles
on FindRole.
Listed pay typically runs
$124,093–$150,385
across 1176 roles with salary data.
The Service Delivery Manager joins the Infrastructure Services Contract team to provide management and technical direction for over 140 technical resources supporting more than 20 different data center technology stacks. This role involves overseeing all engineering resources and projects, managing relationships with key business customers, and delivering software solutions that meet specific business needs. Key responsibilities include directing program phases from inception to completion, managing costs and schedules, and providing mentorship to team members. The position requires expertise in Enterprise IT, Planning, and Services Management, specifically utilizing ITIL v4 standards. Candidates must demonstrate experience with IBM mainframe z/OS, Windows, VMware, UNIX, Solaris, and Red Hat Linux. The work involves managing complex data center environments, including server consolidation, virtualization, storage migrations, and 7x24 major incident management for national services.
Data Center Operations
Infrastructure Management
IBM Z10
z/OS
Mainframe
Windows
UNIX
Red Hat Linux
Solaris
VMware
Virtualization
Disaster Recovery
Business Continuity
ITIL
Systems Engineering
Batch Job Scheduling
Python
GenAI
LLM
RAG
Vector Databases
Azure AI
Microsoft 365
SharePoint
Graph API
Automation Pipelines
cloud‑native deployment
Data Science
User Acceptance Testing
AI Evaluation Techniques