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# Data Steward

- **Company:** CACI
- **Location:** Stuttgart, Germany
- **Experience:** Expert
- **Salary:** €82,700 - €173,900
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Systems, Data Architecture, Data Validation, Data Dictionary, Data Governance, Extract Transform Load (ETL), Data Mining, Metadata, Metadata Standards, SPARQL, Unstructured Data, Data Strategy, Comptia Data+, Data Management, Data Pipelines
- **Published:** October 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=105404d11a65582a

## About the Role

* BA/BS in IT, Data science, CS, MIS, Engineering, or related field
 * TS/SCI Clearance
 * 5+ Years professional experience in data management, data governance, analytics, or information systems
 * Obtain Security+ (DoW 8570 IAT Level II Baseline) within 6 months of start date.
 * Have one or more of the following: CDMP Practitioner, Master (DAMA), CISSP, CompTIA Data+
 * Expertise designing and maintaining semantic ontologies, taxonomies, and metadata structures (RDF/OWL/SPARQL).
 * Demonstrated leadership in data governance councils, mission data strategy efforts, or COCOM-level working groups.
 * Experience supervising or mentoring data stewards, analysts, or developers in a multi-system environment.
 * Ability to integrate data processes with operational planning, intelligence fusion, or mission-critical COCOM systems.

Desired:

 * Proven ability to design and maintain semantic ontologies, taxonomies, and controlled vocabularies (RDF/OWL/SPARQL).
 * Experience building enterprise-scale data pipelines, ETL/ELT processes, and automated data quality checks.
 * Currently hold one or more of the following certifications: Security+ (DoW 8570 IAT Level II Baseline) and or CDMP Master (DAMA)

## Description

* Implement and enforce data management standards, requirements, and specifications aligned with industry and DoD best practices.
 * Collaborate with data owners to define data quality rules, metadata standards, and classification requirements.
 * Manage the collection, cataloging, distribution, and retrieval of structured and unstructured data across enterprise systems.
 * Identify and document customer requirements when onboarding new data assets and ensure proper classification and handling.
 * Maintain and update recurring data processes to preserve the integrity of existing repositories.
 * Analyze and develop data architectures for collection, integration, retention, and mission-aligned workflows.
 * Build and maintain semantic ontologies, taxonomies, and machine-understandable labels to improve discoverability and interoperability.
 * Develop and apply data mining, statistical, causal, and geospatial analysis to support mission analytics and decision-making.
 * Create data quality and performance metrics measuring usability, timeliness, completeness, and accuracy.
 * Review quality assessments and customer feedback to drive continuous improvement in data management practices.
 * Prepare and deliver training, awareness briefings, and user guidance on data policies, security requirements, and best practices.
 * Support integrated project teams (IPTs) by helping identify, curate, and manage data throughout project lifecycles.
 * Provide full lifecycle support for data-related applications (build, test, deploy, train).
 * Create and maintain documentation, including data dictionaries, process documentation, and code references.
 * Serve as a technical expert, leading major assignments and mentoring junior staff when required.