UK

United Kingdom · Operations · Principal/Manager (12-16 years)

Manager, Operations Intelligence

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  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports3-8 reports
  • Reports toDirector of Business Intelligence, Operations
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Head of Operations BI · Senior Manager, Data & Analytics (Operations) · Operations Analytics Lead

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 5 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 4 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 10 standards
NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 8 of 10 standards
OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 6 of 10 standards
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 3 of 10 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Practical Data Science NOCN Level 4 certificate for Data Analysts
Data Science Foundations OTHM Level 7 Diploma in Data Science

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Automation Fluency building AI into how work runs
Frontier Fluency the next wave, beyond mainstream AI
Your Plan Illustration

Built for Manager, Operations Intelligence

4 units that map to this job, from the qualifications that cover it.

  1. Introduction to Data Science and Big Data NCC Education Limited · covers 5 of 10 standards Level 5
  2. Data Analytics Pearson Education Ltd · covers 4 of 10 standards Level 5
  3. Practical Data Science NOCN · covers 8 of 10 standards Level 4
  4. Data Science Foundations OTHM Qualifications · covers 6 of 10 standards Level 7
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Manager, Operations Intelligence?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • AI-Powered Process Optimisation
  • Advanced Data Storytelling & Visualisation for Action
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Manager, Operations Intelligence plan as you set up, starting with the free Automation Fluency module. No card.

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3What this role really is

This job means leading a team that turns operational data into clear, usable insight for warehouses, logistics and supply chain teams. You manage the people who build the numbers behind operational decisions.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Power BI / Tableau (or similar BI platform) Expert

You'll set enterprise-wide visualisation standards, manage premium capacity/licensing, and evaluate new platforms. You'll also be able to jump in and troubleshoot complex DAX or Tableau calculations if your team gets stuck, and guide them on best practices for data storytelling.

SAP S/4HANA / Oracle NetSuite (or similar ERP) Advanced

You'll need to understand the underlying data structures and business process logic within the ERP. You'll partner with ERP architects on data strategy and influence the configuration of new modules to ensure data quality and accessibility for BI. Your team will be querying this daily, so you need to know its quirks.

Snowflake / Azure Synapse Analytics (or similar Data Warehouse) Advanced

You'll architect the data warehouse strategy for Operations, making build vs. buy decisions and overseeing data governance and security policies for your domain. You should be able to review complex SQL queries and guide your team on optimisation and data modelling best practices within the warehouse.

Alteryx (or similar ETL/Data Prep tool) Advanced

You'll set the enterprise strategy for data integration within Operations, evaluating and selecting ETL/ELT tools. You'll oversee the entire data pipeline architecture for your team, ensuring data quality and reliability from source to dashboard. You'll be able to review and troubleshoot complex workflows.

SQL & Python (pandas, NumPy) Advanced

You'll set SQL coding standards for your team and champion the use of Python for advanced analytics and ML applications within the Operations function. You should be able to review complex SQL queries, stored procedures, and Python scripts for efficiency, accuracy, and adherence to best practices. You'll also use these to do ad-hoc analysis when needed.

Jira / Azure DevOps & Confluence Advanced

You'll use these to manage your team's sprint backlog, track project progress, and ensure thorough documentation of data sources, logic, and business rules. You'll set standards for how your team uses these tools to maintain transparency and efficiency.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Team Project Prioritisation Follows assigned tasks; no prioritisation authority. Prioritises own tasks within a project; escalates conflicts. Prioritises workstreams within a project; consults lead on conflicts.
Technical Approach & Tool Selection Uses specified tools and methods. Chooses best approach for routine problems from approved methods. Designs and implements technical solutions; recommends new tools within scope.
Budget Allocation (Team) No budget authority. No budget authority. No budget authority, but can propose costs for projects.
Hiring & Performance Management No authority. No authority. Provides input on hiring and performance reviews.
Data Governance & Quality Standards Adheres to existing standards. Identifies data quality issues; proposes solutions. Designs and implements data quality checks for specific workstreams.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Team Project Delivery Rate
The percentage of agreed-upon BI projects (e.g., new dashboards, model enhancements) completed on time and to specification.
Target · 85%+

If your team committed to 10 major BI projects in Q1, and 9 were delivered on time and met requirements, that's a 90% delivery rate. We're looking for consistent execution.

