UK

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

Senior Manager, Procurement Analytics & Insights

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

See how AI is changing this job, and get the full read by email.

Start my free Data Fluency module

As Senior Manager, Procurement Analytics & Insights, a good place to start on Prompt Engineering & LLM Integration (for Analytical Workflow) is Using Data to Direct a Department's Priorities, a free Future Fluency module at Level 5. You'd practise using the data your department already produces to decide where its effort should go.

Free to start, no card.

Keep this job description

Where should we send it?

One email: what AI is changing in this job, the new skills it asks for, where it leads, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

Your employer, or 'self-employed'

Leading a team? Try this with up to five of them for 14 days, free.

  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports3-8 reports
  • Reports toDirector, Global Procurement Intelligence
  • UK framework levelUsually someone running a function, or a director

Also advertised as Head of Procurement Data · Principal Procurement Analyst · Analytics Lead - Global Sourcing

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

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 4 of 16 standards
GQA Level 7 NVQ Diploma in Construction Senior Management GQA Qualifications Limited · Level 7 · covers 3 of 16 standards
Highfield Level 7 NVQ in Construction Senior Management (RQF) Highfield Qualifications · Level 7 · covers 2 of 16 standards
ProQual Awarding Body Level 7 Vocationally-Related Qualification in Construction Management ProQual Awarding Body · Level 7 · covers 1 of 16 standards
Qualifi Level 7 Diploma in IT Qualifi Ltd · Level 7 · covers 1 of 16 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 16 standards

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

The units you would start with

Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science
Implement, monitor and control strategic procurement systems in construction management GQA Level 7 NVQ Diploma in Construction Senior Management
Data Analytics Qualifi Level 7 Diploma in IT
Data-led Decision Making Level 6 Award in Data-led Decision Making

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
Automation Fluency building AI into how work runs
Your Plan Illustration

Built for Senior Manager, Procurement Analytics & Insights

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 4 of 16 standards Level 7
  2. Implement, monitor and control strategic procurement systems in construction management GQA Qualifications Limited · covers 3 of 16 standards Level 7
  3. Data Analytics Qualifi Ltd · covers 1 of 16 standards Level 7
  4. Data-led Decision Making Institute of Sales Professionals · covers 1 of 16 standards Level 6
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 Senior Manager, Procurement Analytics & Insights?

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

  • Prompt Engineering & LLM Integration (for Analytical Workflow)
  • AI-Driven Process Optimisation
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 Senior Manager, Procurement Analytics & Insights plan as you set up, starting with the free Data Fluency module. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

Ready to pay? Subscribe for £70 a month

Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

This role leads a team that turns procurement data into decisions on spend, savings and supply chain risk. It combines analysis, team leadership and influencing senior stakeholders.

4What you'd actually use

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

SAP S/4HANA (MM/Ariba) Strategic

You'll lead discussions on ERP data governance, defining data requirements for procurement, and acting as a key stakeholder in system upgrades or migrations. You won't be writing daily queries, but you'll understand the data flow intimately.

Tableau / Power BI Architect

You'll manage the overall BI environment for Procurement, setting standards for dashboard design, performance, and data security. You'll present and defend insights from these dashboards to C-level executives.

SQL (PostgreSQL/T-SQL) Strategic

You'll design and architect the data models and schemas for our procurement data warehouses, collaborating closely with IT and Data Engineering. You'll oversee your team's complex query development.

Python (pandas, NumPy, scikit-learn) Strategic

You'll champion the use of advanced analytics and machine learning (e.g., for predictive modeling, fraud detection, demand forecasting) to solve our most pressing business problems. You'll guide your team's development of robust scripts.

Excel (Power Query, Power Pivot/DAX) Strategic

You understand Excel's limitations and will drive the migration of critical processes to more scalable platforms. That said, you'll still use it for ad-hoc analysis and understand how to build robust financial models within it, guiding your team on best practices.

Coupa / GEP SMART (Spend Analytics) Strategic

You'll own the relationship with the vendor, lead the business case for investment or renewal, and ensure the platform's roadmap aligns perfectly with our company's procurement strategy and analytical needs.

