Responsibilities
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.
Qualifications
REQUIRED QUALIFICATIONS
- Active Secret clearance required.
- Expereince / Education: 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
- Certifications: This role requires a demonstration of capability within the Cyberspace IT workforce. Success