At a Glance
- Tasks: Lead the global Data & AI Governance framework and ensure responsible data usage.
- Company: Join a forward-thinking company focused on innovation and compliance.
- Benefits: Competitive salary, professional development, and a chance to shape the future of data governance.
- Other info: Dynamic environment with opportunities to influence senior stakeholders.
- Why this job: Make a real impact in a high-stakes role that drives innovation while ensuring compliance.
- Qualifications: 10+ years in data governance with strong knowledge of GDPR and AI frameworks.
The predicted salary is between 80000 - 100000 £ per year.
Join Our Team
We are seeking a strategic leader to shape and operationalise our global Data & AI Governance framework. This is a high-impact role ensuring that data and AI are trusted, compliant, and leveraged responsibly across underwriting, claims, finance, and beyond—unlocking innovation while maintaining rigorous control.
Key Responsibilities
- Design and lead the enterprise Data Governance operating model
- Chair Data & AI Governance Committees and influence senior stakeholders
- Establish policies across data classification, quality, retention, and access
- Build and implement AI governance aligned to EU AI Act, GDPR, and global regulations
- Oversee model risk management, AI lifecycle governance, and third-party AI usage
- Drive data quality, metadata management, and lineage transparency
- Partner with architecture, cybersecurity, and business teams to embed governance-by-design
- Enable self-service data and AI across domains
Experience & Skills
- 10+ years in data governance, risk, or data leadership roles
- Strong experience within insurance, reinsurance, or financial services
- Deep knowledge of GDPR, AI governance, and model risk frameworks
- Experience with governance tooling (e.g., Collibra, Purview, Erwin)
- Strong understanding of AWS-based data ecosystems
- Proven ability to influence across technical and business stakeholders
Sponsorship
We are unable to sponsor or take over sponsorship of an employment visa at this time.
Data & AI Governance Manager New London employer: Sirius Group
As a Data & AI Governance Manager in New London, you will be part of a forward-thinking organisation that prioritises innovation while ensuring compliance and trust in data usage. Our collaborative work culture fosters professional growth through continuous learning opportunities and engagement with senior stakeholders, making it an ideal environment for those looking to make a significant impact in the financial services sector. Enjoy the unique advantage of working in a vibrant city that offers a rich blend of professional and personal experiences.
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We think this is how you could land Data & AI Governance Manager New London
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We think you need these skills to ace Data & AI Governance Manager New London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sirius Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