Anaplan / Workday Adaptive Planning Strategic

You'll collaborate closely with Finance to build and maintain procurement-specific models for budget planning, cost forecasting, and savings tracking, ensuring our analytical outputs feed directly into financial planning.

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
Analytical Methodology & Tool Selection Follows established guidelines; seeks approval for any deviation. Selects appropriate methods for routine problems; consults manager on novel approaches. Defines and champions new analytical methodologies; approves tool selection for the team within budget. Strategic tool investments (e.g., new platform) require Director/CPO alignment.
Team Hiring & Performance Management No hiring authority; provides feedback to manager on team dynamics. No hiring authority; provides peer feedback. Full hiring authority for direct reports (L1-L4); responsible for performance reviews, development plans, and compensation recommendations for your team.
Project Prioritisation & Resource Allocation Executes assigned tasks; escalates workload conflicts. Prioritises own tasks; informs manager of potential delays. Defines team's project roadmap and priorities in alignment with CPO/Director; allocates resources (people, budget) across projects. Can push back on non-strategic requests with data.
Data Governance & Quality Initiatives Identifies data errors; reports to senior analyst. Proposes solutions for data quality issues within own scope. Champions and drives data governance initiatives across Procurement in collaboration with IT; defines data quality standards for the function.

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.

Realised Savings Validation Rate
The percentage of identified savings opportunities (from your team's analysis) that are actually tracked and verified as hitting the P&L.
Target · >80% validated savings hitting P&L

Your team identifies £10M in potential savings in Q1. By Q3, £8.5M of those savings are confirmed as realised and reflected in the financial statements, giving you an 85% validation rate.

Commodity Price Forecast Accuracy
The accuracy of your team's predictive models for key raw material prices (e.g., copper, oil, specific chemicals) against actual market prices.
Target · Improve forecast accuracy by 15% year-over-year (e.g., reduce variance from 10% to 8.5%)

Last year, our average forecast variance for steel was 8%. This year, thanks to your team's enhanced models, it's down to 6.8%, a 15% improvement.

Procurement Data Maturity Score
An internal assessment of our procurement function's data capabilities, covering data quality, availability, analytical sophistication, and decision-making adoption.
Target · Elevate data maturity from 'Developing' to 'Advanced' within 2 years (e.g., move from 2.5 to 3.5 on a 5-point scale)

After 18 months, our internal audit shows improved data governance, increased self-service reporting, and more strategic decisions based on your team's insights, pushing our score from 2.8 to 3.6.

Cost of Goods Sold (COGS) Reduction Contribution
The direct impact of your team's analytics on reducing the overall cost of producing our goods, often measured as a percentage reduction.
Target · Contribute to a 0.5% reduction in COGS through analytical insights

Your team's analysis on supplier consolidation and payment term optimisation directly led to a £2M reduction in COGS for the year, representing 0.6% of our total COGS.

Strategic Influence & Partnership
How effectively your team's insights are integrated into strategic procurement decisions and how much senior leaders rely on your team.
  • You'll know you're doing well when the CPO asks your team for input before making a major sourcing decision, when Category Directors proactively seek your team's help for complex negotiations, and when your team is consistently invited to strategic planning sessions.
Team Development & Retention
The growth and engagement of your direct reports, ensuring they're developing their skills and feel valued.
  • This looks like your team members hitting their development goals, successfully taking on more complex projects, positive feedback in 1-to-1s, and a low voluntary turnover rate. Ideally, you'll see your L3/L4 leads ready for their next step up.
Data Governance & Quality Advocacy
Your proactive efforts in improving the underlying quality and governance of procurement data across the organisation.
  • We'd expect to see you regularly leading discussions with IT on data quality issues, proposing master data improvements, and pushing for better data input practices from the wider procurement team. It's about making sure 'garbage in, garbage out' becomes less and less of a problem.

7Would you like it

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

What people enjoy
Driving Strategic Business Impact

You'll get a real kick out of seeing your team's analysis directly lead to a major supplier renegotiation, a new sourcing strategy, or a significant reduction in operational costs. It's about moving the needle on big, complex business problems.

