UK

United Kingdom · Operations · Director/VP (16-20 years)

Director of Business Intelligence, Operations

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  • Experience bandDirector/VP (16-20 years)
  • Direct reports3-8 reports
  • Reports toVP, Operations Strategy & Analytics
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Head of Operations Analytics · VP of Operations Insights · Senior Director, Operations BI

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 5 of 11 standards
ATHE Level 7 Extended Diploma in Computing Technologies (Data Analytics) ATHE Ltd · Level 7 · covers 2 of 11 standards
ATHE Level 7 Extended Diploma in Computing Technologies (Networking) ATHE Ltd · Level 7 · covers 2 of 11 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
Business Intelligence Systems ATHE Level 7 Extended Diploma in Computing Technologies (Artificial Intelligence)

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
Foresight Fluency seeing round the corner
Your Plan Illustration

Built for Director of Business Intelligence, Operations

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 5 of 11 standards Level 7
  2. Business Intelligence Systems ATHE Ltd · covers 2 of 11 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 Director of Business Intelligence, Operations?

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

  • Data Product Management for Operations
  • AI Ethics & Governance in Operations
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 Director of Business Intelligence, Operations plan as you set up, starting with the free Data Fluency module. No card.

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3What this role really is

This role leads business intelligence for an operations function, turning raw data into decisions that improve speed, cost and performance.

4What you'd actually use

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

Power BI Premium / Tableau Server Strategic/Architect

Managing enterprise-wide BI platform capacity, licensing, and security. Setting organisation-wide visualisation standards and best practices. Evaluating new BI platforms for future needs.

SAP S/4HANA / Oracle NetSuite (ERP) Strategic/Architect

Partnering with ERP architects to influence data strategy and ensure BI requirements are met in new module configurations. Understanding the strategic implications of ERP data on operational insights.

Snowflake / Azure Synapse Analytics (Data Warehouse) Strategic/Architect

Architecting the overall data warehouse strategy for Operations. Making build vs. buy decisions for data platforms. Overseeing data governance, security, and performance at an enterprise level.

Alteryx / Fivetran / dbt (ETL/ELT) Strategic/Architect

Setting the enterprise strategy for data integration and ETL/ELT processes within Operations. Evaluating and selecting new data pipeline tools. Ensuring the reliability and scalability of our data ingestion and transformation capabilities.

Python (pandas, NumPy, scikit-learn) / R Advanced

Championing the use of Python/R for advanced analytics and machine learning applications within the Operations function. Guiding your team on complex model development and validation. Understanding the technical feasibility and limitations of advanced analytical solutions.

Microsoft Teams / Confluence / Miro / Jira Expert

Leading strategic planning sessions, presenting roadmaps to leadership, managing cross-functional projects, and ensuring clear communication across your team and with stakeholders. Using these tools to drive collaboration and transparency at an executive level.

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
BI Strategy & Roadmap N/A N/A You define the multi-year strategy and roadmap for Operations BI, aligning with the overall Operations and company strategy. You'll consult with the VP, Operations Strategy & Analytics for final approval, but you're the architect.
Budget Allocation (BI) N/A N/A You own the Operations BI budget, with authority to approve expenditures up to £10M+ for technology, vendors, and staffing. Larger capital investments or new platform selections will require C-suite approval, but your recommendation carries significant weight.
Hiring & Team Structure N/A N/A You have full authority over the hiring, performance management, and career development of your direct reports (L5 Managers). You'll design the organisational structure for the entire Operations BI function, ensuring it meets business needs.
Technology & Tool Selection N/A N/A You'll evaluate and select primary BI platforms, data integration tools, and advanced analytics software for Operations. For enterprise-wide tools, you'll partner with the Head of IT, but you'll drive the requirements and business case for Operations.
Data Governance Policies N/A N/A You'll define and enforce data governance policies and data quality standards specific to Operations, working closely with the Head of IT and other departmental data owners. This means setting the rules for how we handle our operational data.

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.

