UK

United Kingdom · Technology and data · Director/VP (16-20 years)

Director of Data Platforms

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  • Experience bandDirector/VP (16-20 years)
  • Direct reports25-100+ reports
  • Reports toChief Technology Officer (CTO)
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as VP of Database Engineering · Head of Cloud Data Infrastructure · Director of Database Operations

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 13 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 4 of 13 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 3 of 13 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 13 standards
Pearson BTEC Level 5 Higher National Diploma in Cloud Computing Pearson Education Ltd · Level 5 · covers 1 of 13 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
Data Management Software Skills AIM Qualifications Entry 3 Diploma in Skills for Working in Business, Administration and Customer Service Industries
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Database Design & Development in the Cloud Pearson BTEC Level 5 Higher National Diploma in Cloud Computing

The future skills this job leans on

Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Sustainability Fluency building care for people and planet into the work
Your Plan Illustration

Built for Director of Data Platforms

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 5 of 13 standards Level 7
  2. Data Management Software Skills AIM Qualifications · covers 1 of 13 standards Entry Level
  3. Data Analytics Pearson Education Ltd · covers 4 of 13 standards Level 5
  4. Introduction to Data Science and Big Data NCC Education Limited · covers 3 of 13 standards Level 5
  5. Database Design & Development in the Cloud Pearson Education Ltd · covers 1 of 13 standards Level 5
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 Data Platforms?

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 Mesh & Data Fabric Architectures
  • Sustainable Cloud Data Architectures
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 Data Platforms 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.

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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 covers data storage, caching and streaming strategy for a business unit. It means shaping how information is stored, accessed and used, keeping it available, secure and cost effective, with multi-year plans that let data infrastructure handle future demands.

4What you'd actually use

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

Cloud Platforms (AWS, Azure, GCP) Expert

Driving platform selection, architecting multi-cloud/hybrid data strategies, and owning the overall cloud data budget and governance. You'll be making decisions on which services to use, not configuring them directly.

Database Engines (PostgreSQL, MS SQL, Aurora, Cosmos DB, Spanner, etc.) Expert

Setting enterprise standards for database engine selection, evaluating emerging technologies (e.g., Vector DBs, Time-Series DBs), and managing strategic vendor relationships (e.g., Oracle, Microsoft). You'll understand their capabilities and limitations at a deep level.

Infrastructure as Code (IaC) & Automation (Terraform, CloudFormation) Expert

Architecting the entire IaC strategy for data platforms, implementing policy-as-code using tools like Sentinel or OPA, and championing a GitOps approach to database management across your organisation. You'll define the 'how' for your teams.

Monitoring & Observability Platforms (Datadog, New Relic, Prometheus) Expert

Designing and implementing the enterprise-wide observability strategy for data platforms. This includes integrating monitoring data with FinOps tools to correlate cost with performance and ensuring your teams have the insights they need to operate effectively.

Security & Secrets Management (HashiCorp Vault, AWS Secrets Manager) Expert

Architecting the organisation's overall data security posture, designing and owning the secrets management lifecycle, and interfacing directly with GRC teams for audits (SOC 2, ISO 27001). You'll set the security standards.

Version Control Systems (Git, GitHub, GitLab) Advanced

Mandating and enforcing version control and CI/CD best practices across all data infrastructure teams. You'll ensure that all changes to our data platforms are managed through a robust, auditable process.

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
Data Platform Strategy & Roadmap N/A (Learns existing strategy) N/A (Contributes to project execution) N/A (Leads specific workstreams)
Budget Allocation & Vendor Management N/A (Follows cost guidelines) N/A (Reports on project spend) N/A (Recommends tooling within budget)
Organisational Design & Hiring N/A (Individual contributor) N/A (Individual contributor) N/A (Mentors junior staff)
Major Incident Management & Resolution Follows runbooks, escalates immediately Independently resolves routine incidents, escalates complex ones Leads incident response for major issues, acts as final technical escalation

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.

Total Cost of Ownership (TCO) Reduction for Data Platforms
The overall spend on cloud data services, including compute, storage, networking, and licensing, relative to business growth.
Target · Decrease cloud data spend by 15% year-over-year through optimisation, without impacting performance or availability.

