Senior Analytics Engineering Manager

Analytics Engineering Manager · Senior · Full Time

London - The River Building HQGBP 120k – 180k1mo ago
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Role

What you'll do.

Deliveroo is seeking a Senior Analytics Engineering Manager to lead and scale their Analytics Engineering capability across multiple business domains in London. The role involves managing multiple teams, driving data product strategies, and shaping the future of analytics engineering within a complex, innovative food delivery marketplace.

Responsibilities

  • Team Leadership: Lead multiple analytics engineering teams across several business domains, managing AE Managers and ensuring team performance, development, and wellbeing
  • Strategic Roadmap Development: Own mid-to-long-term Analytics Engineering roadmap, identifying high-leverage investments and building strategic cases with senior stakeholders
  • Organizational Innovation: Contribute to company-wide decisions on tooling, architecture, standards, and processes to evolve Analytics Engineering practices
  • Data Product Management: Drive a data products mindset with clear ownership, service level agreements (SLAs), observability, and data contracts
  • Talent Development: Coach and develop Analytics Engineering Managers through performance management, motivation, and fostering a culture of technical rigor

Qualifications

What we look for.

Technical

  • Data Warehousing

    Strong experience with cloud data warehousing technologies and architectures

  • SQL Proficiency

    Advanced SQL skills with hands-on data manipulation and analysis capabilities

  • Data Transformation

    Expertise in data transformation tooling and modern Analytics Engineering stack

Education

  • Advanced Degree

    Bachelor's or Master's degree in Computer Science, Data Science, or related technical field preferred

Experience

  • Leadership Experience

    Proven track record of managing managers and leading technical teams in analytics or data engineering

  • Multi-domain Management

    Demonstrated ability to manage teams across multiple business domains in a matrix environment

Skills

Required

  • Leadership

    Ability to manage and develop teams of Analytics Engineering Managers

  • Technical Architecture

    Deep understanding of modern data engineering and analytics technologies

  • Strategic Communication

    Confident engagement and influence at Director/VP level

Preferred

  • Marketplace Analytics

    Nice to have

    Experience in e-commerce, grocery, or retail analytics contexts

  • AI Data Technologies

    Nice to have

    Familiarity with semantic layers, AI for data, and advanced pipeline development

Tech stack

Languages

SQLPython

Frameworks

dbt

Databases

Cloud Data Warehouses

Tools

Data Modeling Tools

Other

AI Data Tools

Compensation

Pay and benefits.

Base·GBP 120,000 – 180,000

Equity·Stock options

Benefits

  • Competitive Compensation

    Attractive salary with equity options reflecting impact and performance

  • Flexible Working

    Hybrid work model with 3 days per week on-site in London

  • Career Growth

    Opportunity to work in a dynamic, innovative environment with strong learning and development support

  • Global Collaboration

    Part of DoorDash global team with opportunities for cross-team and international engagement

Process

Interview steps.

  1. 01

    Initial Screening

    Phone or video call with recruiting team to assess background and initial fit

  2. 02

    Technical Interview

    Deep dive into technical skills, leadership experience, and analytics engineering expertise

  3. 03

    Leadership Assessment

    Interview focusing on management style, team development, and strategic thinking

  4. 04

    Stakeholder Interview

    Meeting with potential cross-functional leaders to evaluate strategic communication and influence

  5. 05

    Final Executive Interview

    Comprehensive discussion with senior leadership to assess overall organizational fit

Full posting

Original listing.

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, 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 require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can 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!

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