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Computer Science Manager Jobs in Virginia (NOW HIRING)

The Senior Computer Scientist utilizes expertise in designing, developing, and maintaining data ... managing data within hardware, software, storage, and bandwidth constraints. * Employ data science ...

Computer Scientist - Senior

Reston, VA · On-site

$135K - $216K/yr

The Senior Computer Scientist utilizes expertise in designing, developing, and maintaining data ... managing data within hardware, software, storage, and bandwidth constraints. * Employ data science ...

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Computer Science Manager information

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$9

$26

$53

How much do computer science manager jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for computer science manager in Virginia is $26.12, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $32.40 per hour, depending on experience, location, and employer.

What's the highest paying job in computer science?

In computer science, senior roles such as Chief Technology Officer (CTO), Principal Engineer, or Director of Engineering tend to have the highest salaries, often exceeding $200,000 annually. These positions require extensive experience, leadership skills, and expertise in areas like software architecture, cloud computing, or cybersecurity.

Does CS have a future?

A career as a Computer Science Manager has strong prospects due to ongoing technological advancements and increasing reliance on software solutions across industries. The role typically requires leadership skills, technical expertise, and familiarity with programming, systems architecture, and project management. As technology continues to evolve, demand for experienced managers in this field is expected to grow steadily.

What is the difference between Computer Science Manager vs Software Development Manager?

AspectComputer Science ManagerSoftware Development Manager
Required CredentialsBachelor's or Master's in Computer Science or related field; often certifications in project managementBachelor's or Master's in Computer Science, Software Engineering, or related field; project management certifications common
Work EnvironmentOversees technical teams, manages projects, and develops technical strategiesLeads software development teams, manages project timelines, and ensures product delivery
Employer & Industry UsageUsed across tech companies, research institutions, and IT departmentsCommon in software companies, tech startups, and enterprise IT divisions

The main difference is that a Computer Science Manager focuses on overseeing technical teams and research-driven projects, while a Software Development Manager concentrates on managing software projects and development processes. Both roles require strong technical backgrounds and leadership skills, but their focus areas differ slightly based on project scope and technical emphasis.

What does a computer manager do?

A computer science manager oversees technology teams, manages software development projects, and ensures the implementation of IT strategies. They coordinate between technical staff and business goals, often requiring leadership skills, technical knowledge, and project management tools like Agile or Scrum. Their responsibilities include planning, budgeting, and maintaining computer systems and infrastructure.

Is computer science dead due to AI?

As a Computer Science Manager, it is clear that computer science remains a vital field despite advances in AI. AI tools and algorithms are built on foundational computer science principles, and demand for software development, data analysis, and system design continues to grow. Professionals with skills in programming, machine learning, and systems architecture are essential for ongoing technological innovation.
What are the most commonly searched types of Computer Science jobs in Virginia? The most popular types of Computer Science jobs in Virginia are:
What cities in Virginia are hiring for Computer Science Manager jobs? Cities in Virginia with the most Computer Science Manager job openings:
COMPUTER SCIENTIST (ENTERPRISE ARCHITECT)

COMPUTER SCIENTIST (ENTERPRISE ARCHITECT)

U.S. Department of Defense (DOD)

Quantico, VA • On-site

$167K/yr

Other

Posted 15 days ago


U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 532 frontline employees who took The Breakroom Quiz

25th of 46 rated military and defense


Job description

DCSA Acquisition and Technology, National Background Investigation Services (NBIS) is seeking a Lead Software Architect to engineer enterprise-level software architectures supporting critical national security. The incumbent will drive the shift from waterfall to Agile/MVP releases, establish security controls, govern technical debt, & lead microservices initiatives using the Software Acquisition Pathway. Visit www.dcsa.mil to learn more about DCSA, America's Gatekeeper!Qualifications:This position has a Basic Requirement for the 1550: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.
The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Computer Science Series 1550 for OPM qualification standards, competencies and specialized experience needed to perform the duties of the position as described in the MAJOR DUTIES and QUALIFICATIONS sections of this announcement by 07/06/2026
Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position.
You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade (GG-14) in the Federal service and are prepared to take on greater responsibility.
Generally, this would include one year or more of such specialized experience.
Specialized experience for this position includes: Experience serving as an authoritative technical advisor and lead architect responsible for the strategic planning, engineering, and execution of complex enterprise software architectures; leading multidisciplinary development teams using Agile methodologies and the Software Acquisition Pathway (DODI 5000.87) to shift from traditional waterfall methods to iterative software releases, define Minimum Viable Products (MVPs), and implement microservices and Application Program Interface -first initiatives; experience establishing technical debt governance and security controls; aligning emerging technologies, such as Artificial Intelligence and data analytics, with organizational Responsible Artificial Intelligence (RAI) policies; and evaluating combined financial and technical programmatic requirements; ability to lead technical working groups, facilitate interagency governance, and deliver authoritative technical briefings to executive-level stakeholders-such as Chief Data and Analytics Office, Office of the Secretary of War, or equivalent senior leadership-to synchronize enterprise architecture strategies with critical national security objectives.
Specifically you will be evaluated on the following competencies:
  1. Information Technology Architecture: Knowledge of architectural methodologies used in the design and development of information systems, including the physical structure of a systems' internal operations and interactions with other systems.
  2. Requirements Analysis: Knowledge of the principles and methods to identify, analyze, specify, design, and manage functional and infrastructure requirements; includes translating functional requirements into technical requirements used for logical design or presenting alternative technologies or approaches.
  3. Software Engineering: Knowledge of software engineering design and development methodologies, paradigms, and tools; the software life cycle; software reusability; and software reliability metrics.
  4. Artificial Intelligence: Knowledge of the principles, methods, and tools used to design systems that perform human intelligence functions.
Education:Substitution of education may not be used in lieu of specialized experience for this grade level.Employment Type: OTHER

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