Education & Experience: - Bachelor’s or Master’s degree in a field such as Computer Science, Data Science, Ethics, Law, or a combination of technology and law.
- 5 - 7 years of relevant experience.
Technical skills requirements - Strong Understanding of Ethical Considerations:Deep understanding of ethical considerations and potential risks associated with AI.
- Regulatory Knowledge:Familiarity with relevant AI regulations and compliance requirements across major jurisdictions.
- Technical Knowledge:Familiarity with data science and/or machine learning, Generative AI concepts is a must.
- Communication Skills:Excellent communication and interpersonal skills, with the ability to build relationships and influence diverse stakeholders.
- Analytical Skills:Analytical and problem-solving skills, with the ability to identify and mitigate risks.
- Project Management:
Responsibilities: - Risk Assessment:Conduct risk assessments to identify potential ethical, legal, and reputational risks associated with AI use.
- Product AI Certifications:Lead and obtain internal AI certifications for in-house AI products
- Regulatory Compliance:Stay updated on the latest AI regulations and compliance requirements, ensuring product adherence.
- Stakeholder Collaboration:Collaborate with internal stakeholders (e.g., engineers, data scientists, product managers) to integrate AI governance principles into project development and deployment.
- Monitoring and Auditing:Monitor and audit compliance of products with AI policies and procedures.
- Metrics Development:Develop and implement metrics to track and measure the effectiveness of AI governance initiatives.
- Communication:Communicate complex AI governance issues clearly and concisely to both technical and non-technical audiences.
- Ethical Development:Champion the ethical development and implementation of AI models, ensuring adherence to regulatory guidelines.
- Continuous Learning:Foster a culture of continuous learning and awareness around AI regulations and compliance within the organization.
Additional skills requirements:
- Interest in Politics and Legislation:Strong interest in politics and legislation within data and AI.
- Data Governance Frameworks:Familiarity with data governance frameworks.
- Law Practices Exposure:Exposure to law practices.
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