Company: Multiverse
Location: London
Posted: April 17th, 2026
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 June 2022, we announced a $220 million Series D funding round co‑led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post‑money valuation of $1.7 bn, the round makes us the UK’s first EdTech unicorn.
But we’re not 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.
The Portfolio Lead curates a world‑class UK apprenticeship product set focused on Data upskilling. Working as one of two dedicated leads within our Data vertical, you are a data‑literate strategist who isn’t shy about your passion for how data literacy, machine learning and advanced analytics are reshaping the workforce. You have a deep understanding of the data tooling market, both now and how it will continue to evolve.
Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings and influencing cross‑organisational decisions on how to maintain and improve programme retention and quality as we scale. You are the technical point of contact for GTM discovery, often supporting complex deal structures or tooling partnership meetings to maximise alignment between our data products and client needs. You also deeply understand what effective, high‑impact learning looks like in a technical data context and will support our Admissions, Delivery, Learning and Technology/Product teams to evolve their processes as we launch new products or improve our existing offerings.
As we release synchronous and blended learning models, you will be vital in quality‑assuring our products and supporting other members of the Learning team (such as Senior Programme Designers and Technical Learning Designers) to make the right choices to maximise learner engagement.
Data Product Roadmap: Own the development and iteration of a subset of our Data product offerings by analysing data (both internal and external) to improve net new bookings, customer retention and learner retention
Market Alignment: Validate our assumptions and competitor analysis in the market in partnership with Product Marketing, shaping how we communicate technical value and competitor positioning
Horizon Scanning: Stay ahead of the curve on data and tooling trends to identify new skills development pain points and opportunities
Investment Validation: Support GTM, Finance and our Delivery teams to scope custom data offerings, balancing market potential against the technical investment required.
Learning Squad Management and Prioritisation: work collaboratively with stakeholders across the business to create compliant apprenticeship curricula which meet learner and client needs. Use data and insights (qualitative and quantitative) to identify and prioritise opportunities for growth and improvement, including managing the backlog and prioritisation of improvements for wider Learning team members and teams external to Learning
Organisational enablement and readiness: support partners in Delivery, Admissions and Product to assess and enable the readiness of our systems and people to deliver a high quality learning experience
Proactive Risk Mitigation: Identify and elevate risks across all levels in the organisation, including C Suite, to ensure products remain on track to hit quality benchmarks.
Agile Feedback Integration: Establish and lead rigorous feedback loops for your products. You won't just "collect" feedback; you will find effective ways to synthesise what you are hearing from different sources including our own internal delivery teams, learners and clients
Expert Credibility: Serve as the internal and external "voice" of the data practitioner, building trust with technical leaders and stakeholders at all levels
Data Domain Expertise: A strong background in data upskilling with an existing network of experts and sources you trust to help you stay at the cutting edge—you understand the difference between a data warehouse and a data lake, and you know which libraries or tools are currently (or soon to be) essential for the modern data stack in a range of customer types
Product or Curriculum Launch Experience: Proven experience working with a broad cross‑functional group of stakeholders to launch learning products and their ongoing improvements
Confident Written and Oral Communication at all levels: You switch with ease from talking about the technical specifications of a new learning lab environment, to effectively raising a risk with the SLT on product performance, to convincing a Chief Data Officer on the ROI your products bring to his business metrics. You actively enjoy thinking about how to influence these different stakeholders
Ability to distinguish between signal and noise: You know how to make stakeholders feel heard whilst holding the line on what is right to prioritise and why. You effectively balance the need to improve learner experience with the practical realities of working with constrained resources
A strong vision for applied learning: you strongly believe in the power of apprenticeship and applied learning models to supercharge the acquisition of data skills and you bring vision and expertise both internally and externally to how to do this effectively
AI enabled practices: you are confident in building and using AI workflows to automate research, development and reporting tasks, and are excited about embracing AI to help you spend time on the tasks which most need your expertise
Relevant industry experience: work experience in a data aligned field such as Data Science, Analytics or Engineering
Instructional Literacy: Experience with cohort‑based or online content creation, specifically within technical or professional training
Experience working within regulated structures (e.g., UK Apprenticeship Levy) is a significant plus.
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!
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. Read our Equality, Diversity & Inclusion policy here.
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.
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