At a Glance
- Tasks: Lead the strategy and operations for Data & AI platforms, ensuring reliability and compliance.
- Company: Join QBE Europe, a forward-thinking company on a data-driven journey.
- Benefits: Enjoy 30 days holiday, flexible working options, and a generous pension plan.
- Other info: Dynamic role with opportunities for professional growth and innovation.
- Why this job: Make a real impact in shaping the future of data and AI at a global level.
- Qualifications: Proven leadership in data platforms and strong understanding of cloud ecosystems required.
The predicted salary is between 80000 - 100000 € per year.
QBE Europe is recruiting a Head of Data & AI Platforms & Engineering to join our Global Data team based in London. QBE EO is on an ambitious journey to strengthen and scale its Data, Analytics and AI capabilities. This role plays a critical part in establishing secure, resilient and scalable data and AI platforms that enable trusted business intelligence, advanced analytics and AI across the organisation.
This is a senior leadership role accountable for both the strategic evolution and the day‐to‐day operation of EO's data and AI platform estate. The role balances transformation delivery with stable business‐as‐usual operations, ensuring platforms are reliable, compliant and aligned to enterprise priorities.
Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion.
Your New Role
- Own the strategy and roadmap for Data & AI platforms, including data hubs, analytics and data consumption platforms.
- Define and implement data platform architecture, engineering standards and design patterns aligned to enterprise direction.
- Lead delivery of data platform change initiatives, balancing transformation with stable BAU operations.
- Own platform operations including reliability, performance, scalability and security.
- Establish, manage and report against SLAs and OLAs across data platforms and services.
- Ensure compliance with security, privacy and regulatory requirements across all data platforms.
- Implement frameworks for data quality, observability, lineage and metadata in partnership with governance teams.
- Oversee operational monitoring, incident management and continuous optimisation of platform services.
- Build and lead high‐performing data engineering and platform operations teams.
- Manage third‐party vendors and partners to ensure effective delivery and value for money.
About You
- Proven senior leadership experience in data platform, data engineering or analytics engineering roles.
- Deep understanding of modern data and AI platform architectures and cloud‐based ecosystems.
- Demonstrated experience delivering large‐scale data platform transformation and operating enterprise platforms.
- Strong understanding of data governance, security, risk management and regulatory compliance.
- Experience leading multi‐disciplinary teams and managing third‐party suppliers.
- Strong stakeholder management and influencing skills at senior levels.
- A pragmatic leadership style, balancing innovation with operational rigour.
Benefits
We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from:
- 30 days holiday a year with the option to buy up to 2 additional days.
- Flexible working – balancing work and life is important so our flexible working opportunities are open to all, it can include part-time, job share and compressed hours.
- Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary.
Skills
- Adaptability
- Business Management
- Coaching for success
- Critical Thinking
- Influencing
- Information Technology (IT) Infrastructure
- Information Technology (IT) Risk Management
- Intentional collaboration
- Managing performance
- Navigating ambiguity
- Process Improvements
- Strategic Agility
- Strategic Management
- Strategic Thinking
- Technology Strategy Development
Application Close Date 29/05/2026 11:59 PM
Equal Employment Opportunity QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Head of Data & AI Platforms & Engineering in London employer: QBE
QBE Europe is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration within the Data and AI sectors. With a strong commitment to employee growth, QBE provides extensive benefits including 30 days of holiday, flexible working arrangements, and a generous pension plan, ensuring a healthy work-life balance while empowering employees to lead transformative projects in a supportive culture.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data & AI Platforms & Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 and AI platforms, and think about how your experience aligns with their goals. This will help you stand out as a candidate who truly gets what they’re about.
✨Tip Number 3
Showcase your leadership skills! Be ready to discuss how you've led teams and managed projects in the past. Highlight your ability to balance innovation with operational rigour, which is key for a role like Head of Data & AI Platforms.
✨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 take that extra step to engage with us directly.
We think you need these skills to ace Head of Data & AI Platforms & Engineering in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership experience in data platforms and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how your vision aligns with our goals at QBE. Keep it engaging and personal – we love a good story!
Showcase Your Achievements:When detailing your past roles, focus on specific achievements rather than just responsibilities. Quantify your successes where possible, like improvements in platform performance or successful project deliveries. Numbers speak volumes!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at QBE
✨Know Your Data & AI Platforms
Before the interview, dive deep into the latest trends and technologies in data and AI platforms. Familiarise yourself with QBE's current strategies and how they align with industry standards. This will not only show your enthusiasm but also your readiness to lead their data initiatives.
✨Showcase Leadership Experience
Prepare specific examples from your past roles where you successfully led teams or projects in data engineering or analytics. Highlight your ability to balance transformation with stable operations, as this is crucial for the role. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand Compliance and Governance
Brush up on data governance, security, and regulatory compliance. Be ready to discuss how you've implemented frameworks for data quality and observability in previous positions. This knowledge will demonstrate your capability to manage risks effectively within QBE's data platforms.
✨Engage with Stakeholders
Think about how you would approach stakeholder management at a senior level. Prepare to discuss your influencing skills and how you've navigated complex relationships in the past. Showing that you can communicate effectively with various stakeholders will be key to your success in this role.
