Senior AI Governance

Responsibilities: Develop and implement AI Governance frameworks, policies, and standards to ensure a responsible and ethical use of AI.

Conduct AI risk assessments, evaluating models for bias, fairness, explainability, robustness, and regulatory compliance.

Collaborate with Data Science, Engineering, Legal, Compliance, and Risk teams to embed governance controls throughout the AI lifecycle.

Align AI Governance with enterprise Data Governance, privacy, cybersecurity, and regulatory requirements.

Prepare governance documentation, compliance reports, and deliver awareness sessions on Responsible AI practices.

Qualifications: 8-12 years in projects implementation

Strong knowledge of AI governance principles, data ethics, and regulatory frameworks.

Familiarity with machine learning concepts and ability to communicate risks to non-technical stakeholders.

Proven track record in implementing governance frameworks or compliance programs.

Excellent communication skills for translating technical AI risks into business language.

Develop policies and processes for ethical AI use.

Conduct AI risk assessments: Evaluate models for bias, robustness, explainability, and accountability.

Collaborate with cross-functional teams: Partner with data science, engineering, legal, and compliance teams.

Train staff on responsible AI: Build awareness and culture around ethical AI practices.