About the role
(Hybrid)
Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale.
You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting.
You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week.
What you’ll be doing
- Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on.
- Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers.
- Powering production‑ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller‑facing experiences, without bespoke rework every time.
- Enabling AI‑assisted self‑serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI‑native experiences grounded in governed metrics, clear definitions, and reusable knowledge.
- Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products.
- Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed.
- Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution.
- Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams.
- Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions.
About you
- Platform leader at scale: You’ve led business‑critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable.
- Product‑mindful and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI.
- Confident with data‑powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences.
- Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape.
- Cross‑functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful.
- Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working.
- Strategic but sleeves‑rolled‑up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming.
We’re proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all.
