AI Governance Specialist

AI Governance Specialist

Location

Experience: 912 Years

Employment Type: Full-time

Position Summary

AI Governance Specialist

Key Responsibilities

AI Policy & Framework Development

• Develop and implement AI governance policies, risk management frameworks, and standards.
• Align governance practices with international regulations (EU AI Act, NIST AI RMF, ISO/IEC 42001).
• Partner with legal, compliance, product, and data science teams to ensure adherence to ethical and regulatory requirements.

Risk Assessment & Compliance

• Conduct AI risk and impact assessments across the model lifecycle.
• Monitor compliance with AI regulations, data privacy laws (e.g., GDPR), and industry standards.
• Identify, escalate, and mitigate potential ethical, legal, or reputational risks.

Ethical AI & Responsible Innovation

• Drive initiatives promoting fairness, transparency, accountability, explainability, and human oversight in AI/ML systems.
• Support bias detection, algorithmic accountability, and model interpretability.

Governance Operations & Tooling

• Embed governance controls into AI/ML pipelines and MLOps practices.
• Evaluate or develop governance tools for documentation (model cards, datasheets), explainability, and audit trails.

Stakeholder Engagement & Training

• Act as a subject matter expert for internal and external stakeholders.
• Develop and deliver training programs on responsible AI practices for technical and business teams.

Qualifications

Education

• Bachelors or Masters degree in

  Law, Computer Science, Data Science, Ethics, Public Policy

  , or related field.
• Certifications in

  AI Ethics, Data Protection, or Risk Management

  are a plus.

Experience

• 912 years of experience in

  AI/ML, risk management, regulatory compliance, or corporate governance

  .
• Exposure to responsible AI frameworks, audit processes, and regulatory readiness.
• Experience working in regulated industries (finance, healthcare, energy, insurance) preferred.

Skills

• Strong knowledge of

  AI/ML technologies

  and their societal/organizational impact.
• Familiarity with global AI standards (EU AI Act, NIST AI RMF, ISO/IEC 42001).
• Understanding of

  cybersecurity, data governance, and digital ethics

  .
• Excellent analytical, communication, and stakeholder management skills.
• Ability to influence cross-functional teams in a fast-paced, dynamic environment.