Identified & Validated Cost Savings
The total value of cost savings or efficiency gains directly attributed to insights and solutions from your BI team.
Target · £2M+ annually

Your team's analysis of warehouse picking routes identified a way to save £2.5M in labour costs over 12 months, which was then implemented and verified by Finance.

Operations Data Maturity Score Improvement
Progress in moving our Operations data capabilities from a reactive state to a more proactive, predictive, and prescriptive one, as measured by an internal framework.
Target · Improve from Level 2 (Reactive) to Level 4 (Proactive) within 24 months

Through new data governance policies and self-service tools, our Operations functions moved from relying on ad-hoc reports to proactively using predictive models for inventory management, achieving Level 4.

BI Solution Adoption Rate
The percentage of targeted operational users who actively use the new BI dashboards and tools developed by your team on a weekly basis.
Target · 80%+ weekly active user adoption across key Operations functions

After launching the new Logistics Performance Dashboard, 85% of Logistics Managers were logging in and using it at least once a week to track carrier performance and delivery exceptions.

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

Your BI team maintained an attrition rate of 8% last year, showing strong team leadership and a positive working environment, even with a competitive market for BI talent.

Strategic Influence & Impact
How effectively you and your team's insights shape executive-level decisions and guide major operational programmes.
  • You're regularly invited to C-suite strategy sessions. Your team's data is consistently cited in Board presentations. VPs proactively seek your input before launching new initiatives. You're seen as a trusted advisor, not just a data provider.
Data Governance & Quality Leadership
Your leadership in establishing and enforcing data quality standards and governance frameworks across Operations.
  • You've successfully implemented new data quality checks that reduced errors by X%. Operations teams consistently adhere to data entry standards. You've led cross-functional efforts to define 'single sources of truth' for critical operational metrics. You're the go-to person when there's a data discrepancy.
Team Development & Mentorship
Your ability to build, develop, and retain a high-performing team of BI professionals.
  • Your direct reports are consistently promoted or take on expanded responsibilities. You've created a clear career path for your team. You're known for providing constructive feedback and creating a culture of continuous learning. Your team members feel supported and challenged.
Cross-Functional Collaboration
How well you and your team work with other departments (e.g., IT, Finance, Product) to achieve shared goals.
  • You've successfully mediated disagreements between Finance and Operations on data definitions. You've co-led projects with IT that delivered complex data solutions on time. Other departments proactively reach out to your team for collaboration, not just requests. You're seen as a bridge-builder.

7Would you like it

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

What people enjoy
Driving Large-Scale Operational Transformation

You'll be leading initiatives that genuinely change how our warehouses, logistics, and manufacturing plants operate. This means defining the data strategy for major programmes, seeing your insights lead to tangible process improvements, and influencing multi-million-pound investment decisions.

Your team's work on optimising our distribution network, driven by your strategic BI roadmap, resulted in a 15% reduction in transport costs and improved delivery times across the UK.

Building and Mentoring High-Performing Teams

A huge part of your role is developing the next generation of BI leaders. You'll be coaching your managers, setting clear expectations, fostering a culture of excellence, and ensuring your team has the skills and opportunities to grow. You get a real buzz from seeing your people succeed.

You successfully mentored two of your Managers to take on broader, more strategic roles within the business, and your team consistently scores highly on engagement surveys.

Solving Complex, Ambiguous Organisational Problems

You thrive on tackling big, hairy problems where the answer isn't obvious and the data is messy. This often means navigating conflicting priorities between departments, dealing with incomplete data, and building consensus around a data-driven solution. It's like being a detective and a diplomat all at once.

You led the effort to reconcile conflicting inventory numbers between Finance and Operations, building a 'single source of truth' that finally put an end to years of debate and enabled accurate financial reporting and operational planning.

What frustrates people
  • The perpetual 'gut feel vs. data' battle with long-tenured operational leaders.
  • Dealing with legacy systems that make data extraction and integration a nightmare.
  • The constant need to justify investment in data quality and governance to budget holders.
  • Navigating complex organisational politics to get buy-in for data-driven changes.
  • Being blamed for 'bad news' that your data simply uncovered, not created.
  • The slow pace of change in a large organisation, even with compelling data.
What this role does not give you
  • A quiet, heads-down analytical role with minimal human interaction.
  • The ability to see every single project your team starts make it to full production.
  • A perfectly clean, harmonised data environment from day one.
  • A role where you don't have to deal with conflicting priorities or political challenges.