Operational Efficiency Improvement
Quantifiable cost savings or efficiency gains directly attributed to insights or tools developed by your team, validated by Operations or Finance.
Target · Identify and validate £500K+ in annual savings

Your team's inventory optimisation model reduces holding costs by £150K in Q2. Or a new logistics routing dashboard saves £200K in fuel costs over six months. We need to see the numbers.

Data Adoption & Engagement
The number of unique active users on key Operations dashboards and the frequency of their engagement.
Target · Maintain >75% active user rate on core dashboards; 15% YOY increase in new dashboard adoption

If 80 out of 100 target users log into the 'Daily Warehouse Performance' dashboard at least twice a week, that's good. If a new 'Supplier Performance' dashboard sees 20% adoption in its first month, that's a solid start.

Team Attrition Rate
The percentage of your direct reports who voluntarily leave the team.
Target · <10% annually

If you have a team of 6 and one person leaves in a year, that's 16.7%. We want to keep our talent, so low attrition shows you're building a good environment.

Stakeholder Trust & Influence
How much Operations leaders rely on your team's insights for critical decisions and proactively involve you in strategic planning.
  • You'll be regularly invited to Operations leadership meetings. Your team's data will be the starting point for discussions, not an afterthought. Operations VPs will come to you for advice before making big calls, and they'll openly praise your team's contributions. They'll also defend your team when others try to push bad data.
Team Development & Mentorship
The growth and progression of your direct reports, both in their technical skills and career paths.
  • Your team members will be hitting their development goals, getting promoted, and taking on more complex work. You'll see them actively mentoring each other, and they'll tell you (and HR) that they feel supported, challenged, and see a clear path forward here. We'll also look at the quality of their code and documentation.
Data Governance & Quality Advocacy
Your effectiveness in championing better data practices and improving the underlying quality of operational data sources.
  • You'll be leading initiatives to clean up master data, pushing for better data capture processes in the ERP, and getting buy-in from data owners. We'll see fewer 'garbage in, garbage out' complaints from your team, and more proactive suggestions for data improvement that actually get implemented.
Strategic Alignment of BI Roadmap
How well your team's BI roadmap aligns with the broader Operations strategy and business priorities.
  • Your quarterly roadmap presentations will directly map to Operations' strategic objectives (e.g., 'reduce logistics costs by 10%'). The Director and VP of Operations will confirm that your team is working on the most impactful problems, not just chasing shiny objects or ad-hoc requests. You'll be saying 'no' to low-value work effectively.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Solving Real-World Operational Puzzles

You get a real kick out of taking a messy, complex operational problem – like why our delivery times are inconsistent in a certain region – and using data to break it down, find the root cause, and then see your team's solution actually fix it.

Your team identifies that a specific warehouse layout is causing bottlenecks, and after implementing your recommended changes, pick times drop by 15%. That direct impact is what gets you out of bed.

Building and Developing a High-Performing Team

You love seeing your direct reports grow, learn new skills, and take on more challenging projects. Mentoring, coaching, and helping them navigate their careers is a significant source of satisfaction for you.

A junior analyst on your team, with your guidance, successfully leads their first major project from start to finish. Or you help someone get promoted, knowing you played a big part in their development.

Driving Tangible Business Impact

You're motivated by seeing your team's work directly contribute to the company's bottom line – whether it's saving costs, improving customer satisfaction, or making processes significantly more efficient.

Your team's new demand forecast model helps reduce inventory holding costs by £750K annually, and you can clearly show the numbers to the leadership team. You're not just reporting; you're driving change.

