About the role
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 $1.7bn, the round makes us the UK’s first EdTech 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. 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. What You’ll Do Portfolio Strategy Data Product Roadmap: Own the development and iteration of a sub set 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. Product Development, Launch & Iteration 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 escalate risks to 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 What You’ll Bring 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 Preferred Skills and