8Who you work with

This role is critical for transforming Operations from a reactive cost centre into a proactive, data-driven engine. You'll directly influence multi-million-pound investment decisions, shape our operational processes, and ensure we're using data as a true competitive advantage. Your work will underpin our ability to scale efficiently and respond quickly to market changes. Honestly, without strong BI leadership here, our Operations would struggle to keep pace.

Inside the business
  • C-Suite (COO, CFO)
  • VPs of Logistics, Manufacturing, Supply Chain
  • Head of IT & Data Engineering
  • Product Management (for operational tools)
  • Finance Leadership
Outside the business
  • Key Technology Vendors (BI platforms, ERP)
  • Industry Bodies and Consultants
  • Strategic Partners (e.g., 3PL providers)

9What you need before you start

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

  • Proven experience (10+ years) in a senior leadership role within Business Intelligence or Analytics, specifically within a large-scale Operations function.
  • A track record of successfully building, leading, and mentoring teams of BI professionals, including managing managers.
  • Demonstrable experience in defining and executing a multi-year BI strategy that delivered measurable business impact.
  • Expertise in at least one major BI platform (e.g., Power BI, Tableau) and a strong understanding of data warehousing concepts.
  • Exceptional executive presence and communication skills, with a history of influencing C-suite and Board-level stakeholders.
  • A deep, practical understanding of operational processes (e.g., supply chain, manufacturing, logistics) and their associated data challenges.

10What to practise next

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

Generative AI for Strategic Scenario Planning

LLMs aren't just for writing emails; they're becoming powerful tools for complex 'what-if' analysis, simulating market responses, and even generating potential solutions to operational problems. This will dramatically speed up strategic planning cycles.

Prompt Engineering for Strategic Analysis · LLM Integration with Proprietary Data · Output Validation & Hallucination Detection · Agentic AI for Operations

  • This month: Experiment with advanced prompt engineering techniques using public LLMs for a hypothetical operational challenge.
  • Next 3 months: Work with IT to pilot an internal RAG solution for summarising operational reports or answering specific data questions.
  • Next 6 months: Lead a strategic planning session where LLMs are used to generate initial scenarios and potential solutions for a major operational challenge.
  • Ongoing: Stay informed on the latest advancements in generative AI and assess their potential impact on your BI strategy.

Quick win: Use an LLM to summarise lengthy operational incident reports or generate initial outlines for strategic presentations. It's a low-risk way to understand their capabilities.

Data Mesh & Data Fabric Architectures

As data volumes explode and operational teams need more autonomy, traditional centralised data warehouses can become bottlenecks. Data Mesh and Fabric offer decentralised approaches that empower domain teams while maintaining governance.

Data as a Product · Decentralised Data Ownership · Self-Serve Data Infrastructure · Data Governance in a Distributed Landscape

  • This quarter: Research the core concepts of Data Mesh and Data Fabric, understanding their pros and cons for a large Operations environment.
  • Next 6 months: Engage with IT and Data Engineering leadership to assess the feasibility of adopting a Data Mesh approach for specific operational data domains.
  • Next 12 months: Pilot a 'data product' within one Operations team, empowering them with ownership and self-service capabilities.
  • Ongoing: Champion a shift towards more decentralised, product-oriented data ownership within Operations, advocating for the necessary cultural and technical changes.

Quick win: Start by identifying one critical operational dataset that is currently a bottleneck. Imagine how it would be managed if it were a 'data product' owned by the operational team itself. This thought experiment helps clarify the benefits.

11Staying current once you are in

What people here do to keep up
  • Regularly attending industry conferences and thought leadership events focused on Operations, Supply Chain, and Advanced Analytics (e.g., Gartner Supply Chain Symposium, Strata Data & AI Conference).
  • Participating in executive leadership programmes or courses focused on digital transformation and data strategy.
  • Contributing to industry publications or speaking at events, establishing yourself as a thought leader in Operations BI.
  • Mentoring junior talent both within and outside your organisation, fostering a culture of continuous learning and knowledge sharing.