What frustrates people
  • Garbage In, Garbage Out: Your team's sophisticated models are only as good as the data entered by a forklift driver on a clunky scanner at 3 AM. You'll spend more time cleaning data than analysing it, and it's a constant battle.
  • The 'Simple' Request: A VP will ask for 'one simple number' that, in reality, requires joining six tables, a call to a data engineer, and three days of validation to produce. Then they'll wonder why it's taking so long.
  • Gut Feel vs. Data: Presenting a statistically valid forecast to a Plant Manager who says, 'I've been doing this for 30 years, and my gut tells me you're wrong.' This happens more often than you'd think.
  • Finance vs. Operations: The perpetual war over whose numbers are 'correct.' Finance reports on GAAP revenue, while your team reports on operational shipments, and you'll spend an hour in every meeting explaining the difference.
  • Process Changes Break Everything: The warehouse team implements a new scanning process without telling you, causing your entire receiving dashboard to flatline. You'll get blamed for the 'broken' report, not the lack of communication.
  • Attribution Hell: Trying to prove that the BI dashboard your team built was the sole reason for a 2% improvement in efficiency, when a dozen other variables also changed. It's tough to isolate impact.
What this role does not give you
  • A perfectly clean, ready-to-use dataset from day one – you'll be building and refining the data pipelines and quality processes.
  • A quiet, predictable environment where you can focus solely on deep analytical work without interruptions – you're a manager, so people and priorities will demand your attention.
  • Immediate, universal adoption of every insight your team produces – you'll need to champion, persuade, and sometimes compromise.
  • A role where you're solely an individual contributor – your primary focus is leading and enabling your team.

8Who you work with

This role directly shapes the analytical capability of our Operations department. Your team's output drives decisions on inventory levels, staffing, route optimisation, and process improvements, which in turn impacts our overall cost efficiency, customer satisfaction, and ability to scale. You're essentially building the intelligence layer that helps our physical operations run smarter.

Inside the business
  • Head of Supply Chain
  • Warehouse Managers
  • Logistics & Distribution Leads
  • Finance Business Partners (Operations)
  • Product Management (for operational tools)
  • IT & Data Engineering
Outside the business
  • Key logistics partners (carriers, 3PLs)
  • Technology vendors (BI tools, ERP)
  • Industry consultants (occasionally)

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • Proven experience leading and mentoring a team of data or BI analysts (at least 2-3 years in a formal management role).
  • Extensive hands-on experience (8+ years) with complex data modelling, dashboard development, and advanced analytics in an operational context.
  • A strong track record of delivering measurable business impact through data-driven insights, specifically within Supply Chain, Logistics, or Manufacturing.
  • Demonstrable experience with at least two major BI platforms (e.g., Power BI, Tableau) and strong SQL skills.
  • Experience working with large ERP systems (e.g., SAP, Oracle NetSuite) and understanding their data structures.
  • Excellent communication and stakeholder management skills, with a proven ability to influence senior leaders.

10What to practise next

Where the job is going, and what to do about it starting this week.

Data Mesh & Data Product Management

As our data landscape grows, centralising everything becomes a bottleneck. The concept of 'data as a product' and decentralised data ownership (data mesh) is gaining traction, requiring a new way of thinking about data architecture and governance.

Domain-Oriented Data Ownership · Data Product Lifecycle · Self-Serve Data Infrastructure · Federated Data Governance

  • This quarter: Read up on data mesh concepts. Understand its pros and cons for our organisation.
  • Next 6 months: Identify one 'data product' within Operations that your team could own end-to-end, from source to consumption.
  • Next 12 months: Work with IT and Data Engineering to explore how we could implement data product principles for a specific operational dataset.
  • Ongoing: Advocate for treating operational data as a valuable product, with clear owners and quality standards.

Quick win: Map out the 'customers' of your team's main dashboard. What are their needs? How can you make that dashboard more like a well-supported product?

Real-time Analytics & Streaming Data

Operational decisions are increasingly time-sensitive. Waiting for nightly batch updates isn't good enough anymore. The ability to process and analyse data as it happens (e.g., IoT sensor data, real-time order flows) will be critical for truly dynamic operations.

Stream Processing Frameworks (e.g., Kafka, Flink) · Low-Latency Data Warehousing · Event-Driven Architecture · Complex Event Processing (CEP)

  • This quarter: Research real-time analytics use cases in Operations. What's the business value?
  • Next 6 months: Work with Data Engineering to identify one small operational data stream that could benefit from near real-time reporting.
  • Next 12 months: Lead your team in building a prototype real-time dashboard for a critical operational metric (e.g., live production line status).
  • Ongoing: Push for faster data refresh rates on existing dashboards and explore options for streaming data integration.

