At a Glance
- Tasks: Lead the Data & AI Governance strategy and ensure effective data management across the organisation.
- Company: Join QBE, a global insurer with a human touch and a commitment to innovation.
- Benefits: Enjoy 30 days holiday, flexible working options, and a generous pension plan.
- Other info: Dynamic role with opportunities for professional growth and collaboration across teams.
- Why this job: Make a real impact in data governance while working with passionate and talented colleagues.
- Qualifications: Experience in data governance and strong stakeholder management skills required.
The predicted salary is between 60000 - 75000 £ per year.
The Opportunity
QBE Europe is currently recruiting a Data and AI Governance Manager to join a well-established Data COE team in our London office. QBE EO is on an ambitious journey to strengthen its Data, Analytics and AI capabilities, underpinned by enterprise-wide data & AI governance. As the use of advanced analytics and AI grows, strong governance, accountability, and regulatory alignment are essential. The Data & AI Governance Manager plays a key role in embedding these practices across QBE Europe, supporting the delivery of the Data & AI strategy to ensure data is managed consistently, risks are controlled, and policies are applied in practice. Working closely with business, technology, risk, and Group teams, you will drive the adoption of governance processes, tools, and ways of working, ensuring data is well understood, properly governed, and used responsibly. Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion.
Your new role
- Support the development and lead the execution of the Data & AI Governance strategy and roadmap, embedding governance frameworks, controls, and standards across the data and AI lifecycle.
- Lead the adoption and ongoing maturity of data governance tooling (Collibra), increasing adoption across business domains, and embedding consistent, scalable ways of working through targeted communications and training programmes.
- Establish and embed clear data ownership and stewardship models, defining roles, responsibilities, and accountability across business and technology teams.
- Define and track governance KPIs and success metrics, delivering clear, actionable reporting and insights to senior stakeholders and governance forums.
- Drive data risk management activities, including control design, RCSA support, issue remediation, and strengthening data risk awareness.
- Continuously enhance data governance frameworks, processes, and standards, ensuring they remain practical, business-aligned, and deliver measurable improvements in data quality and control.
- Build strong cross-functional relationships, partnering with business, technology, risk, and data teams to drive aligned outcomes.
- Develop and deliver clear, audience-specific communications and training, ensuring policies, standards, and procedures are well understood and consistently applied.
- Chair and facilitate data governance forums, councils, and working groups, driving effective decision-making, prioritisation, and issue resolution.
- Ensure compliance with enterprise and Group policies and regulatory expectations, including Data Management, AI Governance, Model Risk, and End User Computing standards.
About You
- Strong experience in data governance and data management within a complex organisation. Data Risk experience desired.
- Proven ability to define and deliver data governance strategies, frameworks, and roadmaps.
- Good understanding of data risk, controls, and regulatory requirements applicable to the insurance industry.
- Experience with data governance tools (e.g. Collibra) and driving their adoption.
- Strong stakeholder management skills, with the ability to influence across business, technology, and senior leadership.
- Able to translate complex concepts into simple, clear guidance for different audiences.
- Experience leading teams and building collaborative, high-performing environments.
- Able to balance strategic thinking with hands-on delivery, while managing multiple priorities and driving continuous improvement.
Benefits
- 30 days holiday a year with the option to buy up to 2 additional days.
- Flexible working – balancing work and life; opportunities including part-time, job share and compressed hours.
- Pension – you are automatically enrolled into the QBE pension plan, with employer contributions of 10% of basic salary.
Equal Employment Opportunity: QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Data Governance Manager in London employer: QBE Europe
QBE Europe is an exceptional employer, offering a dynamic work environment in London where you can make a meaningful impact on data governance and AI strategies. With a strong focus on employee growth, QBE provides 30 days of holiday, flexible working arrangements, and a generous pension plan, all while fostering a collaborative culture that values passion and kindness among its diverse team. Join us to be part of an ambitious journey towards innovative risk management, where your contributions will be recognised and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at QBE. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by understanding QBE's values and how they align with your experience. Be ready to share specific examples of how you've tackled data governance challenges in the past.
✨Tip Number 3
Showcase your skills with real-life scenarios. When discussing your experience, highlight how you've driven data governance processes and improved data quality in previous roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining the QBE team.
We think you need these skills to ace Data Governance Manager in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data governance and management. We want to see how your skills align with the role of Data Governance Manager, so don’t hold back on showcasing your relevant achievements!
Showcase Your Skills:When writing your application, emphasise your experience with data governance tools like Collibra. We’re keen to know how you’ve driven their adoption in previous roles, so share specific examples that demonstrate your impact.
Be Clear and Concise:Keep your language straightforward and avoid jargon where possible. We appreciate clarity, so make it easy for us to understand your qualifications and how they relate to the responsibilities outlined in the job description.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at QBE!
How to prepare for a job interview at QBE Europe
✨Know Your Data Governance Stuff
Make sure you brush up on your data governance knowledge, especially around frameworks and strategies. Be ready to discuss how you've implemented these in past roles, as well as your understanding of tools like Collibra.
✨Showcase Your Stakeholder Skills
Prepare examples that highlight your ability to manage and influence stakeholders across different levels. Think about times when you’ve successfully communicated complex concepts to non-technical audiences.
✨Be Ready for Scenario Questions
Expect questions that ask how you would handle specific data governance challenges. Practise articulating your thought process and decision-making skills in these scenarios to demonstrate your strategic thinking.
✨Demonstrate Your Collaborative Spirit
Since this role involves working closely with various teams, be prepared to discuss how you’ve built strong cross-functional relationships in the past. Share examples of how collaboration led to successful outcomes in your previous roles.