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.

Data Product Management for Operations

As BI becomes more embedded, we need to treat our dashboards, models, and data pipelines as 'products' with users, roadmaps, and value propositions. This shift ensures our BI solutions are truly solving business problems, not just delivering data.

  • User-Centric Design for BI
  • BI Product Roadmapping
  • Value Realisation & Measurement
  • Feedback Loops & Iteration

AI Ethics & Governance in Operations

As we use more AI for things like predictive maintenance, demand forecasting, and even workforce scheduling, ensuring these models are fair, transparent, and compliant is non-negotiable. Bad AI decisions can have huge ethical, financial, and reputational consequences.

  • Algorithmic Bias Detection
  • Explainable AI (XAI)
  • AI Risk Management
  • Regulatory Compliance for AI

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Supply Chain Analytics Strategy
  • Advanced Demand Forecasting & Planning
  • Process Mining & Optimisation Leadership
  • Lean / Six Sigma for Data-Driven Improvement
  • Cost-to-Serve Modelling & Strategy
  • Master Data Management (MDM) & Data Governance

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

    Manager, Operations Intelligence (L5) at Zavmo

    3-5 years as an L5 Manager

    Skills to master

    • Mastering team leadership, cross-functional stakeholder management, and owning significant BI workstreams. Demonstrating the ability to think strategically beyond your immediate team's deliverables.

    You're ready to move on when

    • Successfully led multiple high-impact BI programmes from inception to delivery, driving measurable operational improvements.
    • Consistently developed and mentored your direct reports, with clear examples of their growth and progression.
    • Proven ability to influence VPs and other senior leaders, advocating for data-driven decisions.
    • Demonstrated strategic thinking in annual planning and roadmap development for your area.
  2. 2

    Director of BI/Analytics at a smaller or mid-sized Operations-focused company

    5-8 years in a similar Director-level role

    Skills to master

    • Experience in full P&L responsibility for a BI function, building a team from scratch, and navigating the unique challenges of a growth-stage company. Adapting to our scale and complexity.

    You're ready to move on when

    • Successfully scaled a BI function to support significant business growth, demonstrating adaptability and strategic foresight.
    • Managed a comprehensive BI budget and made key technology investment decisions.
    • Proven ability to attract and retain top talent in a competitive market.
    • Strong examples of driving operational efficiency and cost savings through BI in previous roles.
  3. 3

    Senior BI/Analytics Leader in a different industry (e.g., Retail, Logistics)

    6-10 years in a senior leadership role

    Skills to master

    • Translating industry-specific BI challenges into our Operations context. Quickly grasping our unique operational processes, data sources, and stakeholder landscape. Demonstrating transferable strategic leadership and team-building skills.

    You're ready to move on when

    • A strong track record of leading BI teams and driving strategic impact in a highly operational environment, even if the industry was different.
    • Demonstrated ability to quickly learn and adapt to new business domains and technical ecosystems.
    • Exceptional communication skills, capable of bridging knowledge gaps and building credibility rapidly.
    • Clear examples of influencing senior leaders and managing complex BI portfolios.

15Where this role leads

The long view: This role can lead into wider operations leadership, such as Chief Operations Officer, or into roles shaping digital strategy or global supply chains.

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 Director of Business Intelligence, Operations is actually changing.

Where it leads

Roles this leads to

Also named as a next step, with no page in the catalogue yet:

  • Chief Data Officer (CDO) / Chief Analytics Officer (CAO)

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 Director of Business Intelligence, Operations.

Data Analysis and Visualisation Level 7

Applied to your work in Director of Business Intelligence, Operations

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
Director of Business Intelligence, Operations
  • Supply Chain Analytics Strategy
  • Advanced Demand Forecasting & Planning
  • Process Mining & Optimisation Leadership
  • Lean / Six Sigma for Data-Driven Improvement
  • Cost-to-Serve Modelling & Strategy
  • Master Data Management (MDM) & Data Governance
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

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

  1. VP, Operations Strategy & Analytics (L7)

    3-5 years in the Director role

    This is the natural next step, moving from shaping the BI function to driving enterprise-wide Operations strategy, with BI as a core pillar. You'll own data as a strategic asset for the entire Operations enterprise.