Quick win: Identify one 'lagging' operational metric that would be significantly more valuable if it were 'near real-time'. Start a conversation with IT about how to achieve this.

11Staying current once you are in

What people here do to keep up
  • Actively participate in industry forums and conferences focused on Operations Analytics or Supply Chain Management. Bring back new ideas and best practices.
  • Mentor junior analysts or students outside of your direct team. Teaching is a great way to solidify your own knowledge.
  • Contribute to open-source projects or write articles on data challenges in Operations. Build your personal brand and share your expertise.
  • Take advanced courses in machine learning applications for operations, even if it's just an online specialisation. Stay ahead of the curve.
  • Network with peers in other companies. See how they're tackling similar operational BI challenges.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

AI-Powered Process Optimisation

Competitors are already using advanced AI to find efficiencies in their supply chains that human analysts simply can't spot. From dynamic routing to predictive maintenance, AI is moving from 'nice-to-have' to 'must-have' for operational excellence.

  • Reinforcement Learning for Logistics
  • Predictive Maintenance Models
  • Digital Twin Simulations
  • AI Ethics in Automation

Advanced Data Storytelling & Visualisation for Action

With more data and more complex insights, simply presenting a dashboard isn't enough. Operations leaders need clear, concise narratives that tell them what happened, why, and what they should do next. The ability to distil complexity into actionable stories is becoming paramount.

  • Narrative Design for Data
  • Cognitive Load Theory in Dashboards
  • Interactive Explanations
  • Persuasive Visualisation

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Supply Chain Analytics
  • Demand Forecasting & Planning
  • Process Mining
  • Lean / Six Sigma Principles
  • Cost-to-Serve Analysis
  • Master Data Management (MDM)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Senior Operations BI Analyst (L3) to Manager

    3-5 years as a Senior Analyst

    Skills to master

    • Leading complex projects end-to-end, mentoring junior team members, presenting to senior stakeholders, taking ownership of critical workstreams, and starting to manage small project budgets. You'll have proven you can deliver independently and guide others.

    You're ready to move on when

    • Successfully led 3+ major BI projects with measurable impact.
    • Consistently mentored 1-2 junior analysts, helping them grow their skills.
    • Proactively identified and proposed solutions to operational data challenges, not just executed requests.
    • Demonstrated strong communication skills, translating technical insights for business users.
    • Taken initiative to improve team processes or documentation.
  2. 2

    Lead BI Partner, Operations (L4) to Manager

    2-4 years as a Lead BI Partner

    Skills to master

    • Architecting multi-project solutions, acting as the primary BI interface for a major business unit, influencing senior stakeholders, defining strategic approaches for data problems, and potentially having informal team leadership responsibilities. You'll have already been thinking at a programmatic level.

    You're ready to move on when

    • Successfully managed the BI needs for a significant operational business unit (e.g., all of Supply Chain).
    • Architected and overseen the delivery of multiple interconnected BI projects.
    • Consistently influenced VPs and other senior leaders with data-driven recommendations.
    • Demonstrated strong strategic thinking, aligning BI initiatives with business goals.
    • Shown a natural aptitude for informal leadership and problem-solving beyond your direct remit.
  3. 3

    External BI Manager / Consultant

    Direct entry with 12-16 years overall experience, 3-5 years management

    Skills to master

    • Managing BI teams, developing BI strategy, delivering complex analytical programmes, and strong stakeholder engagement in an operational context. You'll need to demonstrate how your external experience translates directly to our specific operational challenges and culture.

    You're ready to move on when

    • Proven track record of building and leading successful BI teams in previous organisations.
    • Experience delivering significant, measurable business impact through BI solutions.
    • Strong understanding of Operations/Supply Chain domain, even if in a different industry.
    • Ability to quickly adapt to a new company culture and build relationships with internal stakeholders.
    • Clear examples of strategic BI roadmap development and execution.

15Where this role leads

The long view: This work can lead to senior roles in operations strategy, data leadership or wider operations management, such as chief data officer or chief operating officer.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Manager, Operations Intelligence is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Introduction to Data Science and Big Data, worked against Manager, Operations Intelligence.

