Data & AI Governance Specialist (SWY-DAI)

GovCIO is seeking a Data & AI Governance Specialist to support a critical government computer system for the U.S.

Coast Guard (USCG) Data & AI Integration Team within the Software Yard – Product Delivery Service.

This role is primarily responsible for establishing data readiness standards, ensuring AI/ML compliance, and coordinating data governance frameworks across platform-aligned Product Teams to enable secure, scalable AI capabilities.

This position will be located in Kearneysville, WV, and will be a hybrid position.

As a Data & AI Governance Specialist, you will serve as a primary operational resource for ensuring that data assets feeding platform-aligned AI/ML models are secure, trusted, ethically compliant, and optimized for mission readiness.

You will maintain coordination continuity to balance rapid AI innovation with strict federal security and privacy standards.

include:

• AI Data Readiness: Coordinate and synchronize data governance workflows, data preparation pipelines, and feature store cataloging to support enterprise AI/ML deployment lifecycles.
• Cross-Functional Collaboration: Facilitate communication acting as an operational bridge between AI/ML engineers, Data Stewards, Product Owners, and Portfolio Product Line Managers.
• AI Compliance & Trust: Track and monitor data compliance milestones to ensure AI models and data pipelines meet federal AI directives, Responsible AI guidelines, and privacy baselines.
• Model & Data Documentation: Organize and maintain data dictionaries, data lineage maps, model cards, and governance verification documentation for mission-critical applications.
• Model Feedback Routing: Manage and track data quality and model drift issue resolution schedules, ensuring post-deployment feedback from operational users is routed back to product backlogs.
• AI Data Metrics Evaluation: Monitor data quality metrics, training data integrity, and key performance baselines to help guarantee delivered AI products sustain long-term mission reliability.
• Risk & Bias Mitigation: Proactively identify data security risks, data bias, compliance bottlenecks, or data silo constraints affecting AI rollout schedules and track remediation efforts.
• Federal Mandates Adherence: Ensure all data and AI activities support strict adherence to DoD/DHS Data and AI Strategies, federal AI Executive Orders, and relevant government security baselines.

High School with 6 years (or commensurate experience)

• Data & AI Governance: Proven experience coordinating data governance, data quality management, or AI compliance frameworks within an enterprise software development or analytics environment.
• Lifecycle Coordination: Experience managing complex schedules involving data pipelines, data profiling, model metadata management, or user acceptance testing (UAT) for data/AI assets.
• Agile & DevSecOps Integration: Comprehensive operational understanding of Agile methodologies, modern software delivery lifecycles (SDLC), and how data governance integrates into MLOps/DevSecOps pipelines.
• Stakeholder Facilitation: Strong experience facilitating collaboration and maintaining continuity among multi-disciplinary AI engineering teams, Data Owners, and operational stakeholders.
• Enterprise Tools: Proficiency tracking data assets, AI workflows, and task dependencies using enterprise tools (such as Jira, Azure DevOps, ServiceNow, Collibra, or Git-based environments).
• Data/AI Domain Foundations: Strong foundational understanding of diverse data management concepts, data architecture principles, and the fundamentals of machine learning lifecycles.

• Experience supporting U.S. Coast Guard, Software Yard, or Department of Homeland Security (DHS) enterprise data or AI/ML programs.