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Data Operations Manager DRRS SME

Job in Alexandria, Fairfax County, Virginia, 22350, USA
Listing for: Saic
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 160001 - 200000 USD Yearly USD 160001.00 200000.00 YEAR
Job Description & How to Apply Below

Description

SAIC is seeking a Data Operations Manager/DRRS SME to join our team in Alexandria, Virginia.

Responsibilities Real-Time Pipeline Monitoring and Operations
  • Monitor Azure Data Factory (ADF) pipeline execution status in real time to ensure uninterrupted data ingestion, normalization, and delivery.
  • Monitor Azure Event Hubs streaming pipeline health to guarantee the performance, throughput, and reliability of real-time data sources.
  • Document all pipeline failures, conducting initial triage, identifying root causes, and executing corrective actions within established service level objectives (SLOs).
Source Integration and Connector Support
  • Support the maintenance, configuration, and optimization of source system connectors to sustain seamless data integration.
  • Evaluate and migrate direct-to-Service data feeds to Advana/WDP hosted sources to reduce daily ADS operational overhead, while actively managing intermediary broker risks and establishing fallback mechanisms to guarantee data continuity.
  • Analyze data flows and interface specifications of emerging source systems to facilitate rapid and secure onboarding of new data streams.
Data Freshness and Alert Management
  • Monitor the dedicated Data Freshness Dashboard to ensure all integrated sources adhere to expected refresh frequencies.
  • Initiate rapid troubleshooting and investigative procedures when source data is overdue by more than twice its expected refresh interval.
  • Document freshness bottlenecks and coordinate closely with the Data Operations Manager when issues require escalation to the DIO for external stakeholder intervention.
Data Quality Framework Operations
  • Conduct daily reviews of source and domain-specific data quality scores, proactively identifying trends, anomalies, or quality degradation.
  • Manage the quarantined records queue, conducting daily reviews of flagged records and preparing rapid notifications for the DIO to expedite disposition.
  • Compile and organize data quality metrics to support the production of the monthly Data Quality Trend Report for DRRS and DIO leadership.
Data Governance and Information Exchange
  • Maintain and update the DRRS metadata catalog of any system-wide data or schema modifications to ensure transparency and compliance.
  • Support monthly data lineage validations for all production data flows to verify and document the precise origin, movement, and transformation of data.
  • Support the drafting, negotiation, and management of data exchange agreements, translating operational mission needs into defined rules and technical requirements for data exchange.
Qualifications Required

Education:
  • Bachelors and fourteen (14) years or more experience;
    Masters and twelve (12) years or more experience;
    PhD or JD and nine (9) years or more experience.
Qualifications:
  • Experience:

    8+ years of experience in data operations, systems analysis, data engineering support, or a closely related technical role.
  • DRRS Domain Expertise:
    Strong, demonstrated understanding of the Defense Readiness Reporting System (DRRS) framework, including readiness metrics (Personnel, Equipment, and Unit Readiness), reporting entities, and readiness data standards.
  • Data Flow & Architecture Expertise:
    Strong, demonstrated understanding of end-to-end data flows, ETL/ELT methodologies, and enterprise systems facilitating high-volume data integration.
  • Cloud Infrastructure Proficiency:
    Hands-on experience working with enterprise cloud environments, specifically within the Microsoft Azure ecosystem:
  • Data Quality & Governance:
    Familiarity with implementing data quality rules, managing metadata catalogs, and tracking data lineage in a governed enterprise data environment.
  • Analytical & Collaborative Problem Solving:
    Excellent diagnostic and root cause analysis skills for…
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