If our data platform spend was £5M last year, we'd expect it to be closer to £4.25M this year, even as our user base grows.

Critical System Availability (Uptime)
The percentage of time our most vital databases and data services are fully operational and accessible.
Target · Maintain > 99.999% availability (five nines) for all Tier-0 data platforms.

No more than 5 minutes and 15 seconds of downtime per year for our primary customer database.

Security & Compliance Audit Performance
The number of critical or high-severity findings related to data platform security and compliance during internal and external audits.
Target · Zero critical vulnerabilities found during annual penetration tests or SOC 2/ISO 27001 audits.

A clean bill of health from our external auditors regarding data encryption, access controls, and data residency.

Strategic Project Delivery Rate
The percentage of major data platform initiatives (e.g., new platform adoption, large-scale migrations) delivered on time and within budget.
Target · 90% of strategic data platform programmes delivered on-time and within ±10% of the allocated budget.

Successfully migrating 8 out of 9 legacy databases to cloud-native platforms within the agreed 18-month timeline and budget.

Team Engagement & Retention
The overall satisfaction and retention rate of your direct and indirect reports within the Data Platforms organisation.
Target · Achieve an average engagement score of 8/10 in annual surveys and maintain a voluntary attrition rate below 10% annually.

Our recent engagement survey showed an average score of 8.2, and we've only had two voluntary leavers in the last 12 months from a team of 40.

Strategic Influence & Thought Leadership
How effectively you shape the broader technology strategy and represent the company's data platform vision internally and externally.
  • You're regularly invited to C-Suite strategic planning sessions. Your input is actively sought on major architectural decisions. You present at industry conferences or contribute to relevant open-source projects. You're seen as the go-to expert for all things data infrastructure.
Organisational Design & Talent Development
Your ability to build, mentor, and grow a high-performing data platforms organisation, ensuring we have the right people in the right roles.
  • You've successfully hired and retained key talent, including senior leaders. There's a clear career path for your team members. You've established robust mentorship programmes. Your team is consistently delivering high-quality work and taking on new challenges.
Cross-Functional Partnership & Collaboration
How well you work with other departments (Engineering, Product, Security, Finance) to achieve shared goals and resolve conflicts.
  • You're seen as a trusted partner by other VPs and Directors. You proactively resolve inter-departmental issues. You're able to get different teams on the same page regarding data platform priorities and investments. You're not just 'the database person'
  • you're a business enabler.
Risk Management & Proactive Planning
Your foresight in identifying potential risks to our data platforms (technical, security, operational) and implementing mitigation strategies.
  • You regularly review disaster recovery plans and conduct drills. You've implemented robust security frameworks that prevent incidents. You anticipate future scaling needs and plan for them well in advance. You're known for preventing problems before they even appear on anyone else's radar.

7Would you like it

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

What people enjoy
Shaping Enterprise Strategy

You'll spend a good chunk of your time in strategic planning meetings, working with the CTO and other VPs to define the future direction of our technology. You'll be thinking about how data platforms can enable new business lines or solve significant customer problems.

Leading the initiative to evaluate and adopt a new global data platform that supports our expansion into three new markets over the next five years.

Building High-Performing Teams

A lot of your energy will go into coaching your managers, hiring top talent, and creating an environment where your engineers can thrive. You'll be focused on organisational design, career pathways, and fostering a culture of excellence and psychological safety.

Developing a leadership development programme for your senior engineers and managers, resulting in a 20% promotion rate within your department.

Driving Significant Business Impact

You'll see your decisions directly translate into tangible business outcomes—faster product launches, reduced operational costs, improved customer experience, or enhanced security posture. You'll be accountable for these results and will regularly report on them to senior leadership.

Implementing a new cloud FinOps strategy that reduces our annual data platform spend by £2M while improving performance by 15%.

