At a Glance
- Tasks: Lead AI governance frameworks and ensure ethical AI use in a dynamic insurance environment.
- Company: Join a leading insurance organisation transforming with data and AI.
- Benefits: Competitive salary, hybrid work, and performance bonuses.
- Other info: Exciting opportunity for career growth in a highly regulated industry.
- Why this job: Shape the future of AI in insurance while managing risks and driving innovation.
- Qualifications: Experience in AI governance and strong data science background required.
The predicted salary is between 90000 - 120000 € 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 employer: VIQU IT
VIQU is an exceptional employer, offering a dynamic work environment in London that fosters innovation and ethical AI practices. With a strong focus on employee growth, the company provides opportunities for professional development within the rapidly evolving insurance sector, while promoting a hybrid work culture that balances flexibility with collaboration. Join us to be at the forefront of AI governance, where your contributions will directly impact the responsible use of technology in a highly regulated industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Governance Lead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in AI governance or related fields. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨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 challenges in previous roles, especially around risk management and compliance. Show them you’re the expert they need!
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each application. Highlight your relevant experience in insurance processes and AI governance in your conversations. This shows you understand their needs and are genuinely interested in the role.
✨Tip Number 4
Keep an eye on our website for the latest job openings. We often have exciting roles that might not be advertised elsewhere. Plus, applying through us gives you a better chance of getting noticed by the right people!
We think you need these skills to ace AI Governance Lead
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 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 projects or experiences that demonstrate your ability to manage AI-related risks and engage with senior stakeholders. Let us know what excites you about this opportunity!
Showcase Your Achievements:When detailing your past roles, focus on achievements rather than just duties. Quantify your successes where possible, like improvements in AI model performance or compliance rates. This helps us see the impact you've made in previous positions.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our team!
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 regulatory landscape.
✨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 relevant to insurance processes like underwriting and claims. This technical depth will set you apart.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would identify and mitigate AI-related risks, such as bias or privacy issues. Practising these scenarios will help you articulate your thought process during the interview.