Your team's TCO model helps the business choose a new logistics partner, saving £5M annually, and you're the one presenting those results to the executive committee.

Building & Developing a High-Performing Team

You genuinely enjoy mentoring, coaching, and empowering your team members to grow their skills and take on bigger challenges. You'll spend time helping them troubleshoot tricky data problems, refine their presentation skills, and plan their career paths.

One of your lead analysts successfully designs and implements a new predictive model, and you've been there guiding them every step of the way, celebrating their success.

Solving Complex, Messy Data Puzzles

The idea of taking disparate, dirty data from multiple systems and transforming it into a clean, insightful story excites you. You love the challenge of uncovering hidden patterns and making sense of chaos.

You're tasked with consolidating spend data from 10 different ERP instances post-acquisition, and you see it as a fascinating challenge to build a unified spend cube, not just a chore.

What frustrates people
  • The constant battle with legacy ERP systems for clean, granular data – it's often a black hole of information.
  • Dealing with 'gut feel' decisions from experienced Category Managers who dismiss data-driven insights.
  • Your well-planned strategic projects getting derailed by 'urgent' fire-drill requests from senior leadership.
  • The never-ending struggle with poor master data quality (e.g., duplicate supplier names) that undermines your analysis.
  • Attribution fights over who 'owns' the savings identified by your team's models.
What this role does not give you
  • A perfectly clean, well-governed data environment from day one – you'll be building that.
  • A purely technical, heads-down analytical role – you'll be leading, influencing, and managing.
  • A 'set it and forget it' kind of job – the business changes, and so will the analytical needs.
  • A quiet, predictable work schedule – expect urgent requests and shifting priorities.

8Who you work with

You'll directly shape the analytical capabilities of our entire procurement organisation, influencing decisions that impact hundreds of millions in spend. Your team's work underpins our savings targets, risk mitigation strategies, and overall supplier management approach. Get it right, and we're a lean, data-driven machine; get it wrong, and we're leaving money on the table and exposing ourselves to unnecessary risk.

Inside the business
  • Chief Procurement Officer (CPO)
  • VP of Operations
  • Head of Finance / FP&A
  • Category Directors (e.g., IT, Marketing, Logistics)
  • IT & Data Engineering teams
  • Legal & Compliance
Outside the business
  • Key Software Vendors (e.g., SAP Ariba, Coupa, Tableau)
  • External Market Intelligence Providers
  • Consulting Partners (occasionally)

9What you need before you start

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

  • Proven experience (roughly 8-12 years) leading complex analytical projects in a procurement or supply chain context, ideally with some team leadership experience.
  • Demonstrable expertise in SQL, Python (for data analysis), and at least one major BI tool (Tableau or Power BI) at an 'Advanced' level.
  • A track record of successfully translating complex data insights into clear, actionable recommendations for senior business leaders.
  • Experience in designing and building robust data models or analytical frameworks that are used by a team or wider organisation.
  • A deep understanding of procurement processes (P2P, S2P, Category Management) and how data can drive value in each area.

10What to practise next

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

Advanced Predictive & Prescriptive Analytics

The business will demand more than just 'what happened'. They'll want to know 'what will happen' and 'what should we do about it'. This means moving beyond basic regression to more sophisticated forecasting and optimisation models.

Time Series Forecasting (e.g., ARIMA, Prophet) · Optimisation Algorithms · Causal Inference · Simulation & Scenario Modelling

  • This month: Review advanced machine learning courses on platforms like Coursera or DataCamp, focusing on predictive modelling.
  • Month 2: Identify one key business problem that could benefit from a predictive or prescriptive model (e.g., predicting supplier risk).
  • Month 3: Lead your team in building a prototype of this model, using Python or R, and evaluate its performance.
  • Month 4: Present the potential impact of this advanced model to relevant stakeholders.

Quick win: Start experimenting with Python's 'Prophet' library for time series forecasting on a simple dataset. It's surprisingly powerful and easy to get started with.

Data Governance & Ethics for AI

As we use more data and AI, the risks around data privacy, bias, and ethical use grow. You'll need to be the guardian of responsible data practices within Procurement, ensuring our models are fair, transparent, and compliant.

