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- Tasks: Lead AI governance, ensuring ethical and compliant AI use in a dynamic insurance environment.
- Company: Join a leading insurance organisation transforming with data and AI.
- Benefits: Competitive salary, hybrid work model, and performance bonuses.
- Why this job: Drive innovation while managing risk in a highly regulated industry.
- Qualifications: Experience in AI governance and strong understanding of insurance processes required.
- Other info: Engage with senior leaders and shape the future of AI in insurance.
The predicted salary is between 90000 - 110000 £ per year.
VIQU has partnered with a leading insurance organisation, undergoing significant data and AI transformation, as they continue to embed advanced analytics and AI capabilities across their business. They are now seeking a Head of AI Governance to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science, risk, and regulation, working closely with senior stakeholders to drive innovation whilst managing risk in a highly regulated environment.
Key Responsibilities of the Head of AI Governance:
- Define and implement the organisation's AI governance framework, aligned to business objectives and regulatory requirements.
- Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation.
- Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability.
- Develop governance models across key insurance use cases such as underwriting, pricing, claims, and fraud.
- Implement controls, monitoring, and audit processes for AI models and data usage.
- Ensure compliance with regulatory frameworks including GDPR, FCA guidelines, and emerging AI regulations.
- Monitor AI model performance, accuracy, and fairness, implementing continuous improvement processes.
- Develop reporting frameworks, dashboards, and governance metrics to provide visibility of AI risk and performance.
- Collaborate with data science, technology, and risk teams to embed governance into AI development and deployment lifecycles.
- Engage with senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities.
Essential Requirements of the Head of AI Governance:
- Proven experience leading AI or ML governance within insurance or financial services environments.
- Strong background in data science, machine learning, or AI, with hands-on experience earlier in career.
- Experience managing AI model development and deployment within regulated environments.
- Strong understanding of insurance processes such as underwriting, pricing, claims, or fraud.
- Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards.
- Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
- Ability to translate complex business challenges into AI-driven solutions.
- Strong stakeholder management skills, with experience operating at senior or executive level.
- Understanding of actuarial principles and insurance analytics is highly desirable.
- Relevant certifications in AI, machine learning, or data science would be advantageous.
To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant.
Head of AI Governance in London employer: VIQU IT Recruitment
Contact Detail:
VIQU IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI Governance in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, webinars, or even local meetups. The more you engage with others, the better your chances of hearing about opportunities that might not be advertised.
✨Show Off Your Expertise
Don’t just wait for interviews to showcase your skills. Share your insights on platforms like LinkedIn or even write articles about AI governance. This will position you as a thought leader and attract attention from recruiters.
✨Tailor Your Approach
When reaching out to potential employers, make sure to tailor your message to their specific needs. Highlight how your experience aligns with their goals, especially in areas like compliance and risk management in AI.
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We think you need these skills to ace Head of AI Governance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of AI Governance role. Highlight your experience in AI governance, data science, and any relevant regulatory knowledge. We want to see how your background aligns with the key responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific examples from your past that demonstrate your ability to manage AI-related risks and implement governance frameworks. We love a good story!
Showcase Your Stakeholder Management Skills: Since this role involves working closely with senior stakeholders, make sure to highlight your experience in stakeholder management. Share examples of how you've successfully communicated complex ideas to executive leadership in the past. We want to see your interpersonal skills in action!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved. We can’t wait to hear from you!
How to prepare for a job interview at VIQU IT Recruitment
✨Know Your AI Governance Frameworks
Make sure you’re well-versed in various AI governance frameworks and how they apply to the insurance sector. Brush up on GDPR, FCA guidelines, and any emerging AI regulations that could impact the role. This will show your potential employer that you’re not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Stakeholder Management Skills
Prepare examples of how you've successfully engaged with senior stakeholders in previous roles. Highlight your ability to communicate complex AI-related risks and opportunities clearly. This is crucial for a role that requires collaboration across different teams and levels of the organisation.
✨Demonstrate Your Technical Knowledge
Be ready to discuss your hands-on experience with data science and machine learning. Familiarise yourself with cloud platforms like Azure, AWS, or Google Cloud, as these are often integral to AI model development. Showing that you can bridge the gap between technical and regulatory aspects will set you apart.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific AI-related risks, such as bias or privacy issues. Think through real-world scenarios where you’ve had to assess and mitigate risks in a regulated environment. This will demonstrate your practical understanding of the challenges faced in AI governance.