At a Glance
- Tasks: Lead a high-performing Analytics team to drive data strategy and influence business decisions.
- Company: Join Pearson, a global leader in lifelong learning and innovation.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work in a supportive culture that values empathy and diverse working styles.
- Why this job: Shape the future of data-driven decision-making in a collaborative environment.
- Qualifications: Experience in data analytics, team leadership, and translating insights into business value.
The predicted salary is between 66150 - 80850 £ per year.
Reports to: Head of Data
Leads: an established Analytics team
Location: London office, three days a week (in-person role)
Why this role exists:
We are a multi-million-pound business where data shapes the moments that matter most, from Results Day to the contractual and regulatory returns that carry our commitments. Our Analytics team is mature and high-performing: technically excellent, highly automated, trusted with our most critical delivery, and dependable when it matters most. This role exists because a foundation this strong can be reaching even further than it currently does. We want data to be something the business is genuinely led by, present in more decisions, more functions, and more of how the organisation runs day to day. We are hiring a leader to guide that.
You will own our Analytics strategy and lead the team that delivers it, within the wider data strategy set by the Head of Data. Your job is to take an already excellent team and extend its reach and influence across the business.
What you're walking into:
- A strong, mature team. The specialists are excellent and the delivery engine is highly automated and reliable. You are not inheriting a mess to clean up. You are inheriting a capable team that is ready to be pointed outward and led somewhere new.
- Critical delivery that has to land. Results Day and our contractual and regulatory returns are immovable and high-consequence. Protecting them reliably is a given, not the ambition.
- New capability to harness. The team's maturity is the ideal base from which to adopt new tools and ways of working, including AI, that extend what it can offer the business. Turning that potential into governed, everyday practice is yours to shape.
Your primary mandate: drive the power and value of data further into the business.
In a business where data already informs decisions of real financial and reputational weight, the biggest gains now come from reach, not from efficiency the team has already won. You will:
- Get data into more decisions and more corners of the business, turning functions into fluent, habitual consumers of insight.
- Make insight something the business leads with rather than checks after the fact, shaping decisions before people think to ask.
- Grow demand, trust and data literacy across the business, so the pull for data increases and the team is sought out as a strategic partner rather than a service.
- Speak the language of value: quantify impact, understand the cost of what the team runs, and make the commercial case for investment where it pays back.
- Feed what you learn on the front line back into the wider data strategy, helping the business get ahead of its data needs rather than only answering them.
Adopting new tools and ways of working, including AI, is one of the sharpest levers for the mandate above, and you won't be starting from scratch. Within the team you already have AI leads driving work on AI tooling and agents who are ahead of the curve for the organisation. Your job is not to be the source of that expertise; it is to harness and amplify it. You will give these specialists the support and the connection to real business problems that turn their work from promising into genuinely valuable, set a pragmatic view of where it pays off, and make sure it is adopted responsibly, with the governance, explainability and fairness a regulated environment demands.
You don't need to be the deepest technologist in the room; you have people for that. You need the judgement to spot where their work creates value, and the credibility and influence to take it to the business and bring the team with you.
What you'll own:
- Analytics strategy: You set the strategy for Analytics across the business and are accountable for delivering it, nested within the overall Data Strategy: where the team invests, what it stops doing, and how it grows its value.
- Critical delivery: You are accountable for the team's immovable commitments, Results Day chief among them, landing reliably and to a high bar of quality and integrity.
- The team, and its people: You lead an established team of Analytics specialists at a range of levels, from early-career analysts to senior people ready for their next step. You lead by direction and stretch, not instruction. A core part of the role is developing each of them on their own terms: bringing the junior analysts on with structure and craft, and giving your senior people the stretch, ownership and progression that make staying and growing here the obvious choice. You own their performance, their growth, and the retention of talent this good.
- The business relationship: You are the bridge between a deeply technical team and the wider business, shielding the team from noise, translating need into priorities and results into decisions, and building the senior relationships that turn Analytics from a service into a partnership.
What success looks like:
In your first 90 days: you understand the team, the critical delivery calendar and the stakeholder landscape; the essentials are safe in your hands; and you have a clear, credible view of where data needs to reach next.
By 6 to 12 months: critical commitments including Results Day have landed reliably; data is visibly reaching further into the business, with under-engaged functions starting to pull for it; and the team has begun adopting new ways of working that extend what it can offer.
Beyond the first year you are judged on outcomes: how widely and how much data is used and trusted across the business, the demonstrable value and return from what the team delivers, the reliability of critical delivery, and the growth and retention of your specialists.
What you'll bring:
- The credibility to lead and earn the trust of experienced technical specialists, whether you built that managing a team directly or leading experts through influence, and the readiness to lead this team directly.
- Emotional intelligence and self-awareness: you build psychological safety, adapt to how different people do their best work, and lead through trust rather than pressure.
- A strong track record of aligning data to business outcomes and driving its value, quantifying impact and making the commercial case.
- A genuine track record of developing people across a range of levels: bringing early-career talent on, and stretching and retaining senior specialists ready for more.
- Business fluency, and confident translation between business need and technical delivery.
- The judgement to adopt new tools and ways of working, including AI, where they add real value, and to do so responsibly.
You won't have followed one obvious path to this role, and that's fine. If you've led through product ownership and influence rather than a long line-management history, and you're ready to lead a team directly, we want to hear from you.
How you'll lead, and the culture you'll join:
Ours is a warm, collaborative and people-first culture, and we care as much about how things get done as what gets delivered. You lead with empathy and emotional intelligence, build psychological safety, and create an environment where a range of working styles and strengths thrive. You pair that warmth with resolve: you can hold delivery under real pressure and have the honest conversation when it helps, without ever making it personal or making people feel unsafe. Kind and steady, not soft.
This is an in-person role. We work together from our London office on average three days a week, because this kind of team and culture is built face to face.
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing.
Team Manager, Data Analytics & Business Intelligence in London employer: Pearson
Pearson Edexcel is an excellent employer that values the expertise of its staff, offering a flexible ad-hoc role that allows for a balanced work-life dynamic. With a strong commitment to professional development, employees have access to resources and training that enhance their skills while contributing to the educational success of students in the North East. The supportive work culture fosters collaboration and innovation, making it a rewarding environment for those passionate about education.
StudySmarter Expert Advice🤫
We think this is how you could land Team Manager, Data Analytics & Business Intelligence in London
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We think you need these skills to ace Team Manager, Data Analytics & Business Intelligence 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Pearson. 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 Pearson
✨Brush Up on Your Statistics
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✨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.