    • Designing and implementing enterprise-wide data governance frameworks.
    • Leading the evaluation and adoption of market-shaping operational technologies.
    • Strategic vendor management for all major Operations technology partners.
    • Developing and managing multi-year capital expenditure plans for Operations.

  2. Chief Data Officer (CDO) / Chief Analytics Officer (CAO)

    5-8 years in the Director role (potentially with an interim VP role)

    This role expands your scope beyond Operations to encompass the entire company's data strategy, governance, and analytics capabilities. It's about leading data as a strategic asset for the whole enterprise.

    • Managing data privacy and security at an enterprise level.
    • Evaluating and implementing company-wide data monetisation strategies.
    • Leading data science and machine learning initiatives across all departments.
    • Representing the company's data strategy to external regulators and industry bodies.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a Director of Business Intelligence in Operations already has a packed schedule. Imagine reclaiming a significant chunk of your week, not by working less, but by working smarter. Our AI Productivity Hub isn't just for junior analysts; it's designed to give leaders like you the strategic edge, freeing you from the mundane and amplifying your impact.

For a Director, AI isn't about replacing your team; it's about making your team—and you—exponentially more effective. It's about getting to strategic insights faster, automating the drudgery, and enabling your managers to focus on high-value work. Think of it as a force multiplier for your entire Operations BI function.

Process Automation & Optimisation

Use AI-powered process mining tools to automatically map out 'as-is' operational workflows from system logs. Identify bottlenecks, quantify their impact, and simulate 'to-be' scenarios without weeks of manual effort. This lets your team focus on fixing the process, not just drawing it.

Advanced Forecasting & Scenario Planning

Go beyond traditional statistical models. Use AI to build highly accurate demand forecasts that incorporate hundreds of variables, then run complex 'what-if' scenarios in minutes. This allows you to rapidly assess the impact of supply chain disruptions, new product launches, or market shifts on your operational plan, giving you a strategic advantage in decision-making.

Automated Strategic Reporting & Commentary

Your team spends hours drafting executive summaries and commentary for weekly, monthly, and quarterly performance reports. AI can generate the first draft of these narratives, translating complex data trends into clear business language, highlighting key drivers, and even suggesting next steps. This frees up your managers to add their strategic insights, not just write boilerplate.

Natural Language Data Query for VPs

Implement an AI layer over your data warehouse that allows VPs and senior leaders to ask complex operational questions in plain English via a chat interface (e.g., 'What's the root cause of the recent increase in returns for product X in the North region?'). The AI provides instant, data-backed answers, significantly reducing ad-hoc requests to your team and empowering faster decisions.

Common questions

Common questions

How do you become a Director of Business Intelligence, Operations?

Common routes in include Manager, Operations Intelligence at Zavmo (3-5 years as an L5 Manager), Director of BI/Analytics at a smaller or mid-sized Operations-focused company (5-8 years in a similar Director-level role) and Senior BI/Analytics Leader in a different industry (e.g., Retail, Logistics) (6-10 years in a senior leadership role). Times vary with prior experience.

Where can a Director of Business Intelligence, Operations progress to?

This role can lead on to VP, Operations Strategy & Analytics (3-5 years in the Director role) and Chief Data Officer (CDO) / Chief Analytics Officer (CAO) (5-8 years in the Director role (potentially with an interim VP role)), depending on the skills you build.

What new skills matter most for a Director of Business Intelligence, Operations?

Increasingly, Data Product Management for Operations and AI Ethics & Governance in Operations. These are the skills our record of this role lists as growing.

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17Where to go from here

Other roles at Level 7

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, in BI strategy, operational change and working with senior stakeholders, apply across data-heavy industries. They transfer to retail, e-commerce, manufacturing, logistics, and consulting roles focused on data-driven operational change.

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.