Data Steward and Data Analyst, Senior | Top Secret clearance w/SCI eligibility

AMERICAN SYSTEMS•Arlington, VA

1d•Onsite

About The Position

AMERICAN SYSTEMS, a 100% employee-owned federal contractor, is seeking a Senior Data Steward and Data Analyst to support mission-focused data integration efforts in Arlington, Virginia. The role transforms complex mission data into secure, trusted, discoverable, and reusable data products that support Government decision-making and operations. It calls for a collaborative, detail-oriented data professional who can balance mission needs with data governance and security practices, communicate with technical and mission stakeholders, and solve complex data challenges in a dynamic classified environment. This requisition is for potential upcoming work and is not a current opening. Qualified candidates will be contacted when the work and funding become available.

Requirements

Active Top Secret security clearance with SCI and SAP eligibility.
Bachelor’s degree in data science, information systems, computer science, analytics, statistics, engineering, or a related technical discipline.
5 to 7 years of related experience in data analysis, data stewardship, data governance, database analysis, data integration, database development, or a related technical field.
Current DoD 8140 IAT Level II baseline certification, such as CompTIA Security+ CE, or another qualifying IAT Level II certification.
Microsoft Power BI Data Analyst Associate, Tableau certification, or an equivalent data analytics certification.
Experience documenting data sources, schemas, data dictionaries, metadata, lineage, data-quality rules, catalog entries, data tags, and acceptance criteria.
Experience working with structured, semi-structured, and unstructured data.
Experience with SQL, relational databases, data profiling, data-quality analysis, metadata management, source-to-target mapping, and dashboards.
Working knowledge of data governance, lifecycle management, classification handling, access controls, releasability, retention, audit requirements, and secure data sharing.
Familiarity with ABAC, attribute mapping, metadata tagging, controlled sharing, and data-masking concepts.
Ability to work independently, develop sound approaches to assigned work, and deliver practical solutions to complex data challenges.
Strong written and verbal communication skills.

Nice To Haves

DAMA CDMP Associate certification, or an equivalent data management or data governance certification.
Experience supporting enterprise data products or mission data integration workflows.
Experience with SQL, data profiling, data quality analysis, data dictionaries, metadata management, source-to-target mapping, dashboards, and relational databases.

Responsibilities

Analyze mission data sources and requests, including their format, volume, sensitivity, classification, ownership, authoritative source, consumers, and operational dependencies.
Develop and maintain data-source profiles, including schemas, data dictionaries, metadata, lineage, quality rules, access tags, catalog entries, and acceptance criteria.
Support data governance and data-management activities that improve data discoverability, reuse, controlled sharing, interoperability, and mission usability.
Support the design, analysis, and implementation of data-management solutions, including data modeling, relational database analysis, metadata repositories, data mapping, and transformational analysis.
Partner with Government stakeholders, data owners, software and platform teams, security personnel, compliance stakeholders, and operations teams to validate data use and handling requirements.
Document classification, releasability, retention, audit, masking, and access-control requirements for mission data.
Support attribute-based access control (ABAC) implementation through attribute mapping, metadata tagging, controlled sharing, and secure data-product publication.
Develop and maintain technical documentation, including data architectures, interface control documents, source-to-target mappings, access-control plans, test plans, validation procedures, and runbooks.
Perform data profiling, reconciliation, validation, anomaly identification, trend analysis, and data-quality assessments.
Define and track data-quality metrics, including availability, completeness, timeliness, lineage accuracy, schema conformance, catalog readiness, and usability.
Support integration and test activities by validating data movement, schema implementation, metadata tagging, access controls, quality rules, and audit requirements.
Identify and recommend practical improvements related to data quality, standardization, discoverability, reuse, and operational performance.
Prepare clear technical analyses, data profiles, test results, and stakeholder-ready deliverables.