AI Governance Analyst

Overview

Steampunk is seeking an AI Governance Analyst to operationalize a compliant AI governance capability for a large federal client, translating federal AI policy into day-to-day processes and maintaining the program's AI use case inventory and risk tracking.

Responsibilities

• Operationalize an AI Governance Framework, translating federal guidance (Executive Orders, OMB directives, agency guidance) into governance processes, checklists, and workflows
• Build and maintain an AI Use Case Inventory categorized by solution type, lifecycle stage, and risk tier — capturing accountable owner, human-override model, and failure response for each use case — supporting assessment of use cases and clearance of production
• Support development and maintenance of governance documentation artifacts such as model cards, system documentation, and risk assessments
• Maintain a living Mandate Compliance Matrix, AI governance dashboards, and an incident/issue tracker, including OKR and token-usage tracking
• Support the AI Compliance and Risk Management Plan, addressing bias identification/monitoring, data handling/retention, safeguards against unauthorized access, and non-discrimination confirmation (Title VII, ADA, ADEA)
• Support periodic audits of deployed/production AI use cases to confirm continued compliance
• Monitor policy trends and regulatory updates to keep governance processes current with evolving federal AI requirements
• Contribute to reusable governance templates, checklists, and tools supporting program-wide consistency
• Support agency responses to oversight data calls and draft agency-specific AI policy at client request
• Document minimum annual mission value and deliver quarterly portfolio prioritization recommendations (scale, consolidate, or retire)

Qualifications

• Ability to obtain and maintain a U.S. government security clearance
• Bachelor's degree, preferably in Public Policy, Computer Science, Data Ethics, Cybersecurity, Law, or a related field
• 5+ years of AI governance, risk, or compliance experience (policy/process focus, not AI system development)
• Demonstrated experience translating regulatory/policy guidance into operational checklists and workflows
• Familiarity with the NIST AI Risk Management Framework
• Understanding of responsible AI principles (fairness, transparency, explainability, privacy, bias mitigation) and model risk management concepts
• Working knowledge of machine learning and generative AI concepts sufficient to assess governance and risk implications (not hands-on model development)
• Strong analytical and communication skills, with the ability to translate policy requirements into actionable guidance for both technical and non-technical stakeholders
• Strong documentation and inventory-management skills

Preferred

• Local to Metro DC area strongly preferred
• Federal AI policy experience (OMB, HHS, or comparable agency guidance)
• Experience supporting AI bias/fairness assessment or model risk documentation
• Master's degree in a related field
• Experience working within an Agile delivery environment
• Relevant certifications such as CIPP/US, CIPT, or CRISC