Data Management Specialist - TS/SCI with Polygraph

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. This customer-focused role integrates enterprise data management, data analytics, structured records management, system data accreditation support, and controlled data library services.

HOW A DATA MANAGEMENT SPECIALIST WILL MAKE AN IMPACT:

Data Management & Operational Insights

• Analyze lifecycle, operational, compliance, and technical data to derive insights and support enterprise reporting.
• Develop dashboards, metrics, and visualizations for Sponsor leadership and technical teams.
• Prepare validated datasets and analysis artifacts supporting forecasting, modernization, and risk analysis.
• Identify trends, variances, noncompliance indicators, and technical risks across distributed systems.
• Enhance workflow automation, data quality validation checks, and reporting processes.
• Provide subject matter expertise in data discoverability and best practice recommendations on enterprise data management using Sponsor tools and data repositories.
• Provide best practice recommendations of data management, data governance, data compliance

Records Management

• Maintain curated repositories of classified and unclassified data sources ensuring traceability and auditability.
• Execute full-lifecycle records management including identification, cataloging, archiving, retrieval, and disposition.
• Prepare physical documents for digitization including removal of bindings, sorting, barcoding, scanning, and reassembly.
• Perform 100% quality control validation of digitized documents to ensure accuracy and completeness.
• Capture and record required metadata such as title, publication date, classification, subject, document type, and retention attributes.
• Maintain tracking records, barcodes, logs, and workflow documentation for archived and active records.
• Ensure adherence to Sponsor records policy, retention schedules, and secure handling requirements.

System Data Accreditation (SDA)

• Support development of data definitions, data quality standards, and business rules for system accreditation packages.
• Document data collection and governance procedures aligned with Sponsor information management accreditation methodology.
• Assist in preparing and maintaining accreditation artifacts, evidence packages, data lineage documentation, and validation results.
• Ensure transparency, repeatability, and compliance of data workflows through detailed documentation and SOPs.
• Perform data integrity, validation, and reconciliation checks required for accreditation processes.
• Coordinate with system owners, engineers, ISSMs, and data stewards to ensure accreditation requirements are satisfied.

WHAT YOU'LL NEED TO SUCCEED:

• Education: Bachelor’s degree in IT, data, engineering, library science, management or related field; equivalent experience accepted.
• Experience: 5+ years’ experience across data analysis, records management, data governance, or accreditation functions.
• Required skills:
• Experience with structured records management, metadata cataloging, and digitization workflows.
• Experience supporting the customer environments, processes, and documentation standards.
• Hands-on experience performing data integration, cleansing, processing, and analytics.
• Proficiency with data visualization tools such as Tableau or Power BI.
• Experience preparing documentation for system data accreditation, governance, or compliance.
• Knowledge of controlled document/media handling, accountability, and access control protocols.
• Security clearance level: TS/SCI with Polygraph
• Preferred qualifications:
• Certified Data Management Professional (CDMP).
• NARA Records Management Certification.
• Sponsor-specific SDA or governance experience.
• Experience supporting controlled repositories, data libraries, and CDRL submissions.
• Experience with JIRA/SharePoint/ServiceNow
• US citizenship required

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

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