Manager Information Technology 3

Northrop Grumman

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Linthicum, MD
Salary
$167,500–$251,300 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $209k
$134k $264k
below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $148,887–$219,666 — the blue band above. At the midpoint, this role pays about $209k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Northrop Grumman

Northrop Grumman is a leading global aerospace and defense technology company providing systems in autonomous systems, cyber, C4ISR, space, strike, and logistics. Industry: Aerospace & Defense

Northrop Grumman currently has 629 open roles on FindRole.

Listed pay typically runs $117,500–$176,300 across 314 roles with salary data.

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View all roles at Northrop Grumman

At a glance

TL;DR · Manager Information Technology 3

The Manager Information Technology 3 leads the Mission Systems CIDO Operations Digital Solutions organization, reporting to the CIDO Engineering and Operations Director. This role serves as the operations leader for Manufacturing, Global Supply Chain, and Quality & Mission Assurance. Key responsibilities include shaping multi-year roadmaps, managing investments, and delivering factory-of-the-future capabilities across twenty sites. The manager will lead a team of forty people to implement robotics, automation, digital twins, and IoT technologies. The position requires architecting data integration architectures and leading AI and agentic capabilities for manufacturing defect analysis and quality processes. Core competencies include IT/OT convergence, managing software vendor relationships, and ensuring data products align with the VAULTIS framework. The role solves complex business problems by integrating digital threads with pillar systems like PLM, ERP, and MES.

What you'll do

  • Lead a team of 40 people and manage a matrixed network of IT, OT, and AI resources across the enterprise.
  • Own digital manufacturing and IT/OT architecture decisions for Mission Systems Operations while ensuring alignment with enterprise standards.
  • Develop multi-year roadmaps and deliver "factory of the future" capabilities including robotics, automation, IoT, and digital twins.
  • Architect and manage data integration architectures to create standardized products that support data-driven decision making.
  • Lead the strategy and implementation for AI and agentic capabilities across manufacturing processes and infrastructure.
  • Manage tool vendor relationships and optimize software license portfolios to maximize affordability and standardization.
  • Oversee technical support for standardized tools across unclassified, classified, and off-network environments.
  • Translate complex technical options from experts into prioritized execution roadmaps that align with business objectives.

What we're looking for

  • Must possess a Bachelor's degree with at least 10 years of relevant experience or a Master's degree with at least 8 years of relevant experience.
  • Must have an active U.S. Government Secret level security clearance with a recent investigation or enrollment in the DoD Continuous Evaluation Program.
  • Must be able to obtain and maintain a Special Access Program (SAP/SAR) clearance as a condition of employment.
  • U.S. Citizenship is required for positions requiring government clearance.
  • Demonstrated ability to provide strategic direction for services, processes, applications, and technology in complex, multi-site environments.
  • Proven experience managing portfolios, projects, budgets, and schedules with accountability for delivery performance.
  • Proven leadership and communication skills to lead through influence across matrixed teams and engage stakeholders from the shop floor to senior leadership.
  • Experience in manufacturing operations, IT/OT convergence, digital twin technologies, and AI/ML solutions is preferred.

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