Job Opportunities API

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace. We're looking for a Senior Analytics Engineering Manager to join our London team. This is a hybrid role, with 3 days per week on-site. In this role, you'll help us scale our Analytics Engineering capability across multiple business domains, leading the teams that build the data products and metrics that power decisions across some of our most important business areas. ABOUT THE ANALYTICS ENGINEERING ORG Analytics Engineering is a core pillar of Deliveroo's Analytics organisation, alongside Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning. The discipline is evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across several important business domains, managing multiple AE Managers and their teams. As well as running these teams, you will help shape AE standards, culture and direction across the wider org. WHAT YOU'LL BE DOING - Lead multiple analytics engineering teams across several business domains, managing the AE Managers who run them and owning performance, development and wellbeing across the org. - Own the mid-to-long-term AE roadmap across your domains, identifying the highest-leverage investments and building the case for them with senior business and product stakeholders - Contribute to AE-wide decisions on tooling, architecture, standards and process, helping shape how Analytics Engineering works at Deliveroo beyond your immediate teams - Drive a data products mindset across your estate: clear ownership, SLAs, observability and data contracts built into how your teams work by default - Coach and develop the AE Managers in your org, supporting them through performance, motivation, and team health challenges, while fostering a culture of technical rigour and continuous improvement across your teams - Partner with Recruiting to hire strong, diverse AE talent across your domains WHAT YOU'LL NEED TO THRIVE ESSENTIAL - Significant experience in an Analytics Engineering, BI Engineering, or Data Engineering leadership role, with hands-on SQL foundations you still draw on - Proven experience managing managers as well as ICs, with a track record of developing the people managers in your org - Demonstrated ability to own a multi-quarter technical roadmap and manage teams across multiple business domains in a matrixed environment, with measurable business impact - Strong technical grounding across the modern AE stack (cloud data warehousing, transformation tooling, data modelling, and data quality practices), with the ability to engage credibly on architecture decisions and step in hands-on when needed - Confident engaging and influencing at Director/VP level, with experience aligning analytics investment to business priorities NICE TO HAVE - Experience in a marketplace, e-commerce, grocery or retail analytics context - Familiarity with federated data architecture patterns, semantic and metrics layer tooling, or Python for data automation and pipeline work - Exposure to or research of AI for Data, including semantic layers and pipeline development processes - Experience contributing to analytics organisational design: team structure, R&R boundaries and cross-functional alignment between AE, Data Science, and Data Engineering Why Join Us? At Deliveroo, you’ll do work that matters