Head of Data & AI Platforms & Engineering

Head of Data & AI Platforms & Engineering

Full-Time 80000 - 100000 € / year (est.) Home office (partial)
QBE Europe

At a Glance

  • Tasks: Lead the strategy for Data & AI platforms and ensure their reliable operation.
  • Company: Join QBE, 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 QBE.
  • Qualifications: Proven leadership in data platforms and strong stakeholder management skills.

The predicted salary is between 80000 - 100000 € per year.

Location: London; Type: Permanent, full time; Flexible working: Happy to talk flexible working.

The Opportunity

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

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

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 employer: QBE Europe

QBE Europe is an exceptional employer, offering a dynamic work environment in London where innovation meets flexibility. With a strong commitment to employee growth, QBE provides extensive benefits including 30 days of holiday, a generous pension plan, and flexible working arrangements that cater to diverse lifestyles. Join a forward-thinking team dedicated to advancing data and AI capabilities, while enjoying a culture that values collaboration, strategic thinking, and operational excellence.

QBE Europe

Contact Detail:

QBE Europe Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data & AI Platforms & Engineering

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage, the better your chances of landing that Head of Data & AI Platforms & Engineering role.

Showcase Your Expertise

Don’t just talk about your skills; demonstrate them! Share insights on LinkedIn or write articles about data platforms and AI trends. This will position you as a thought leader and catch the eye of recruiters.

Ace the Interview

Prepare for those tough questions by practising your responses. Focus on your leadership experience and how you've driven data platform transformations. Remember, confidence is key!

Apply Through Our Website

Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who are proactive and genuinely interested in joining our team!

We think you need these skills to ace Head of Data & AI Platforms & Engineering

Data Platform Architecture
Data Engineering
Analytics Engineering
Cloud-Based Ecosystems
Data Governance
Security Compliance
Risk Management

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 to see your personality come through!

Showcase Your Achievements:When detailing your past roles, focus on specific achievements rather than just responsibilities. Use metrics where possible to demonstrate your impact, 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 important updates. Plus, it’s super easy!

How to prepare for a job interview at QBE Europe

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 initiatives and how they align with your experience. This will help you demonstrate your understanding of their needs and how you can contribute.

Showcase Leadership Experience

Prepare specific examples from your past roles that highlight your leadership skills in managing data engineering teams and delivering large-scale transformations. Use the STAR method (Situation, Task, Action, Result) to structure your responses and make them impactful.

Understand Compliance and Governance

Brush up on data governance, security, and regulatory compliance. Be ready to discuss how you've ensured compliance in previous roles and how you would approach these challenges at QBE. This shows you're not just technically savvy but also aware of the broader implications of data management.

Engage with Stakeholders

Think about how you've successfully managed stakeholders in the past. Prepare to discuss your strategies for influencing senior leaders and collaborating across departments. This is crucial for a role that requires balancing transformation with stable operations.