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Leads the responsible and ethical use of Artificial Intelligence across our organization. Responsible for the comprehensive implementation and continuous oversight of our AI governance framework. Ensure our AI systems operate within legal, ethical, and organizational guidelines, while also building trust and unlocking sustainable value from our AI investments.
Job Responsibility:
Drive Framework Implementation and Enhancement: Lead the planning and execution of our AI governance framework
Manage AI-Specific Risks: Proactively identify, assess, and mitigate risks related to algorithmic bias, data privacy, security, and operational vulnerabilities
Ensure Regulatory Compliance: Stay current with the evolving legal and regulatory landscape
Integrate with Data Governance: Work closely with our Data Governance team to ensure seamless alignment between our AI and data governance frameworks
Foster Cross-Functional Collaboration: Partner with data scientists, engineers, legal counsel, compliance officers, and senior leadership
Build an AI Inventory: Take the lead on creating and maintaining a comprehensive inventory of our AI models and applications
Drive Training and Awareness: Develop and deliver enterprise-wide training programs to raise awareness about AI risks, ethical considerations, and compliance requirements
Requirements:
Master’s degree from an accredited institution in a relevant field such as Computer Science, Engineering, Law, or Public Policy
Seven (7) years in a governance-focused role, with a strong background in legal, compliance, or data governance
Demonstrated ability to implement significant change projects, successfully integrating new governance practices into existing organizational structures
Practical experience in building and managing comprehensive project and program plans, including defining scope, objectives, and resource requirements
A track record of establishing a strong foundation for data quality and governance, treating data as a valuable organizational product
Experience in AI risk management, including the ability to identify potential risks, establish mitigation plans, and integrate compliance measures
Technical Acumen: A strong understanding of AI technologies and machine learning models, as well as their ethical implications
Legal & Regulatory Expertise: Comprehensive knowledge of relevant laws and industry standards for AI ethics, data protection, and privacy (e.g., EU AI Act, NIST AI Risk Management Framework)
Leadership & Strategic Thinking: Demonstrated leadership skills with the ability to influence and drive organizational change
Communication: Exceptional communication and stakeholder management skills, with the ability to articulate complex technical and ethical concepts to diverse audiences
Nice to have:
Familiarity with bias detection and mitigation techniques is a plus