What frustrates people
  • Dealing with executive-level politics and conflicting priorities from different business units.
  • The slow pace of large-scale organisational change, even when the technical solution is clear.
  • Justifying significant investments in infrastructure to a finance team focused purely on short-term costs.
  • Being the ultimate escalation point for every major incident, even when you're not directly involved in the fix.
  • The constant challenge of attracting and retaining top-tier engineering talent in a competitive market.
  • Balancing the need for innovation with the imperative for stability and compliance in a highly regulated environment.
What this role does not give you
  • Daily hands-on database administration or query tuning.
  • A quiet, heads-down environment with minimal meetings.
  • The ability to make purely technical decisions without considering broader business or financial implications.
  • Immediate gratification from seeing your code or configurations deployed to production.

8Who you work with

This role directly impacts our business unit's ability to scale, innovate, and maintain operational resilience. You're responsible for the foundational data layer that underpins all our products and services. Your decisions on platform strategy, cost optimisation, and security directly affect our profitability, market reputation, and regulatory standing. Frankly, you're a linchpin for future growth and stability.

Inside the business
  • C-Suite (CEO, CTO, COO, CFO)
  • VP of Engineering and other Director-level peers
  • Product Leadership
  • Security & Compliance Teams
  • Finance Business Partners
  • Business Unit Heads
Outside the business
  • Cloud Service Providers (AWS, Azure, GCP)
  • Database Software Vendors (e.g., PostgreSQL, Microsoft)
  • Industry Regulators (depending on sector)
  • Strategic Technology Partners

9What you need before you start

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

  • Extensive experience (16+ years) in data platform engineering or database administration, with at least 5 years in a senior leadership role managing large teams (25+ people, including managers).
  • Proven track record of defining and executing multi-year technology strategies for data infrastructure in a large-scale cloud environment.
  • Demonstrable experience managing significant technology budgets (multi-million £) and driving cost optimisation initiatives.
  • Strong executive presence and a history of successfully presenting complex technical strategies to C-suite executives and board members.
  • Deep understanding of cloud-native data architectures and a strong background in at least one major cloud provider (AWS, Azure, or GCP).

10What to practise next

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

AI/MLOps for Data Platform Automation

Integrating AI and Machine Learning into data platform operations promises self-healing databases, intelligent scaling, and predictive maintenance. This will fundamentally change how we operate and manage our infrastructure, moving towards more autonomous systems.

Anomaly detection for database performance · Predictive scaling based on workload patterns · Automated root cause analysis using AI · Reinforcement learning for database configuration · AI-driven security threat detection for data acces

  • This quarter: Research leading AI/MLOps platforms and their application to database operations.
  • Next quarter: Sponsor a pilot project within your team to use AI for predictive scaling or anomaly detection on a non-critical database.
  • Month 6: Evaluate vendor offerings for AI-driven database management and assess their fit for our enterprise environment.
  • Month 9: Develop a strategy for incrementally adopting AI/MLOps capabilities to enhance our operational efficiency and resilience.

Quick win: Encourage your SREs to experiment with existing cloud provider AI services for monitoring and alerting, like AWS DevOps Guru or Azure Monitor's AI features.

Advanced Data Streaming & Real-time Analytics

The demand for real-time insights and immediate data processing is only growing. As a Director, you'll need to architect and scale sophisticated data streaming platforms that can handle massive volumes of data with low latency, enabling new business capabilities.

Event-driven architectures at scale · Complex event processing (CEP) · Stream processing frameworks (e.g., Apache Flink, · Real-time data warehousing (e.g., Snowflake, BigQu · Data consistency and ordering in distributed strea

  • This quarter: Review our current data streaming capabilities and identify bottlenecks or limitations.
  • Next quarter: Research and evaluate advanced streaming technologies and architectural patterns for high-volume, low-latency use cases.
  • Month 6: Sponsor a proof-of-concept project to implement a new real-time data pipeline for a critical business function.
  • Month 9: Develop a strategic roadmap for evolving our real-time data capabilities to meet future business demands.

Quick win: Identify a low-risk, high-value use case for real-time data (e.g., real-time analytics dashboard) and challenge your team to build it using existing streaming tools.

