Data Manager - Senior (KP) Job#818
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LocationSpringfield, VA, Springfield, Virginia, United States
Work modeon-site
Typefull-time
SenioritySenior
Experience2+ yrs
DepartmentGEOSPI
Company size501–1,000 people
PostedJun 23, 2026 · 4mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
3+ years of experience with people management
Excellent communication and problem-solving skills
Extensive technical project management experience
4+ years of experience doing quantitative analysis, developing visualizations, and processing complex data
Experience with data manipulation, ETL procedures, and database technologies
Experience managing databases and data pipelines and working with cloud architectures
2+ years of experience working with large, complex geospatial data files and formats
TS/SCI clearance
Experience using Agile/SAFe methodologies
Experience with NGA enterprise technology systems, such as NGA CORE and MLOps
GEOINT Professional Certification – Fundamentals (F)
Experience working with AI/ML technologies applied to geospatial data
Current CI polygraph is required immediately after starting (or already within scope)
Skills
quantitative analysis
data visualization
ETL
database technologies
cloud architectures
Agile/SAFe
NGA CORE
MLOps
AI/ML
geospatial data
Data Manager - Senior (KP)
Location: Springfield, VA
TS/SCI REQUIRED
Current CI polygraph is required immediately after starting (or already within scope)
Position Responsibilities:
•
3+ years of experience with people management experience and excellent communication and keen problem-solving skills. Extensive technical project management experience, independently initiating and driving projects to completion, and experience solving strategic problems.
•
4+ years of experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights. Experience with data manipulation, extract, transform, load (ETL) procedures, and a working knowledge of database technologies. Experience managing databases and data pipelines and working with cloud architectures.
•
2+ years of experience working with large, complex geospatial data files and formats
•
Desired: Experience using Agile/SAFe methodologies; experience with NGA enterprise technology systems, such as NGA CORE and MLOps; GEOINT Professional Certification – Fundamentals (F); experience working with AI/ML technologies applied to geospatial data.