Data Governance Manager in London

Data Governance Manager in London

London Full-Time 60000 - 75000 £ / year (est.) No working from home possible
QBE Insurance Group Limited

At a Glance

  • Tasks: Lead data governance strategy and ensure responsible data management across the organisation.
  • Company: Join QBE Europe, a forward-thinking company focused on data and AI governance.
  • Benefits: Enjoy 30 days holiday, flexible working options, and a generous pension plan.
  • Other info: Dynamic hybrid role with opportunities for professional growth and collaboration.
  • Why this job: Make a real impact in data governance while working with cutting-edge technology.
  • Qualifications: Experience in data governance and strong stakeholder management skills required.

The predicted salary is between 60000 - 75000 £ per year.

QBE Europe is 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.

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 – including part-time, job share and compressed hours.
  • Pension – automatic enrolment into the QBE pension plan with employer contributions of 10% of basic salary.

Data Governance Manager in London employer: QBE Insurance Group Limited

QBE Europe is an exceptional employer, offering a dynamic and supportive work environment in the heart of London. With a strong focus on employee growth, flexible working arrangements, and a commitment to fostering a culture of collaboration and innovation, QBE empowers its employees to thrive while contributing to the ambitious Data & AI governance strategy. The company also provides generous benefits, including 30 days of holiday and a robust pension plan, making it an attractive choice for professionals seeking meaningful and rewarding careers.

QBE Insurance Group Limited

Contact Details:

QBE Insurance Group Limited Recruitment Team

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, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their data governance practices and be ready to discuss how your experience aligns with their needs. Show them you’re not just another candidate!

Tip Number 3

Practice your pitch! Be clear about your skills and how they relate to the role of Data Governance Manager. Highlight your experience with tools like Collibra and your ability to drive governance processes.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Data Governance Manager in London

Data Governance
Data Management
Data Risk Management
Data Quality Assessments
Data Stewardship
Stakeholder Management
Analytical Thinking

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. Use keywords from the job description to show that you understand what we're looking for.

Showcase Your Skills:Don’t just list your skills; provide examples of how you've successfully implemented data governance strategies or tools like Collibra in previous roles. We want to see your impact!

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. Remember, we appreciate simplicity and clarity in communication.

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’s super easy!

How to prepare for a job interview at QBE Insurance Group Limited

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, particularly in complex organisations like QBE.

Familiarise Yourself with Collibra

Since experience with data governance tools like Collibra is a must, take some time to understand its functionalities. If you’ve used it before, prepare examples of how you drove its adoption and improved data governance processes.

Show Off Your Stakeholder Skills

This role requires strong stakeholder management, so think of specific instances where you influenced decisions across different teams. Be prepared to share how you’ve built relationships and communicated complex concepts clearly.

Prepare for Scenario Questions

Expect questions that ask how you would handle specific data governance challenges. Think about potential risks and how you would design controls or improve data quality. Practising these scenarios can help you articulate your thought process effectively.