AI Governance

Key Responsibilities

• Develop, refine, and lead the implementation of the organization's Responsible AI (RAI) compliance program, aligning it with regulatory requirements and ethical best practices.
• Design and implement governance frameworks that ensure ethical AI development, deployment, and monitoring.
• Collaborate with legal and regulatory teams to ensure compliance with global AI regulations (e.g., EU AI Act, GDPR, CCPA) and internal governance policies.
• Lead risk assessments to identify ethical, legal, and operational risks in AI systems, with a focus on fairness, transparency, accountability, and bias mitigation.
• Create AI risk mitigation strategies in collaboration with technical teams to address identified risks and ensure ethical outcomes in AI-driven decision-making processes.
• Develop AI auditing protocols and perform regular audits of AI models and systems to ensure they comply with organizational and regulatory standards.
• Monitor and stay informed on emerging AI regulations, industry standards, and ethical guidelines to ensure compliance with AI governance frameworks.
• Advise on the creation and refinement of internal policies, guidelines, and practices regarding the ethical use of AI technologies.
• Regularly review and update compliance frameworks to meet evolving regulatory requirements.
• Ensure thorough documentation of AI systems, audits, and compliance efforts to support both internal reviews and external reporting requirements.
• Prepare regular reports for senior management on the status of AI compliance, risk assessments, and corrective actions.
• Serve as the primary point of contact for audits or inquiries related to AI compliance from regulators or external assessors.
• Lead internal training and awareness programs focused on AI compliance, ethical AI practices, and emerging regulations for relevant stakeholders.
• Collaborate with HR, legal, and technical teams to ensure all employees involved in AI development and deployment understand their role in ensuring responsible and compliant AI use.
• Provide ongoing support and resources for cross-functional teams to ensure the consistent application of AI compliance protocols.

Requirements & Tech Stack

• Technical knowledge and expertise on AI, ML, Data Science, and software development methodologies.
• Structured problem-solving and consulting skill-sets.
• Program management of large projects involving multiple stakeholders.
• Good verbal & written communication skills – articulate value to delivery leads, project managers & other unit heads and negotiate and resolve conflicts.

Qualifications

• Implied: Experience with AI Governance principles and practices.
• Implied: Understanding of regulatory compliance in technology.

Locations: Bangalore, Hyderabad, Chennai, Pune, Noida, Kolkata, Jaipur, Trivandrum, Nagpur, Indore, Bhubaneshwar & Coimbatore.