Job Title: AI Governance ConsultantJob SummaryWe are seeking an AI Governance Consultant to advise clients and internal stakeholders on establishing and maturing AI governance frameworks that enable the responsible, secure, and compliant adoption of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions. The ideal candidate has expertise in AI governance, risk management, Responsible AI, regulatory compliance, and AI lifecycle management. This role partners with business leaders, AI engineers, data scientists, legal, privacy, cybersecurity, risk, and audit teams to develop governance strategies, policies, and operating models that align AI initiatives with business objectives and regulatory expectations.
Key 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.
Required Qualifications- 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.
Preferred Qualifications- 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.
Technical Skills- AI Governance Framework Design
- Responsible AI
- AI Risk Management
- Model Governance
- AI Lifecycle Governance
- Model Documentation
- AI Impact Assessments
- Risk Assessment Methodologies
- Compliance Management
- Governance, Risk, and Compliance (GRC) Platforms
- Microsoft Excel
- Power BI or Tableau
- SQL (preferred)
- Python (preferred)
- AWS / Azure / Google Cloud Platform (preferred)
Regulatory & Framework Knowledge- AI governance frameworks
- Model Risk Management (MRM)
- Responsible AI principles
- AI transparency and explainability
- Data privacy and security principles
- AI assurance and audit methodologies
- Enterprise risk management
- Industry-specific regulatory requirements
Consulting & Soft Skills- Executive stakeholder management
- Strategic consulting and advisory
- Strong presentation and facilitation skills
- Excellent written communication and documentation
- Analytical thinking and structured problem-solving
- Cross-functional collaboration
- Change management and organizational influence
Nice to Have- Experience developing enterprise AI governance operating models
- Experience implementing AI governance tooling and workflows
- Knowledge of AI vendor risk management and third-party AI assessments
- Familiarity with AI policy development, AI ethics committees, and governance boards
- Contributions to AI governance thought leadership, standards, or industry working groups
Key Performance Indicators (KPIs)- AI governance framework adoption and maturity
- Successful completion of AI risk and impact assessments
- Audit and regulatory readiness
- Reduction in AI governance and compliance findings
- Timely delivery of governance programs and advisory engagements
- Stakeholder satisfaction and governance adoption
- Quality and completeness of governance documentation
- Improvement in Responsible AI compliance across AI initiatives
LocationHybrid / Remote / On-site (as applicable)
Employment TypeFull-time