Introduction to Data Science and Big Data Level 5

Applied to your work in Manager, Operations Intelligence

The objective of this unit is to provide learners with a systematic understanding of Data Science and Big Data concepts, including their characteristics and applications. Learners will develop proficiency in data collection, design, and modelling techniques, and will be able to select appropriate tools for data pre-processing and apply analytical techniques to generate insights from data.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration
Manager, Operations Intelligence
  • Supply Chain Analytics
  • Demand Forecasting & Planning
  • Process Mining
  • Lean / Six Sigma Principles
  • Cost-to-Serve Analysis
  • Master Data Management (MDM)
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Manager, Operations Intelligence is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Director of Business Intelligence, Operations (L6)

    3-5 years in this Manager role

    This is the natural next step, moving from managing a team to shaping the entire Operations BI function. You'll manage other managers and influence at the VP level.

    • Enterprise Data Strategy Defining the overarching data strategy for Operations, including data governance frameworks.
    • Vendor Management (Strategic) Managing relationships with key BI and data technology vendors at a strategic level.
    • Budget Ownership (Larger Scale) Managing a multi-million-pound budget for the entire Operations BI function.
    • Innovation Scouting Identifying and evaluating emerging technologies and methodologies that could transform our operational intelligence.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of your team's time is probably spent on repetitive tasks, digging through data, or writing up reports. Imagine if they could get that time back to focus on the truly strategic stuff. Well, AI isn't just a buzzword; it's a game-changer for Operations Intelligence.

We're not talking about replacing your team, but empowering them. By using AI, your analysts can automate the boring bits, get to insights faster, and ultimately deliver more value to Operations. Here's how AI can transform your team's day-to-day work:

Automated Anomaly Detection

Imagine AI constantly watching real-time data from your production lines, logistics, and inventory. It automatically flags statistically significant deviations – like a machine's cycle time suddenly increasing by 8% – and creates an alert. This means your team isn't manually checking reports; they're only investigating actual problems. That's 5-8 hours a week saved per analyst, easily.

Predictive Root Cause Analysis

When a quality failure or shipment delay inevitably happens, an AI model can analyse historical incident data, maintenance logs, and operator notes to suggest the top 3 most probable root causes. This focuses your RCA team's investigation from the start, cutting down on guesswork and speeding up resolution. Think 4-6 hours saved per major incident.

Natural Language Query for Stakeholders

Implement an AI layer over your data warehouse that lets Operations managers ask questions in plain English via MS Teams or email (e.g., 'What was our on-time delivery rate for customer X in Germany last month?'). The AI generates and sends back the correct chart or number instantly. This dramatically reduces the ad-hoc reporting workload on your BI team by 10-15 hours a week, freeing them up for deeper analysis.

Automated Performance Commentary

For your weekly and monthly performance reports, AI can generate the first draft of the executive summary. It translates metric changes into business narrative (e.g., 'OTIF decreased by 3% to 91%, primarily driven by carrier delays in the Southeast region, impacting 450 orders.'). Your analysts then refine and add context, saving them 2-3 hours a week on report writing alone.

Common questions

Common questions

How do you become a Manager, Operations Intelligence?

Common routes in include Senior Operations BI Analyst to Manager (3-5 years as a Senior Analyst), Lead BI Partner, Operations to Manager (2-4 years as a Lead BI Partner) and External BI Manager / Consultant (Direct entry with 12-16 years overall experience, 3-5 years management). Times vary with prior experience.

Where can a Manager, Operations Intelligence progress to?

This role can lead on to Director of Business Intelligence, Operations (3-5 years in this Manager role), depending on the skills you build.

What new skills matter most for a Manager, Operations Intelligence?

Increasingly, AI-Powered Process Optimisation and Advanced Data Storytelling & Visualisation for Action. These are the skills our record of this role lists as growing.

Free tools

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17Where to go from here

Other roles at Level 5

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in operations

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills built here, leading BI teams, improving operations through data, and influencing senior stakeholders, carry across industries such as retail, manufacturing, logistics and e-commerce. They can also lead into general management roles within operations.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my free Automation Fluency module What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.