AI Governance Lead

AI Governance Lead

London Full-Time 72000 - 120000 £ / year (est.) No home office possible
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Forsyth Barnes

At a Glance

  • Tasks: Lead the development of AI governance frameworks and ensure GDPR compliance in AI systems.
  • Company: Join a cutting-edge FinTech company at the forefront of AI innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Stay ahead of emerging AI regulations and shape the future of responsible AI use.
  • Why this job: Make a real impact on data protection while working with diverse teams in a dynamic environment.
  • Qualifications: Strong knowledge of GDPR, experience in data governance, and excellent communication skills required.

The predicted salary is between 72000 - 120000 £ per year.

Permanent Job Alert:

Location: London, Hybrid

Salary: Up to £100,000

Industry: FinTech

Key Responsibilities:

  • Develop and implement AI governance frameworks that align with GDPR principles, including data protection by design and by default.
  • Ensure lawful, fair, and transparent data processing in all AI systems, particularly regarding automated decision-making and profiling under Articles 13–22 of the GDPR.
  • Oversee Data Protection Impact Assessments (DPIAs) for AI use cases to identify, assess, and mitigate privacy risks.
  • Collaborate with Data Protection Officers (DPOs), legal teams, and technical leads to ensure GDPR-compliant AI development and deployment.
  • Monitor AI systems for compliance with GDPR over time, including auditability, explainability, and data subject rights (e.g., access, rectification, erasure).
  • Lead training and awareness programs to build organizational understanding of AI risks and GDPR responsibilities.
  • Stay updated on regulatory developments in AI and data protection (e.g., EU AI Act) and adjust governance policies accordingly.

Requirements:

  • Strong knowledge of GDPR and related privacy laws, particularly as they apply to AI, automated decision-making, and data subject rights.
  • Experience in data governance, compliance, or risk management, preferably in contexts involving AI, machine learning, or advanced analytics.
  • Familiarity with AI/ML technologies and lifecycle, including how data is collected, processed, and used in model training and inference.
  • Proven ability to conduct or oversee Data Protection Impact Assessments (DPIAs) and implement data protection by design and default.
  • Excellent cross-functional collaboration skills, with experience working across legal, compliance, IT, and data science teams.
  • Strong communication and training skills, with the ability to explain complex technical and legal concepts to diverse stakeholders.
  • Up-to-date understanding of emerging AI regulations, such as the EU AI Act, and ability to anticipate their impact on governance policies.
Forsyth Barnes

Contact Detail:

Forsyth Barnes Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Governance Lead

✨Tip Number 1

Network with professionals in the FinTech and AI governance sectors. Attend industry events, webinars, or meetups to connect with people who are already working in roles similar to the AI Governance Lead. This can provide you with insights into the role and may even lead to referrals.

✨Tip Number 2

Stay updated on the latest developments in GDPR and AI regulations. Follow relevant blogs, podcasts, and news sources to ensure you’re well-informed about changes that could impact AI governance. 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 data protection measures in previous roles. Be ready to explain your experience with Data Protection Impact Assessments (DPIAs) and how you’ve collaborated with cross-functional teams to ensure compliance with GDPR.

✨Tip Number 4

Familiarise yourself with the AI technologies and tools commonly used in the industry. Understanding the technical aspects of AI and machine learning will allow you to engage more effectively with technical teams and demonstrate your capability to oversee AI governance.

We think you need these skills to ace AI Governance Lead

Strong knowledge of GDPR and privacy laws
Experience in data governance and compliance
Risk management skills
Familiarity with AI/ML technologies
Ability to conduct Data Protection Impact Assessments (DPIAs)
Understanding of data protection by design and default
Cross-functional collaboration skills
Excellent communication skills
Training and awareness programme development
Up-to-date knowledge of emerging AI regulations
Ability to explain complex concepts to diverse stakeholders
Monitoring and auditing skills for compliance
Analytical thinking
Adaptability to regulatory changes

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with GDPR, AI governance, and data protection. Use specific examples that demonstrate your knowledge of compliance and risk management in AI contexts.

Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about AI governance and how your skills align with the job requirements. Mention your familiarity with AI/ML technologies and your experience in conducting Data Protection Impact Assessments.

Showcase Collaboration Skills: Emphasise your ability to work cross-functionally. Provide examples of past collaborations with legal, compliance, IT, and data science teams, highlighting how you contributed to successful outcomes.

Stay Current on Regulations: Demonstrate your up-to-date understanding of emerging AI regulations, such as the EU AI Act. Mention any relevant training or research you've undertaken to stay informed about changes in the regulatory landscape.

How to prepare for a job interview at Forsyth Barnes

✨Showcase Your GDPR Knowledge

Make sure to highlight your understanding of GDPR principles during the interview. Be prepared to discuss how these principles apply specifically to AI governance and automated decision-making, as this is crucial for the role.

✨Demonstrate Cross-Functional Collaboration

Since the role requires working with various teams, share examples of past experiences where you successfully collaborated with legal, compliance, IT, or data science teams. This will show your ability to work effectively across different functions.

✨Prepare for DPIA Discussions

Be ready to explain your experience with Data Protection Impact Assessments (DPIAs). Discuss how you've identified and mitigated privacy risks in previous roles, as this is a key responsibility for the position.

✨Stay Updated on AI Regulations

Familiarise yourself with the latest developments in AI regulations, such as the EU AI Act. Being able to discuss these changes and their implications for governance policies will demonstrate your proactive approach and commitment to the field.

AI Governance Lead
Forsyth Barnes
Location: London
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