Data Lineage & Auditability · AI Explainability (XAI) · Bias Detection & Mitigation in Algorithms · Data Security & Access Control

  • This month: Attend a webinar or read a whitepaper on AI ethics in business.
  • Month 2: Work with our Legal and Compliance teams to understand existing data policies and identify gaps related to AI.
  • Month 3: Develop internal guidelines for your team on ethical AI use and data handling.
  • Month 4: Lead a discussion with IT and Data Engineering on implementing better data lineage tools for procurement data.

Quick win: Start documenting the data sources and transformations for every major report your team produces. It's a simple step towards better data lineage and auditability.

11Staying current once you are in

What people here do to keep up
  • Regularly attending industry conferences and webinars focused on procurement technology, supply chain analytics, and data science trends.
  • Participating in online courses or bootcamps to stay current with advanced analytical techniques (e.g., machine learning, AI applications).
  • Engaging with peer networks or communities of practice for procurement analytics leaders to share insights and best practices.
  • Reading key industry publications and academic papers to anticipate future trends and challenges in the procurement space.

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.

Prompt Engineering & LLM Integration (for Analytical Workflow)

Competitors are already using Large Language Models (LLMs) to draft reports, summarise findings, and even generate basic code in minutes. Analysts who master this will significantly outproduce their peers, and you need to lead that charge for your team.

  • Context Windows & Token Limits
  • Temperature Settings for Different Tasks
  • RAG (Retrieval-Augmented Generation) Architectures
  • Output Validation & Hallucination Detection

AI-Driven Process Optimisation

AI isn't just for analysis; it's for making our procurement processes smarter. Think about automating parts of the P2P cycle, optimising inventory, or even predicting supplier delivery failures. You'll need to identify where AI can streamline operations.

  • Process Mining with AI
  • Robotic Process Automation (RPA) Integration
  • Predictive Maintenance for Assets
  • Intelligent Contract Analysis

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Spend Cube Analysis (Strategic)
  • Total Cost of Ownership (TCO) Modeling (Strategic)
  • Supplier Performance & Risk Scorecarding (Strategic)
  • Category Management Analytics (Strategic)
  • Working Capital Optimisation Analytics

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

    Lead Procurement Analyst (L4)

    3-5 years as a Lead Analyst

    Skills to master

    • Mastering end-to-end project ownership, architecting complex data solutions, informally mentoring junior team members, and building strong relationships with IT and senior Category Managers.

    You're ready to move on when

    • Successfully led 3+ major analytical projects with significant business impact.
    • Consistently sought out by senior stakeholders for complex data challenges.
    • Demonstrated ability to mentor and guide junior analysts effectively.
    • Proactively identified and driven improvements in data infrastructure or processes.
  2. 2

    Senior Category Manager (with strong analytical background)

    5-7 years as a Senior Category Manager

    Skills to master

    • Deep commercial acumen, strong negotiation skills, understanding of market dynamics, and a proven track record of using data to drive sourcing strategies and achieve savings targets. You'll need to show you can step back from the category and lead an analytics function.

    You're ready to move on when

    • Achieved significant, data-backed savings in complex categories.
    • Developed and implemented data-driven category strategies.
    • Consistently used analytical tools (e.g., spend cubes, TCO models) to inform decisions.
    • Expressed a clear desire and aptitude to lead a dedicated analytics team.
  3. 3

    Data Science Manager (from another function)

    3-5 years as a Data Science Manager

    Skills to master

    • Translating advanced data science techniques (ML, AI) into practical business solutions, managing data scientists, and strong stakeholder management. You'll need to quickly get up to speed on procurement-specific domain knowledge.

    You're ready to move on when

    • Successfully managed a team of data scientists to deliver impactful projects.
    • Proven ability to adapt data science methodologies to new business domains.
    • Demonstrated strong commercial understanding and ability to learn a new industry quickly.
    • Excels at communicating complex technical concepts to non-technical audiences.

15Where this role leads

The long view: This work can lead to broader procurement leadership roles, or into wider data and analytics leadership across a business.

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 Senior Manager, Procurement Analytics & Insights 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 Data Analysis and Visualisation, worked against Senior Manager, Procurement Analytics & Insights.

