Cross-Functional Collaboration: Work with legal, cybersecurity, data science, and compliance teams to ensure AI systems meet ethical and regulatory standards.

Lifecycle Oversight: Monitor AI model lifecycle for transparency, accountability, and bias mitigation.

Ethical AI Implementation: Guide the organization in adopting Responsible AI principles, including fairness, explainability, and trustworthiness.

Training & Awareness: Conduct workshops and training sessions on AI governance and ethical AI practices.

Qualifications:

Bachelor’s degree in Computer Science, Data Ethics, Law, or a related field (Master’s preferred).

12+ years of experience in AI governance, risk management, or policy development.

Strong understanding of AI/ML technologies and their ethical implications.

Familiarity with regulatory frameworks such as GDPR, NIST AI RMF, and DoD AI policies.

Experience with bias mitigation, algorithmic transparency, and model interpretability.

Excellent communication and stakeholder engagement skills.

Preferred Certifications:

AWS Certified Machine Learning

Certified Information Systems Security Professional (CISSP)

AI Ethics or Responsible AI certifications