Senior AI Governance Analyst
About The Position
The Senior AI Governance Analyst leads the development, implementation, and oversight of governance frameworks to ensure predictive and generative AI systems are safe, ethical, secure, and compliant with federal standards. The role serves as a subject-matter expert in responsible AI, policy compliance, risk management, and AI assurance across the AI solution lifecycle. It partners with engineering, product, evaluation, and client stakeholders to integrate governance principles into AI design, development, deployment, and ongoing operations. The analyst also supports the growth of Steampunk’s AI & Data Exploitation Practice by advising leadership on emerging regulations and standards, communicating governance requirements to stakeholders, mentoring junior analysts, and developing reusable governance materials.
Requirements
- Ability to hold a position of public trust with the U.S. government.
- Bachelor’s degree and 10 or more years of work experience, or a master’s degree and 8 or more years of experience.
- At least 5 years of experience in AI governance, risk management, data ethics, compliance, or responsible technology roles.
- Strong understanding of federal AI policies, standards, and frameworks, including the NIST AI RMF, Executive Orders and OMB guidance on AI, MLSecOps, privacy law, and agency-level directives.
- Demonstrated experience embedding governance controls into AI/ML development workflows, including documentation, reviews, and lifecycle risk management.
- Familiarity with LLMs, RAG systems, and generative AI architectures, and ability to assess their risks.
- Experience conducting algorithmic impact assessments, model risk assessments, or responsible AI reviews.
- Strong communication skills and ability to clearly explain governance requirements to engineers, product teams, executives, and government clients.
- Ability to analyze technical systems, identify risks, and recommend actionable mitigations grounded in policy and best practices.
- Experience working in agile environments, collaborating across cross-functional teams, and independently driving governance processes.
Nice To Haves
- Exposure to evaluation techniques, fairness assessments, transparency documentation, or audit processes.
Responsibilities
- Lead the development and implementation of AI governance frameworks aligned with federal policies, the NIST AI Risk Management Framework, MLSecOps, agency guidance, and emerging regulatory requirements.
- Drive AI risk identification, assessment, and mitigation processes for generative and predictive AI systems.
- Oversee creation and maintenance of model cards, data cards, lineage records, impact assessments, and system risk profiles.
- Collaborate with engineering and product teams to incorporate privacy, fairness, transparency, and explainability into AI systems.
- Partner with AI Evaluation Scientists to establish governance-aligned quality thresholds, safety checks, and ongoing model-output monitoring requirements.
- Support compliance related to data usage, provenance, confidentiality, prompt injection defense, and secure model interaction patterns.
- Develop governance review processes, including AI readiness assessments, model approval workflows, and continuous assurance procedures.
- Research emerging AI regulatory trends, industry standards, federal mandates, and best practices, and advise leadership on their implications.
- Communicate governance requirements and findings to stakeholders across programs, including risks, constraints, and recommended controls.
- Mentor junior analysts and help create templates, playbooks, and reusable assets that strengthen AI governance capabilities.
- Contribute to the growth of Steampunk’s AI & Data Exploitation Practice.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
