What are the responsibilities and job description for the Data & AI Governance Specialist position at GDH?
Role Summary
The Data & AI Governance Specialist supports critical government systems within a federal agency, focusing on establishing and maintaining data readiness standards, supporting AI/ML compliance, and coordinating data governance frameworks. This role collaborates with AI engineering teams, data stewards, product owners, and other stakeholders to support secure, trustworthy, and responsible AI deployment. The position requires balancing rapid AI innovation with established security, privacy, governance, and federal requirements.
Responsibilities
This position offers a hybrid schedule, with time split between the office and remote work.
The Data & AI Governance Specialist supports critical government systems within a federal agency, focusing on establishing and maintaining data readiness standards, supporting AI/ML compliance, and coordinating data governance frameworks. This role collaborates with AI engineering teams, data stewards, product owners, and other stakeholders to support secure, trustworthy, and responsible AI deployment. The position requires balancing rapid AI innovation with established security, privacy, governance, and federal requirements.
Responsibilities
- Coordinate and support data governance workflows, data pipelines, and feature store cataloging to enable enterprise AI/ML deployment.
- Facilitate collaboration among AI/ML engineers, Data Stewards, Product Owners, Portfolio Managers, and other stakeholders to promote alignment and effective communication.
- Monitor and track data compliance milestones to support adherence to applicable federal AI directives, Responsible AI guidelines, privacy requirements, and organizational policies.
- Maintain documentation, including data dictionaries, data lineage maps, model cards, and governance verification records for critical applications.
- Manage and track resolution schedules for data quality issues, model drift, and post-deployment feedback from operational users.
- Evaluate data quality metrics, training data integrity, and performance baselines to support the long-term reliability of AI products.
- Identify and help mitigate data security risks, potential biases, compliance issues, and data silo constraints that may affect AI deployment.
- Support compliance with applicable DoD, DHS, and federal requirements, including relevant executive orders, policies, and security standards.
- Support lifecycle management of data and AI assets, including data pipelines, profiling, metadata management, and user acceptance testing (UAT) processes.
- Promote collaboration and continuity across multidisciplinary teams using enterprise tools such as Jira, Azure DevOps, and Git-based environments.
- High school diploma or equivalent with a minimum of 6 years of relevant experience, or an equivalent combination of education and relevant experience.
- Demonstrated experience supporting data governance, data quality management, or AI compliance frameworks within enterprise environments.
- Experience coordinating complex activities involving data pipelines, data profiling, and model metadata management.
- Working knowledge of Agile methodologies, the Software Development Life Cycle (SDLC), and the integration of data governance practices into MLOps and/or DevSecOps environments.
- Strong communication and facilitation skills, with the ability to collaborate effectively with AI engineering teams, data owners, and operational stakeholders.
- Experience using enterprise tools such as Jira, Azure DevOps, ServiceNow, Collibra, or Git-based platforms.
- Foundational knowledge of data management, data architecture, and machine learning lifecycle concepts.
- Ability to obtain and maintain the required Public Trust determination.
- Experience supporting federal enterprise data or AI programs is preferred.
This position offers a hybrid schedule, with time split between the office and remote work.
Salary : $65,000 - $85,000