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- Tasks: Lead AI governance initiatives, ensuring compliance with legal and ethical standards.
- Company: Join a transformative company making a difference through technology for top brands.
- Benefits: Enjoy hybrid work flexibility and competitive pay in a dynamic environment.
- Why this job: Be at the forefront of responsible AI practices and make a real-world impact.
- Qualifications: Expertise in AI governance, risk management, and knowledge of GDPR and global regulations required.
- Other info: Opportunity to engage in cross-departmental collaboration and chair governance discussions.
The predicted salary is between 43200 - 72000 £ per year.
Location: London (Hybrid 3 days onsite per week)
Contract Type: 6-Month Contract
Start Date: Immediate
Rate: Competitive (Market Rates)
About Us: Join a purpose-led transformation company committed to making a meaningful difference through technology. We support some of the UK's and the world's most prominent brands in their digital journeys.
Role Overview: We are seeking an experienced AI Governance Lead to develop, implement, and maintain AI governance frameworks that ensure compliance with legal, ethical, and regulatory standards. This role involves cross-departmental collaboration, driving responsible AI practices, and overseeing risk management and policy development.
- Develop and implement AI governance strategies aligned with organizational goals and regulations.
- Translate legal and regulatory requirements into operational governance structures.
- Conduct responsible AI assessments and maintain AI inventories.
- Collaborate with cross-functional teams to integrate governance into compliance processes.
- Chair governance focus groups and drive discussions on responsible AI strategies.
- Represent the organization in regulatory forums.
- Provide expert advice on AI compliance to internal teams and clients.
Expertise in AI governance, risk management, and policy development. Deep knowledge of data governance principles, GDPR, and global AI regulations like the EU AI Act. Strong project management skills with the ability to handle complex initiatives. Experience in ethical AI practices, including bias mitigation and fairness assessments. Familiarity with emerging technologies like generative AI and machine learning applications. Good understanding of end-to-end AI model lifecycle management.
Desirable Skills: Ability to anticipate and mitigate risks in AI systems. Proficiency in creating training programs to foster ethical AI development across teams. Be at the forefront of AI governance and ethical AI implementation. Engage in projects that make a real-world impact.
Compliance and Regulatory Risk Manager employer: Queen Square Recruitment
Contact Detail:
Queen Square Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Compliance and Regulatory Risk Manager
✨Tip Number 1
Network with professionals in the AI governance and compliance field. Attend industry events, webinars, or local meetups to connect with others who are already working in this space. Building relationships can lead to valuable insights and potential referrals.
✨Tip Number 2
Stay updated on the latest developments in AI regulations and ethical practices. Follow relevant news sources, blogs, and thought leaders on platforms like LinkedIn. This knowledge will not only help you in interviews but also demonstrate your commitment to the field.
✨Tip Number 3
Prepare to discuss specific examples of how you've implemented AI governance frameworks or managed compliance risks in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your expertise and problem-solving skills.
✨Tip Number 4
Familiarise yourself with StudySmarter's mission and values. Understanding our purpose-led approach will help you align your answers during interviews and show that you're genuinely interested in contributing to our goals in AI governance.
We think you need these skills to ace Compliance and Regulatory Risk Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI governance, risk management, and compliance. Use specific examples that demonstrate your expertise in these areas, particularly any projects involving GDPR or the EU AI Act.
Craft a Compelling Cover Letter: In your cover letter, express your passion for ethical AI practices and how your background aligns with the company's mission. Mention your project management skills and any experience you have in developing training programs for teams.
Showcase Relevant Skills: Clearly outline your knowledge of data governance principles and your familiarity with emerging technologies like generative AI. Highlight any specific achievements related to bias mitigation and fairness assessments in AI systems.
Prepare for Interviews: If invited for an interview, be ready to discuss your approach to developing AI governance frameworks and how you would handle cross-departmental collaboration. Prepare examples of how you've represented organisations in regulatory forums or driven discussions on responsible AI strategies.
How to prepare for a job interview at Queen Square Recruitment
✨Understand AI Governance Frameworks
Make sure you have a solid grasp of AI governance frameworks and how they align with legal and ethical standards. Be prepared to discuss specific examples of frameworks you've worked with and how they can be applied in practice.
✨Showcase Your Project Management Skills
Highlight your project management experience, especially in complex initiatives. Be ready to share examples of how you've successfully managed projects related to compliance and risk management in the past.
✨Demonstrate Knowledge of Regulations
Familiarise yourself with key regulations such as GDPR and the EU AI Act. During the interview, be prepared to explain how these regulations impact AI governance and what steps you would take to ensure compliance.
✨Prepare for Ethical AI Discussions
Since ethical AI practices are crucial for this role, think about how you would approach bias mitigation and fairness assessments. Be ready to discuss your strategies for fostering ethical AI development within teams.
