Data Manager

Xenith Solutions•Colorado Springs, CO

About The Position

The Data Manager supports a rapid‑prototype software and data integration effort, coordinating assessment, design, implementation, and testing activities in an operational environment. This role oversees the full lifecycle of mission‑relevant data, ensuring high‑quality, multi‑source intelligence and operational datasets are properly acquired, transformed, validated, and exposed to analytics, UI components, and automated systems. The Data Manager must have deep experience with Intelligence Community (IC) data sources and workflows, enabling accurate fusion of disparate datasets to support time‑sensitive analytical and operational outcomes.

Requirements

Active TS//SCI clearance with current, ready access to JWICS.
Deep familiarity with IC data sources, formats, access mechanisms, and dissemination standards.
Demonstrated experience managing or engineering data for IC and DoD involving sensitive intelligence data.
Expertise in ETL/ELT pipelines, data modeling, schema mapping, metadata management, and data quality assurance.
Experience with data fusion, correlation, and multi‑source processing workflows used in intelligence and operational analysis.
Hands‑on experience with cloud or enterprise data platforms in classified environments.
Ability to work with cross-functional engineering, analytics, and mission teams in a rapid‑prototype, fast‑paced environment.
Strong communication skills for documenting data flows and participating in technical exchange meetings with Government stakeholders.

Responsibilities

Lead end‑to‑end data lifecycle operations, including intake, transformation, storage, and quality assessment for mission‑relevant datasets.
Assess IC and operational data sources for usability, latency, accuracy, completeness, bias, and relevance to mission workflows.
Map data flows, schemas, dependencies, and interoperability needs across all sources to support aggregation and fusion.
Support rapid‑prototype phases: data assessment, data architecture design, ingest pipeline implementation, and testing in operational or field environments.
Ensure data availability, integrity, and correctness within cloud and enterprise data platforms.
Collaborate with algorithm developers, ML/analytics SMEs, UI teams, and operational experts to align data with analysis and mission needs.
Identify data ingestion risks, data gaps, latency problems, and integration challenges; develop mitigation paths.
Document data formats, metadata, control interfaces, and requirements as part of ICD development.
Engage Government data owners and user communities to validate the applicability and operational utility of data sources.
Support testing, verification, and validation of data pipelines and aggregated outputs throughout prototype iterations.