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MI
ManTech International Corporation
Senior Data Manager
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What they do
A Data Manager manages databases and coordinates data collection and analysis for a company or organization. Develops procedures for documentation and data storage. Performs or manages data analysis for studies, projects and reports.
$146,604 / year median in Virginia
+3% projected growth
Job Description
General information Requisition # R70145 Locations USA-VA-Springfield Posting Date 08/19/2026 Security Clearance Required TS/SCI Remote Type Onsite Time Type Full time Description & Requirements Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at MANTECH! •This is for a future opportunity•MANTECH seeks a highly motivated, career and client-oriented Senior Data Manager to join our Data and AI Practice and support a client in Springfield, VA. This is an on-site position. Responsibilities include but are not limited to: Provide technical and managerial leadership over the overhead satellite imagery (EO/SAR) preprocessing operations. Act as the Government's primary communication interface to the team and manage other contractors to ensure tasks and requirements are successfully executed. Oversee, monitor, and maintain the data operations pipeline—including data acquisition, ingestion, preprocessing, transformations, and bi-directional data movement between platforms. Direct and lead contractor data operations team members, providing project management guidance and technical expertise for data creation and management initiatives. Conduct regular QC and monitoring of data holdings to ensure compliance with specified requirements, data schemas, and standards. Apply engineering best practices to maximize data pipeline efficiency and performance across multiple sensor modalities, such as EO, FMV, HMI, and SAR. Ensure data dictionaries, Entity Relationship Diagrams (ERD), and software source code comments/documentation are continuously maintained and updated.