Data Manager

DarkStar Intelligence LLC

$130K — $160K *
Technical Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BA/BS with 8+ years in data management, governance, integration, or 12+ years relevant experience without a degree
  • TS/SCI with Polygraph clearance
  • Experience with enterprise data lifecycle management and governance
  • Proficiency in SQL, Python, Excel, Access or equivalent
  • Strong written and verbal communication skills
  • Ability to assess data processes for quality and efficiency improvement

Responsibilities

  • Establish and improve data lifecycle processes for ingestion, storage, and retention
  • Define and maintain data standards and governance policies
  • Integrate disparate data sources for interoperability
  • Optimize enterprise data repositories and storage environments
  • Conduct data quality assessments and implement improvement processes
  • Perform configuration management and ensure version control across data assets
  • Analyze data structures and workflows to enhance accessibility and efficiency

Benefits

  • Medical, dental, and vision coverage
  • Paid time off (PTO) and holidays
  • 401(k) retirement plan options
  • Professional development and training opportunities
Full Job Description
Job Type

Full-time

Description

DarkStar Intelligence is seeking a Data Analyst to support our customer onsite in Bethesda, MD. The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is structured, accessible, reliable, and aligned with mission and operational objectives as data volume, complexity, and interoperability requirements continue to evolve.

The successful candidate will establish and maintain data lifecycle processes, support integration and interoperability across systems, and assist with implementing data standards, governance policies, and repository management practices. This position will also support configuration management efforts through controlled reviews of technical and engineering documentation to ensure consistency, traceability, and version control across enterprise data assets and systems.

Responsibilities :

  • Establish, maintain, and improve enterprise data lifecycle processes, including data ingestion, storage, usage, archival, and retention practices.
  • Support enterprise data governance initiatives by defining and maintaining data standards, validation rules, metadata management practices, and quality control procedures.
  • Integrate disparate data sources and artifacts across federated systems to support interoperability and mission requirements.
  • Support the development, maintenance, and optimization of enterprise data repositories and storage environments.
  • Conduct data quality assessments and implement standardized processes to improve data reliability and minimize manual intervention.
  • Perform configuration management and controlled documentation reviews to ensure alignment, traceability, consistency, and version control across data assets and engineering documentation.
  • Analyze enterprise data structures, policies, and workflows to identify opportunities for improved accessibility, efficiency, and reliability.
  • Develop and maintain documentation, reports, briefing materials, and technical artifacts related to data governance, repository management, and integration activities.
  • Support integration of new data models, standards, schemas, and artifacts into existing enterprise environments.
  • Collaborate with engineering, operations, and stakeholder teams to support evolving mission and program data requirements.
  • Provide recommendations to improve enterprise data architecture, governance policies, interoperability standards, and repository performance.
  • Communicate technical findings and recommendations clearly through written documentation, visual presentations, and verbal briefings suitable for both technical and non-technical audiences.


Requirements

  • Requires BA/BS and 8+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience.
  • TS/SCI with Polygraph clearance required.
  • Experience supporting enterprise data lifecycle management processes and data governance initiatives.
  • Experience with data integration, interoperability, metadata management, and repository administration.
  • Knowledge of configuration management principles, version control practices, and documentation governance.
  • Experience developing and maintaining technical documentation, reports, and briefing materials.
  • Proficiency with data management and analysis tools such as SQL, Python, Excel, Access, or equivalent technologies.
  • Experience supporting enterprise data repositories, storage environments, or data management platforms.
  • Ability to analyze data-related processes and recommend improvements to data quality, accessibility, and operational efficiency.
  • Strong written and verbal communication skills with the ability to present technical concepts to diverse stakeholder audiences.
  • Demonstrated ability to work independently and collaboratively within a fast-paced mission environment.

Desired Qualifications
  • Experience supporting Intelligence Community programs or other federal government environments.
  • Familiarity with data governance frameworks, metadata standards, and enterprise data management best practices.
  • Hands-on experience with Jira, Confluence, or other collaboration and configuration management tools.
  • Experience supporting cloud-based data environments and enterprise storage architectures.
  • Familiarity with automation processes that improve data validation, ingestion, and reporting workflows.
  • Experience supporting configuration control boards, technical review processes, or engineering documentation management.
  • Understanding of enterprise interoperability standards and data exchange methodologies.
  • Experience with the following Work Products preferred:
    • Data Management Lifecycle Documentation
    • Data Governance and Quality Plans
    • Data Integration and Interoperability Plans
    • Data Repository and Infrastructure Documentation
    • Configuration Management and Documentation Review Reports
    • Data Standards and Architecture Recommendations
    • Data Performance and Reliability Reports


Salary Range

$130,000 - $160,000 per year This pay range is a general guideline and not a guarantee of specific compensation or salary. When extending an offer, DarkStar Intelligence considers various factors, including (but not limited to) the job's responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, market data alignment, applicable bargaining agreements (if any), and other relevant laws.

Benefits Overview

DarkStar Intelligence offers a comprehensive benefits package, which may include:
  • Medical, dental, and vision coverage
  • Paid time off (PTO) and holidays
  • 401(k) retirement plan options
  • Professional development and training opportunities

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