Analytical Engineering Manager Data Analytics Business Intelligence · London ·

Collinson is the global, privately-owned company dedicated to helping the world to travel with ease and confidence. The group offers a unique blend of industry and sector specialists who together provide market-leading airport experiences, loyalty and customer engagement, and insurance solutions for over 400 million consumers.

Collinson is the operator of Priority Pass, the world’s original and leading airport experiences programme. Travellers can access a network of 1,500+ lounges and travel experiences, including dining, retail, sleep and spa, in over 650 airports in 148 countries, helping to elevate the journey into something special. We work with the world’s leading payment networks, over 1,400 banks, 90 airlines and 20 hotel groups worldwide.

We have been bringing innovation to the market since inception – from launching the first independent global VIP lounge access Programme, Priority Pass to being the first to sell direct travel insurance in the UK through Columbus Direct and creating the first loyalty agency of its kind in the travel sector with ICLP. Today we still invest heavily in innovation to ensure that we continue to deliver superior customer experiences.

Key clients include Mastercard, American Express, Cathay Pacific, British Airways, LATAM, Flying Blue, Accor, EasyJet, HSBC, Chase, HDFC.

Our mission is focused on doing good beyond profit, which for us means we seek out opportunities for our people to share in our success and that we give back to the communities and people within which we work.

Never short of ambition, the success of our business is delivered through the diverse and talented team of over 2,200 global colleagues.

We are on a mission to elevate how data is modelled, governed, and used and we are now looking for an exceptional Analytical Engineering Manager to lead that charge.

In this critical leadership role, you’ll guide a team of analytics engineers as we design scalable, consistent, and business-aligned data models that serve as the foundation for insight, innovation, and personalised experiences.

You’ll be a bridge between technical depth and business relevance, partnering closely with our Principal Data Engineer and Data Engineering Manager to ensure our data platform evolves to meet the growing demands of a data-driven organisation.

Leadership & People Development

• Lead, mentor, and inspire a high-performing team of analytics engineers.
• Foster data craftsmanship by embedding standards, training, and structured career development.
• Co-own end-to-end data delivery from ingestion through to the analytical layer.
• Champion collaboration across data engineering, analytics, governance, and product teams.

Modelling Excellence

• Define and implement best practices in data modelling, naming conventions, documentation, and business logic.
• Lead the creation of subject-area models and semantic layers that power reporting, AI, and personalisation.
• Drive traceability, clarity, and trust in analytical data products — ensuring consistent use across the business.
• Translate complex business concepts into elegant, reusable data assets.

Strategic Influence & Collaboration

• Shape and deliver against the Data & Analytics roadmap, ensuring scalable analytical engineering practices.
• Represent analytical engineering in cross-functional forums, advocating for consistency, lineage, and alignment.
• Partner with data governance, data science, and BI teams to ensure analytical assets support both operational and strategic insight.
• Influence platform decisions alongside technical peers, ensuring scalability and sustainability in design.

• Proven leadership in analytics or data engineering teams within a modern cloud-based data platform.
• Strong foundation in data modelling principles, such as dimensional modelling and domain-driven design.
• Experience developing and governing semantic or analytical layers for enterprise analytics.
• Excellent communication and stakeholder management skills across business and technical teams.
• A deep passion for simplicity, clarity, and maintainability in data design.
• Proven ability to co-lead delivery and architecture with technical partners.

Desirable skills:

• Exposure to data contracts, metadata management, or governance frameworks.
• Experience supporting AI, machine learning, or personalisation use cases.
• Understanding of Agile delivery in modern data teams.
• Knowledge of how analytical engineering integrates into data product and self-service analytics strategies.

Collinson is an equal opportunity employer and welcomes differences in all their forms including colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, individuals with disabilities and people from all backgrounds, cultures and experiences as we strongly believe this contributes to our on-going success.

We are focused on continually evolving our purpose driven, high performing culture, providing an environment where our people have the opportunity to achieve their full potential and do interesting and meaningful work. Our company values are: Take Action, Do the right thing, One team and Be insight led. These help guide everything we do internally in terms of how we think, act and interact, right through to how we deliver value to our customers and clients.

In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).

If you need any extra support throughout the interview process, then please email us at