At a Glance
- Tasks: Lead AI governance initiatives, ensuring ethical and compliant AI use across the organisation.
- Company: Join a leading insurance firm driving data and AI transformation.
- Benefits: Competitive salary, bonus, hybrid work model, and career development opportunities.
- Other info: Exciting opportunity for growth in a dynamic and impactful role.
- Why this job: Shape the future of AI in a highly regulated environment while driving innovation.
- Qualifications: Experience in AI governance, data science, and strong stakeholder management skills.
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 an AI Governance Lead 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 AI Governance Lead:
- 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 AI Governance Lead:
- 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.
AI Governance Lead in London employer: VIQU IT
At VIQU, we pride ourselves on being an exceptional employer, particularly for the AI Governance Lead role in London. Our commitment to fostering a collaborative and innovative work culture is complemented by competitive salaries, bonuses, and opportunities for professional growth within a leading insurance organisation at the forefront of data and AI transformation. Join us to make a meaningful impact while working in a hybrid environment that values ethical AI practices and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Governance Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and AI sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI governance frameworks and regulatory requirements. Be ready to discuss how you’ve tackled AI-related risks in the past. We want to see your passion for ethical AI use shine through!
✨Tip Number 3
Showcase your experience with real-world examples. When discussing your background, highlight specific projects where you implemented AI governance or worked with data science teams. This will help you stand out as a candidate who can hit the ground running.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who can help us drive innovation while managing risk in the AI space.
We think you need these skills to ace AI Governance Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the AI Governance Lead role. Highlight your experience in AI governance, data science, and any relevant regulatory knowledge. We want to see how your background aligns with 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. Share specific examples of how you've managed AI governance or tackled challenges in regulated environments. Let us know your passion for the field!
Showcase Your Stakeholder Management Skills:Since this role involves working closely with senior stakeholders, make sure to highlight your experience in stakeholder management. We love to see how you've communicated complex ideas and driven innovation while managing risks in previous roles.
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!
How to prepare for a job interview at VIQU IT
✨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. Being able to discuss these confidently will show that you understand the landscape and can navigate it 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 will demonstrate your capability to operate at an executive level, which is crucial for this role.
✨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 well as the specific AI models you've worked with. This technical knowledge will be key in establishing your credibility.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios, especially around risk management and compliance. Think about past experiences where you identified and mitigated AI-related risks, and be prepared to explain your thought process and outcomes.
