Data and AI Governance Specialist - Federal IT

GovCIO
Kearneysville, WV, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$140,000.0 - $185,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Data Governance Data Security Information Security Management Machine Learning Metadata Meta-Data Management Metadata Repositories Cloud Services SQL Databases
+3 more
Data Classification Data Lineage Data Management

Job description

GovCIO LLC seeks a Data & AI Governance Specialist to drive secure, compliant, and high quality data use across federal IT programs. In this mission driven, collaborative environment, you’ll design and implement governance frameworks covering data classification, metadata, quality, lineage, and responsible AI. You’ll partner with cybersecurity, cloud, and analytics teams to align with federal regulations, establish stewardship and approval workflows, and deploy tools such as data catalogs, lineage, and quality platforms. You’ll measure governance effectiveness, lead audits, and train teams to ensure robust, ethical data and AI practices., * Define and maintain data and AI governance policies, standards, and controls for federal IT programs

  • Establish data classification, metadata, lineage, and quality frameworks across systems
  • Partner with security and compliance teams to align with federal regulations and cybersecurity requirements
  • Implement governance processes for AI/ML model lifecycle, monitoring, and risk management
  • Lead governance tools implementation (catalog, lineage, quality, MDM) and integrate with cloud platforms
  • Advise project teams on data access, sharing, retention, and responsible AI usage
  • Develop KPIs and dashboards to measure data quality, compliance, and governance effectiveness
  • Conduct governance reviews, audits, and remediation plans for high risk systems
  • Facilitate data stewardship councils and working groups across business and IT stakeholders
  • Document governance processes and deliver training to project teams and stakeholders

Requirements

  • Data governance frameworks (e.g., DAMA, DCAM)
  • AI/ML governance and model risk management
  • Data catalog and metadata management tools
  • Data quality management and profiling
  • Data lineage and impact analysis
  • Cloud data platforms (AWS, Azure, or GCP)
  • SQL and data modeling concepts
  • Information security and privacy regulations (e.g., Fed
  • RAMP, FISMA)
  • Master data and reference data management
  • Governance metrics, KPIs, and dashboarding

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