Up Learn

Head of Data

Up Learn

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Job Level

Lead

About the role

  • Effectively prioritize the Data Team's workload, balancing the delivery of critical strategic initiatives with ongoing operational support and ad-hoc requests
  • Drive the successful execution of major data initiatives in collaboration with all relevant teams
  • Proactively seek ways for data to provide a strategic advantage
  • Cultivate and deepen a strong data-driven culture across Up Learn, enhancing data literacy and empowering all teams to leverage data effectively in their roles
  • Own the definition, evolution, and governance of company-level metrics (including North Star metrics), ensuring consistency across teams, tools, and reporting
  • Ensure that the metrics are actually used and embedded within the processes of all the teams at Up Learn
  • Ensure product instrumentation and success measurement are a standard part of shipping new features, enabling fast learning and early issue detection
  • Deliver clear, decision-ready insights on go-to-market performance, including funnel conversion, retention, and ROI by channel, partnering with commercial teams to close data gaps
  • Implement robust data governance practices, policies, and platforms to ensure trustworthiness of Up Learn's data
  • Establish processes and projects with data creators to ensure high source data quality
  • Collaborate closely with the Engineering team to ensure data considerations are embedded in product development
  • Enable the data team to deliver actionable analytics to all the teams at a sufficient level of quality
  • Establish a proactive insights generation process to deliver valuable insights to the Leadership team and the Heads of Department
  • Encourage and guide the exploration and application of modern data techniques (including AI/ML/LLMs where valuable) to unlock deeper insights and create innovative data solutions
  • Support Product teams with robust analytics for A/B testing
  • Lead, mentor, and develop the Data Team, fostering a culture of high performance and cultural alignment
  • Clearly define and manage roles, responsibilities, and growth trajectories within the data team to ensure individual and team success
  • Re-engineer and automate analytics, reporting, and operational workflows using AI and data tooling so a small team can deliver outsized impact fast (while keeping critical user-data risks controlled)
  • Define and execute the data strategy
  • Set a clear vision and roadmap for the data team, covering analytics, data engineering, experimentation, and governance, aligned to company goals
  • Lead the design and implementation of scalable data models, pipelines, and metrics required to successfully enter and grow in the GCSE market
  • Partner closely with the leadership team and functional heads to ensure data is central to strategic, commercial, and product decisions
  • Own the second iteration of analysis linking Up Learn engagement to A-Level and GCSE attainment, generating robust, credible insights that inform product, pedagogy, and external credibility
  • Strengthen the product analytics function to enable clear, data-driven prioritisation, experimentation, and evaluation of product features and learning interventions
  • Own quarterly data team planning through OKRs, ensuring focus on the highest-impact initiatives and strong delivery
  • Manage, mentor, and develop the data team (currently 2), supporting performance, career progression, and future team scaling

Requirements

  • Hands-on experience working on data modelling and analytics engineering using the dbt ecosystem
  • Experience establishing data governance processes and policies
  • Experience working on product analytics and A/B testing
  • Experience in running statistical tests (t-test, chi-square, ANOVA, AnCoVa, logistic regressions, ordinal logistic regressions, etc) and a deep understanding of when each of them are appropriate.
  • Experience managing small data teams, defining annual goals and quarterly priorities and balancing short term goals with long term progress.
  • Excellent communication and interpersonal skills
  • A deep passion for learning and growth - you thrive in a culture of feedback, giving and receiving it
  • Bonus points for: Experience running on-field research projects
  • Experience of running learning analytics in education domain
Benefits
  • Awesome colleagues! We’ve put together a cracking team, and you’ll be a part of it and shape its future
  • Meaningful, fulfilling and engaging work that has an immediate positive impact on tens of thousands of students and the potential to impact millions of students
  • The opportunity to build the future of education and accelerate humanity’s ability to learn
  • Tons of opportunities to learn and develop a wide range of skills
  • Up Learn supports a hybrid working environment with a minimum of two days in the office per week (one team day and one company day) and the rest is up to you!
  • A competitive salary
  • Meaningful stake in the company’s growth and success (equity share options)
  • ~35 days of paid holiday per year made up of: 26 days of bookable holiday, plus bank holidays, plus unlimited ‘extra days’ (i.e. if you need a few more days, no problem)
  • Significantly enhanced parental leave
  • Level 6 (highest level) dental insurance
  • Paid-for coffee breaks (a great chance to get to know the team)
  • Monthly & quarterly paid-for socials and quality time with your work colleagues as well as an in-office shower room to make sporting activities easier to join
  • A spacious and bright private office in Old Street, with delicious coffee, a selection of teas and unlimited snacks and drinks
  • Cycle-to-Work: we are registered so you can buy a bike and accessories tax-free
  • Unlimited budget for any work-related books you need
  • Family access to Up Learn: your family and close relatives get unlimited access to any Up Learn course for free!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data modelinganalytics engineeringdbtdata governanceproduct analyticsA/B testingstatistical testslogistic regressiondata pipelinesdata strategy
Soft Skills
communicationinterpersonal skillsleadershipmentoringteam managementcollaborationproblem-solvingstrategic thinkingadaptabilitypassion for learning