Responsibilities
1. Develop, refine, and lead the implementation of the organization's Responsible AI (RAI) compliance program, aligning it with regulatory requirements and ethical best practices. 2. Design and implement governance frameworks that ensure ethical AI development, deployment, and monitoring. 3. Collaborate with legal and regulatory teams to ensure compliance with global AI regulations (e.g., EU AI Act, GDPR, CCPA) and internal governance policies. 4. Lead risk assessments to identify ethical, legal, and operational risks in AI systems, with a focus on fairness, transparency, accountability, and bias mitigation. 5. Create AI risk mitigation strategies in collaboration with technical teams to address identified risks and ensure ethical outcomes in AI-driven decision-making processes. 6. 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. 7. Advise on the creation and refinement of internal policies, guidelines, and practices regarding the ethical use of AI technologies. 8. 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. 9. Prepare regular reports for senior management on the status of AI compliance, risk assessments, and corrective actions. 10. 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. 11. 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. 12. Provide ongoing support and resources for cross-functional teams to ensure the consistent application of AI compliance protocols.
Technical Requirements
• Good verbal & written communication skills – articulate value to delivery leads, project managers & other unit heads and negotiate and resolve conflicts. • 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
Preferred Skills
Foundational->Program Management->Program scientific estimation->Program nature specific estimation methodologies
Technology->Machine Learning->Responsible AI->explainable ai
Additional Responsibilities
Not Available
Educational Requirements
Bachelor of Engineering
