Data Manager (Journeyman)

Peraton

2d • $66,000 - $106,000 • Remote

About The Position

Peraton is seeking a Data Manager (Journeyman) to support the MODES III program supporting Military Community and Family Policy (MC&FP). In this role, the selected candidate will provide enterprise data management leadership for the program, owning data governance, canonical data models, data quality, lineage, and stewardship to support dashboards, analytics, and AI/ML initiatives. This position is remote and requires an active Secret clearance.
JOB DESCRIPTION
Provide enterprise data management leadership for MODES III, owning data governance, canonical data models, data quality, lineage, and stewardship to support dashboards, analytics, and AI/ML initiatives.
Establish and enforce data governance policies: define data ownership, metadata standards, taxonomies, DCAT/DCAT‑US mapping for datasets, and access controls to ensure consistency across O&E and ITCDO data consumers.
Design canonical data models & dictionaries: create and maintain enterprise data dictionaries, ETL mappings, and schema standards used by data engineers, DBAs, and analytics teams to ensure reliable dashboard KPIs and program performance standards/quality thresholds calculations.
Lead data quality & lineage programs: implement automated data profiling, validation, reconciliation, and remediation workflows; define SLOs for data freshness, completeness, and accuracy feeding MODES III dashboards.
Oversee ingestion & ETL strategy: coordinate with Data Engineers and Cloud Architects to design secure pipelines (batch/stream) into the data lake, including PII/CUI masking, retention, and backup/DR policies.
Drive metadata, cataloging & discoverability: deploy and manage data catalog tools, document dataset provenance and usage, and support Data.gov/DoD publication requirements where applicable.
Ensure compliance & RMF support: coordinate with CCM/SDEL to ensure data handling, storage, and transfer comply with RMF/ATO, DISA STIGs, and privacy rules; provide required evidence for eMASS artifacts.
Integrate with analytics & AI/ML: prioritize authoritative datasets for model training, validate dataset readiness, and establish feedback loops from analytics outputs into data improvement cycles.
Familiar with: Databricks, Snowflake, AWS Glue, Airflow, Spark, Kafka, DBT, Python/SQL, Redshift/RDS, S3, Athena, ETL orchestration, Tableau/QuickSight, data cataloging (Glue Catalog), basic Collibra/metadata workflows, monitoring/alerts for pipelines.

Requirements

• Active Secret clearance required.
• 5 years relevant experience with BS/BA degree or 3 years with MS/MA or 1 year with Phd or 9 years w/o a degree or 7 years with AS/AA
• This role requires a demonstration of capability within the Cyberspace IT workforce. Successful applicants must satisfy Foundational Qualification standards via an approved industry certification (e.g., A+ or Network+) or documented equivalent military/educational training as defined in the DoD 8140 Qualification Matrix.

Nice To Haves

• Eligible for Top Secret/SCI clearance.
• Prior experience working in DoD or Federal government IT environments.
• AWS certifications (e.g., AWS Solutions Architect, AWS Security Specialty) or equivalent cloud certifications.
• Experience with cloud-native data pipelines, analytics platforms, or data lake architectures.
• Familiarity with NIST RMF, ATO processes, and DoD security compliance frameworks.
• CompTIA Security+
• Worklocation: Remote with the ability to travel to the NCR as needed

Responsibilities

• Provide enterprise data management leadership for MODES III, owning data governance, canonical data models, data quality, lineage, and stewardship to support dashboards, analytics, and AI/ML initiatives.
• Establish and enforce data governance policies: define data ownership, metadata standards, taxonomies, DCAT/DCAT‑US mapping for datasets, and access controls to ensure consistency across O&E and ITCDO data consumers.
• Design canonical data models & dictionaries: create and maintain enterprise data dictionaries, ETL mappings, and schema standards used by data engineers, DBAs, and analytics teams to ensure reliable dashboard KPIs and program performance standards/quality thresholds calculations.
• Lead data quality & lineage programs: implement automated data profiling, validation, reconciliation, and remediation workflows; define SLOs for data freshness, completeness, and accuracy feeding MODES III dashboards.
• Oversee ingestion & ETL strategy: coordinate with Data Engineers and Cloud Architects to design secure pipelines (batch/stream) into the data lake, including PII/CUI masking, retention, and backup/DR policies.
• Drive metadata, cataloging & discoverability: deploy and manage data catalog tools, document dataset provenance and usage, and support Data.gov/DoD publication requirements where applicable.
• Ensure compliance & RMF support: coordinate with CCM/SDEL to ensure data handling, storage, and transfer comply with RMF/ATO, DISA STIGs, and privacy rules; provide required evidence for eMASS artifacts.
• Integrate with analytics & AI/ML: prioritize authoritative datasets for model training, validate dataset readiness, and establish feedback loops from analytics outputs into data improvement cycles.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees