Note: The job is a remote job and is open to candidates in USA. OVA.Work is seeking an AI Governance Consultant to advise clients and internal stakeholders on establishing and maturing AI governance frameworks. The role involves developing governance strategies, policies, and operating models that align AI initiatives with business objectives and regulatory expectations.
Responsibilities
- Assess clients' AI governance maturity and recommend governance operating models and implementation roadmaps
- Design and implement AI governance frameworks covering the full AI lifecycle, from ideation through retirement
- Develop AI policies, standards, procedures, and control frameworks aligned with business and regulatory requirements
- Conduct AI risk assessments, model risk assessments, and AI impact assessments
- Advise on Responsible AI practices, including fairness, transparency, explainability, accountability, privacy, and human oversight
- Support AI inventory management, model documentation, model cards, data sheets, and governance artifacts
- Guide organizations in implementing governance processes for Generative AI, Large Language Models (LLMs), AI agents, and Retrieval-Augmented Generation (RAG) applications
- Interpret and apply applicable AI, privacy, cybersecurity, and industry regulations to AI initiatives
- Collaborate with legal, compliance, cybersecurity, internal audit, and enterprise risk teams to establish governance controls
- Develop AI governance metrics, reporting dashboards, and executive-level governance reports
- Support internal and external AI audits, regulatory reviews, and compliance assessments
- Deliver workshops, training sessions, and stakeholder awareness programs on AI governance and Responsible AI
- Stay informed about evolving AI regulations, standards, frameworks, and industry best practices
Skills
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, Data Science, Law, Risk Management, Business Administration, or a related field
- 5+ years of experience in AI governance, technology risk, model risk management, compliance, consulting, information security, or data governance
- Strong understanding of AI, machine learning, Generative AI, and AI system lifecycles
- Experience developing governance frameworks, policies, standards, and operating models
- Knowledge of AI risk management, regulatory compliance, and enterprise governance practices
- Experience working with cross-functional stakeholders, including executive leadership
- Strong analytical, documentation, presentation, and consulting skills
- Experience advising organizations on enterprise AI governance transformations
- Knowledge of Responsible AI, AI ethics, explainability, fairness, and AI safety practices
- Experience with AI model governance, MLOps governance, and AI assurance
- Familiarity with AI evaluation methodologies and AI audit processes
- Experience with cloud governance, data governance, and cybersecurity governance
- Experience supporting highly regulated industries such as banking, healthcare, insurance, telecommunications, energy, or the public sector
- Professional certifications in governance, risk, privacy, cybersecurity, cloud, or AI
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