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Head of Data Operations

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Multiverse
Full Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, IT Project Manager
Salary/Wage Range or Industry Benchmark: 70000 - 90000 GBP Yearly GBP 70000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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 Step Stone 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.

Summary

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.

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…
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