Analytics Engineering Director

Posted 11 Days Ago
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London, Greater London, England, GBR
Hybrid
Senior level
Food • Logistics • Transportation
The Role
The Analytics Engineering Director will lead the analytics engineering team, defining the data strategy and managing global experts to improve data governance and quality, ensuring analytics drives decisions across the organization.
Summary Generated by Built In
Analytics Engineering Director

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 product, commercial and operations through experimentation, causal inference and machine learning.

From optimising rider dispatch to personalising customer journeys and forecasting demand at scale, we turn complex data into measurable business impact.

We’re looking for an Analytics Engineering Director to join our team in London. In this role, you’ll define the long-term vision for how we model and govern data, ensuring our global teams have the high-quality foundations needed to drive mission-critical decisions at scale.

About Our Analytics Organisation

We have an outstanding analytics organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company, in product, business and platform teams and are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.

Analytics Engineering is a core pillar of our Analytics Organisation, alongside Data Science, with over 100 Analytics Engineers across the UK, Europe, India and the US.

Our Analytics Engineers are embedded directly within product and business domains, giving them clear context and ownership, while operating with common design principles and ways of working within each company.

We operate at significant scale and complexity. Our data platform processes hundreds of Terabytes per day and powers everything from self-serve analytics and experiments through to executive reporting and strategic planning.

What You’ll Be Doing

You’ll be leading the Analytics Engineering team. This organisation is the foundation of our data ecosystem, bridging the gap between raw engineering outputs and actionable business insights. You'll lead a global team of experts dedicated to building scalable, high-quality data products that serve the entire business.

Here’s what your day-to-day might look like:

  • Define and execute the global vision and roadmap for analytics engineering, in particular evolving our data strategy to be AI first

  • Lead a high-performing organisation, managing globally to foster a culture of technical excellence, delivery, and continuous growth

  • Partner closely with senior stakeholders across Product, Engineering, and the Business to ensure analytics is embedded in every decision

  • Drive "Data as a Product", owning the evolution of our data models and semantic layer, ensuring teams can reliably self-serve from high-quality data products

  • Champion governance and guardrails, establishing rigorous standards for modelling, semantics, testing, and auditability to ensure our data products are trusted and reliable.

  • Maintain technical depth, staying hands-on enough to review SQL/data models, guide architectural decisions, and troubleshoot high-priority incidents when needed.

What You’ll Need to ThriveEssential
  • Significant experience leading large, global analytics or data engineering organisations within complex, high-growth environments

  • Proven ability to define and execute long-term technical strategies across BI, data modelling, reporting, and the intersection of analytics and AI.

  • Deep technical credibility, with a strong command of SQL and experience with modern data architectures and technologies.

  • Exceptional stakeholder management skills, with the ability to influence at the executive level and navigate organisational ambiguity with confidence.

  • A "metrics-first" mindset, with a focus on ensuring technical execution translates into measurable business impact.

  • A strong bias for action, with the ability to move quickly, deliver impact, and iterate based on feedback

Nice to Have
  • Experience building internal BI platforms or self-service ecosystems that empower non-technical users.

  • Familiarity with AI-forward analytics, such as AI-assisted querying or leveraging LLMs to improve data productivity.

Why Join Us?

At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:

🔧 Solve meaningful problems at real scale

Work on a complex, always-on marketplace that impacts millions every day.

🌱 See your impact, fast

Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.

🧠 Grow through challenge and ownership

Take on big, ambiguous problems and accelerate your career with strong support.

🌎 A culture built for builders

High standards, collaboration, flexible working and continuous learning.

💰 Share in the success you help create

Competitive salary and equity options, so you’re rewarded for the impact you make.

Our Global Structure

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

Diversity, Equity and Inclusion

At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.

We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.

If you have a disability or long-term health condition and need support to apply for one of our roles, or if you require any reasonable adjustments during the recruitment process, please contact our recruitment team at [email protected] and we’ll be happy to help ensure you have a fair and equitable experience.

If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!

#LI-DP1

Skills Required

  • Significant experience leading large global analytics or data engineering organizations in complex environments
  • Proven ability to define and execute long-term technical strategies across BI, data modelling, and analytics
  • Deep technical credibility with strong command of SQL and modern data architectures
  • Exceptional stakeholder management skills to influence at the executive level
  • Metrics-first mindset focusing on technical execution and measurable business impact
  • Strong bias for action to deliver impact and iterate based on feedback
  • Experience building internal BI platforms or self-service ecosystems
  • Familiarity with AI-forward analytics concepts
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The Company
London
9,074 Employees
Year Founded: 2013

What We Do

Deliveroo is an award-winning delivery service founded in 2013 by William Shu and Greg Orlowski. Deliveroo works with approximately 176,000 best-loved restaurants and grocery partners, as well as around 150,000 riders to provide the best food delivery experience in the world. Deliveroo is headquartered in London, with offices around the globe. Deliveroo operates across 10 markets, including Belgium, France, Hong Kong, Italy, Ireland, Qatar, Singapore, United Arab Emirates, Kuwait and the United Kingdom.

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