At a Glance
- Tasks: Lead data operations, ensuring smooth processes and team coordination in a fast-paced environment.
- Company: Join Multiverse, a pioneering upskilling platform transforming the workforce for the AI era.
- Benefits: Enjoy 27 days holiday, health perks, hybrid work, and a vibrant office culture.
- Other info: Be part of a diverse team committed to continuous improvement and personal growth.
- Why this job: Make a real impact by empowering teams and driving innovation in tech education.
- Qualifications: 6+ years in data operations and experience managing technical teams required.
The predicted salary is between 81000 - 99000 £ per year.
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era.
As Head of Data Operations, you will be the operational backbone of Multiverse's D&I team. You will ensure that our work is well planned, properly resourced and consistently delivered — while also coordinating the processes that keep the D&I team running smoothly, and directly managing and developing our Analytics Engineers and Analytics Developers. This role sits within the D&I team, reporting to the VP of Data & Insight. You will collaborate closely with our Director of Data Engineering and Domain D&I Leads, as well as engaging with company-wide processes and cross-functional teams. Success requires a highly organised, people-focused operator who thrives on bringing structure, clarity and momentum to a fast-moving technical team.
What you'll focus on:
- Deliverable Planning, Resourcing & Monitoring: Owning D&I's operational planning process — ensuring that projects and deliverables are properly scoped, clearly defined and appropriately resourced. Working with the Director of Data Engineering and Domain D&I Leads to translate roadmap priorities into well-structured plans with clear owners, timelines and dependencies. Monitoring progress against project milestones — proactively identifying risks, flagging blockers and coordinating solutions to keep work on track. Managing team capacity across Analytics Engineers and Analytics Developers — driving optimal allocation and dynamic reallocation of resource as priorities evolve.
- Team Process Coordination: Driving D&I's team ceremonies — including sprint planning, standups, retrospectives and quarterly planning sessions — ensuring they are well run and action-oriented. Owning the triage and coordination of inbound support requests from across the business — ensuring they are prioritised fairly, assigned appropriately and resolved in a timely manner. Representing D&I within Multiverse-wide planning and coordination processes — including contributing to the company roadmap process and engaging with Tech and Ops support functions on behalf of the team. Maintaining D&I's team tooling (e.g. Asana, Claude) to ensure work is well tracked, visible and up to date. Acting as a key point of coordination across the D&I team — keeping communication flowing, reducing friction and helping the team focus on high-impact work.
- Process Improvement & Standardisation: Identifying and implementing improvements to D&I's ways of working — making our delivery processes more consistent, efficient and scalable. Developing and embedding operational standards and best practices across the team — including how we scope work, manage handoffs and document outputs. Building and maintaining playbooks and templates that help the team deliver consistently high-quality work with less overhead. Tracking D&I's own operational metrics (e.g. project velocity / support throughput) to drive ongoing improvement.
- Team Coaching & Development: Directly managing approx Analytics Engineers and Analytics Developers — providing day-to-day guidance, support and oversight. Conducting weekly 1:1s and periodic development conversations, helping team members set meaningful goals and grow within their roles. Identifying skill gaps and coordinating appropriate learning opportunities — whether through formal training, peer learning or on-the-job stretch. Fostering a high-performance team culture built on accountability, collaboration and continuous improvement. Supporting the recruitment and onboarding of new Analytics Engineers & Analytics Developers as needed.
- Collaboration & Stakeholder Support: Acting as a reliable operational point of contact for internal stakeholders — managing expectations, communicating progress and helping to navigate competing priorities. Working closely with the Director of Data Engineering and Domain D&I Leads on cross-team prioritisation, resourcing and dependency management. Engaging with Multiverse's Tech and Ops teams to ensure D&I's ways of working are well integrated with broader organisational processes and standards. Supporting the VP of D&I on team-wide communications, planning and operational initiatives.
What we're looking for:
- 6+ years of experience in data, analytics or technical operations — ideally within a fast-growing tech scale-up or similarly fast-moving environment.
- 2+ years of experience directly managing and developing technical teams (e.g. Analytics Engineers, BI Developers or similar).
- Proven track record of owning delivery planning and operational coordination within a data or engineering function.
- Strong experience running team ceremonies and agile-style processes effectively.
- Experience triaging and managing inbound support requests across a multi-stakeholder environment.
- Experience engaging with company-wide planning processes (e.g. roadmap contribution, cross-functional coordination with Tech or Ops teams).
- Hands-on experience with project management tooling such as Asana, Jira or similar.
- A genuine passion for people development — with the ability to coach, challenge and support individuals at different stages of their careers.
- Highly organised with exceptional attention to detail and strong prioritisation skills.
- Clear, confident communicator — able to translate complex plans and issues for both technical and non-technical audiences.
- Pragmatic problem-solver who brings calm and clarity in fast-moving, ambiguous situations.
- Familiarity with modern data tooling and analytics workflows (specific technical depth not required, but confidence navigating a data-heavy environment is essential).
- Right to work in the UK.
- Ability to work from the Multiverse London office 3+ days per week.
- Commitment to Multiverse's mission and values.
Benefits:
- Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year.
- Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support.
- Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month.
- Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year.
- Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!
Our Commitment to Diversity, Equity and Inclusion: We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change.
Our Commitment to Safeguarding: Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Location: London
Employment Type: Full time
Location Type: Hybrid
Department: Data and Insight
Head of Data Operations in London employer: Multiverse Group
At Multiverse, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As an Engineering Lead in the vibrant tech hub of London, you'll benefit from exceptional growth opportunities, a commitment to innovation, and a supportive environment that values your contributions. Join us to shape the future of our platform while enjoying a collaborative atmosphere that prioritises team well-being and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Operations in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Multiverse Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Data Operations at Multiverse Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Multiverse Group.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data Operations at Multiverse Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Data Operations in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Multiverse Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Multiverse Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Multiverse Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Multiverse Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.