Digital - Senior

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

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: Strong project management skills and the ability to work independently and as part of a team.

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.

 

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

Experience Level

Senior Level