We are seeking a Risk Governance Lead to support enterprise risk programs in Data and AI. If you're thorough, analytical, and skilled at problem-solving, join a dynamic team.
Role Impact
The Risk Governance Lead will play a key role in driving divisional objectives for data governance and implementing the safe and effective use of AI technologies. You will collaborate with cross-functional teams to drive risk management strategies and ensure ethical and secure practices in AI.
Key Responsibilities
- Partner Collaboration: Work with legal, technical, and business teams to communicate risk findings and drive informed decision-making.
- Risk Assessment and Remediation: Conduct comprehensive risk assessments of data management and AI projects and recommend mitigation strategies.
- Policy Development: Develop and maintain AI governance guidance, ensuring alignment across the organization with industry standards and regulatory requirements.
- Ethical AI Advocacy: Promote transparency, fairness, and accountability in AI practices.
- Security Support: Advise on data management practices and address AI-specific security risks in collaboration with security teams.
- Compliance Oversight: Ensure adherence to data and AI policies, offering guidance as needed.
- Training and Awareness: Develop and implement training to raise awareness of data management and AI risks and best practices.
- Metrics and Reporting: Partner in crafting appropriate KPIs, KRIs, and reporting to monitor risks in data and AI programs.
Qualifications
- 8+ years of relevant experience with a bachelor's degree or equivalent experience.
- 6+ years of experience in operational risk management, including exposure to technology risk, information risk, and/or model risk management.
- 2-5 years of management and leadership experience.
- Strong knowledge of Data Management best practices and AI technologies (e.g., machine learning, natural language processing, large language models, computer vision).
- Familiarity with relevant regulations (e.g., GDPR, CCPA) and industry guidelines (e.g., IEEE Ethically Aligned Design, NIST, ISO/IEC standards).
- Excellent communication and collaboration skills.
Key Success Factors
- Data-driven risk analysis.
- Adaptability and interpersonal skills.
- Proactive relationship-building.
- Risk-based decision-making focus.
- Strong problem-solving and execution abilities.