Data Analysis and Visualisation Level 7

Applied to your work in Senior Manager, Procurement Analytics & Insights

1. To enable the learner to critically analyse the theoretical underpinnings of data analytics and their impact on decision-making in business management contexts. 2. To enable the learner to assess diverse data analysis activities, techniques, and tools applicable to business management scenarios. 3. To enable the learner to compare and contrast various predictive analytic techniques, evaluating their strengths and weaknesses in forecasting future business events. 4. To enable the learner to evaluate how predictive analytic techniques can be practically implemented for forecasting purposes within the business sector. 5. To enable the learner to evaluate prescriptive analytic techniques, illustrating their application with relevant examples from the business management domain. 6. To enable the learner to apply a suitable programming language or data analysis tool to conduct data analysis and visualisation tasks related to business management problems.

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
Senior Manager, Procurement Analytics & Insights
  • Spend Cube Analysis (Strategic)
  • Total Cost of Ownership (TCO) Modeling (Strategic)
  • Supplier Performance & Risk Scorecarding (Strategic)
  • Category Management Analytics (Strategic)
  • Working Capital Optimisation Analytics
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

Senior Manager, Procurement Analytics & Insights is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Director, Global Procurement Intelligence (L6)

    3-5 years in this Senior Manager role

    Move from managing a team to leading a broader function, owning the overall strategy for procurement intelligence (analytics, market intelligence, risk).

    • Integrating Market Intelligence & Geopolitical Risk Analysis
    • Developing Predictive & Prescriptive Procurement Strategies
    • Leading Major Procurement Technology Transformations
    • Managing Large Budgets (£2M-£10M+)
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, managing a procurement analytics team means you're always looking for ways to do more with less. Imagine if your team could spend less time on the tedious bits and more on the strategic thinking. That's where AI comes in. We're not talking about replacing people; we're talking about giving your team superpowers.

The truth is, AI is already transforming how analytics teams work. For an International Procurement Analytics Manager, this means empowering your team to deliver insights faster, with greater accuracy, and freeing them up for the really interesting, complex problems. Think of it as having a super-smart assistant for every analyst on your team.

Automated Spend Classification

Use AI models (like NLP) to automatically categorise 'maverick' spend or uncategorised invoice line items. This drastically cuts down the manual, soul-crushing effort of cleaning up messy spend data, giving your team more time for actual analysis.

Predictive Commodity Forecasting

Leverage machine learning to build more accurate predictive models for key raw material prices. This means better hedging strategies, smarter buying decisions, and fewer surprises for the business. Your team can focus on refining the models, not just building them from scratch.

AI-Powered Supplier Risk Assessment

Deploy AI tools to continuously monitor news, financial reports, and sanction lists for your critical suppliers. Get automated alerts and summaries of potential risks, allowing your team to proactively manage the supply base rather than reactively firefighting.

QBR Narrative Generation

Connect an AI assistant to your Tableau or Power BI dashboards. Prompt it to 'Write a 3-slide executive summary for the Q3 Business Review, highlighting key savings, emerging risks, and top 3 areas for improvement.' This saves hours of drafting and ensures consistent, data-driven messaging.

Common questions

Common questions

How do you become a Senior Manager, Procurement Analytics & Insights?

Common routes in include Lead Procurement Analyst (3-5 years as a Lead Analyst), Senior Category Manager (with strong analytical background) (5-7 years as a Senior Category Manager) and Data Science Manager (from another function) (3-5 years as a Data Science Manager). Times vary with prior experience.

Where can a Senior Manager, Procurement Analytics & Insights progress to?

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

What new skills matter most for a Senior Manager, Procurement Analytics & Insights?

Increasingly, Prompt Engineering & LLM Integration (for Analytical Workflow) and AI-Driven Process Optimisation. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

Or try another one

17Where to go from here

Other roles at Level 6

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

 More jobs in procurement

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

The skills built here, strategic analytics, team leadership, influencing senior stakeholders and commercial judgement, apply beyond procurement. They transfer to similar leadership roles in FinTech, consulting and other large operational businesses.

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 Data 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.