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Data Intelligence Manager Jobs in Virginia (NOW HIRING)

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Data Intelligence Manager information

What are the key skills and qualifications needed to thrive as a Data Intelligence Manager?

To thrive as a Data Intelligence Manager, you need expertise in data analytics, business intelligence, and data management, typically supported by a degree in computer science, statistics, or a related field. Familiarity with BI tools like Tableau or Power BI, data warehousing solutions, and certifications such as Certified Analytics Professional (CAP) are highly beneficial. Strong leadership, strategic thinking, and communication skills are essential for effectively guiding teams and translating complex data insights into actionable strategies. These skills ensure the effective transformation of raw data into valuable business insights, driving informed decision-making and organizational growth.

How does a Data Intelligence Manager typically collaborate with cross-functional teams within an organization?

A Data Intelligence Manager often works closely with teams such as IT, business operations, marketing, and product development to ensure that data-driven insights align with organizational goals. This role requires facilitating clear communication between data analysts, engineers, and non-technical stakeholders to translate complex data findings into actionable strategies. Regular meetings, project updates, and cross-department workshops are common, fostering a collaborative environment where data initiatives support business objectives. Building strong relationships across teams is essential for driving successful data intelligence projects.

What is the difference between Data Intelligence Manager vs Data Analyst?

AspectData Intelligence ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools are common
Work EnvironmentLeads teams, manages data strategies, collaborates with stakeholdersAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for strategic data rolesCommon across various industries for operational data analysis

The Data Intelligence Manager focuses on leading data strategies and managing teams, while the Data Analyst primarily analyzes data to support business decisions. Both roles require strong analytical skills and familiarity with data tools, but differ in scope and responsibilities.

What does a data intelligence manager do?

A data intelligence manager oversees the collection, analysis, and interpretation of data to support business decision-making. They develop data strategies, manage data teams, and use tools like SQL, data visualization software, and analytics platforms to turn data into actionable insights.

What cities in Virginia are hiring for Data Intelligence Manager jobs?

Cities in Virginia with the most Data Intelligence Manager job openings:

Senior Infrastructure Engineer

Virginia Beach, VA • On-site

Data Intelligence LLC
Internet Websites and Web Search Portals • 11 - 50 employees
Learn more about Data Intelligence LLCexternal

$100 - $125/hr

Other

Medical, Dental, Vision, PTO

Re-posted 4 days ago

Job description

Data Intelligence is seeking a highly experienced Senior Special Technologies Engineering and Integration Specialist to support the U.S. Navy under the NSWCDD DNA ISEA STEI contract located in Virgina Beach, VA. This role focuses on advanced engineering, integration, and deployment of complex computing environments (COE), with an emphasis on secure dataflow, system interoperability, and mission-driven network architecture.

Key Responsibilities
  • Design, implement, integrate, and maintain COE systems across enterprise and mission environments
  • Configure and manage secure wired and wireless networks (routers, switches, firewalls)
  • Engineer and manage COE dataflows, including data ingestion, transformation, and compliance with enterprise repositories
  • Develop and implement data routing methodologies to support mission execution and post‑mission delivery
  • Administer and deploy Windows and Linux systems in both physical and virtualized environments
  • Manage virtual infrastructure (VMware/vSphere)
  • Utilize Apache NiFi for dataflow automation and integration
  • Perform system and network security engineering, including implementation and enforcement of security controls
  • Support configuration management processes (tracking requirements, risks, bugs, and system changes)
Required Qualifications
  • Bachelor’s degree in an Engineering discipline
  • Minimum 10 years of professional experience in:
    • COE system design, implementation, and deployment
    • Network engineering (wired/wireless) including routers, switches, firewalls
  • DoD 8570/8140 compliant certification – minimum IAT Level II
    • (e.g., Security+ CE, CCNA Security, etc.)
  • 3+ years of experience with:
    • COE dataflow configuration and management
    • Data leveling, transformation, and ingestion protocols
    • Enterprise data repository compliance
  • 3+ years of experience in:
    • Windows Active Directory / Primary Domain Controller (PDC)
    • Windows and Linux system administration and deployment
    • Virtualization (VMware/vSphere)
    • Apache NiFi
    • Configuration management practices
    • System and network security engineering
  • Active Top Secret / SCI clearance
Certifications (Required)
  • Certified System Administrator in Windows and/or Linux
Why you should join us:

Data Intelligence offers competitive salaries, comprehensive benefits, a team‑oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran’s organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401(P), PTO and 11 paid holidays.

Data Intelligence is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

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