11Staying current once you are in

What people here do to keep up
  • Actively participate in industry forums, conferences (e.g., AWS re:Invent, Microsoft Ignite, KubeCon), and executive roundtables to stay abreast of emerging trends and network with peers.
  • Engage in continuous learning through online courses (e.g., Coursera, edX, Pluralsight) focusing on cloud architecture, FinOps, AI/ML, and leadership development.
  • Seek out mentorship from established technology leaders and consider executive coaching to further refine your leadership and strategic capabilities.
  • Contribute to open-source projects or publish thought leadership articles to establish your presence as an industry expert.

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 Mesh & Data Fabric Architectures

Organisations are struggling with centralised data bottlenecks. Data Mesh and Fabric offer decentralised, domain-oriented approaches to data ownership and access, promising greater agility and scalability. This is a fundamental shift in how large enterprises think about data.

  • Domain-oriented data ownership
  • Data as a product philosophy
  • Self-serve data infrastructure platform
  • Federated computational governance
  • Interoperability through global standards

Sustainable Cloud Data Architectures

Environmental impact and energy consumption are becoming critical considerations for cloud infrastructure. As a leader, you'll be expected to drive initiatives that reduce our carbon footprint while maintaining performance and cost efficiency. Regulators and investors are increasingly demanding this.

  • Carbon footprint of cloud services
  • Energy efficiency of different database engines an
  • Optimising data transfer and processing for sustai
  • Green software engineering principles for data app
  • Reporting and measuring environmental impact

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Enterprise Data Architecture & Strategy
  • Cloud Governance & Optimisation
  • High Availability (HA) & Disaster Recovery (DR) at Scale
  • Data Security Posture & Compliance
  • M&A Due Diligence & Integration

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

    Principal DBA / Database Engineering Manager

    3-5 years in previous role

    Skills to master

    • Mastering team leadership, managing significant project budgets, owning a specific domain's technology roadmap, and demonstrating strong cross-functional influence.

    You're ready to move on when

    • Successfully led a team of 10-25 engineers, delivering complex data platform initiatives.
    • Developed and executed a multi-year roadmap for a critical data domain (e.g., transactional databases, data warehousing).
    • Consistently achieved significant cost optimisations or performance improvements for managed systems.
    • Presented strategic recommendations to senior leadership (VP-level) and gained buy-in.
  2. 2

    Head of Data Architecture / Lead Data Architect

    4-6 years in previous role

    Skills to master

    • Developing enterprise-wide architectural standards, designing complex multi-cloud data solutions, and influencing technical direction across multiple engineering teams.

    You're ready to move on when

    • Architected and overseen the implementation of several large-scale, enterprise-grade data platforms.
    • Established and enforced architectural governance and best practices across an organisation.
    • Demonstrated the ability to translate business requirements into robust, scalable technical architectures.
    • Acted as a trusted technical advisor to senior engineering leadership.
  3. 3

    Director of Infrastructure / SRE (with Data Specialisation)

    5-7 years in previous role

    Skills to master

    • Deep expertise in site reliability engineering principles, managing large-scale operational teams, and ensuring extreme availability and performance for critical systems, with a strong focus on data infrastructure.

    You're ready to move on when

    • Managed a large SRE or Infrastructure team responsible for mission-critical systems.
    • Implemented advanced observability, automation, and incident response frameworks.
    • Achieved significant improvements in system uptime, MTTR, and operational efficiency.
    • Demonstrated strong leadership during major production incidents and post-mortem processes.

15Where this role leads

The long view: This role can lead to CTO or CIO positions, where technology strategy covers the whole organisation, or to work as a board member or technology advisor.

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 Data Platforms is actually changing.

Where it leads

Roles this leads to

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

  • VP of Infrastructure / VP of Engineering

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 Data Platforms.

Data Analysis and Visualisation Level 7

Applied to your work in Director of Data Platforms

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 Data Platforms
  • Enterprise Data Architecture & Strategy
  • Cloud Governance & Optimisation
  • High Availability (HA) & Disaster Recovery (DR) at Scale
  • Data Security Posture & Compliance
  • M&A Due Diligence & Integration
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 Data Platforms is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. VP of Infrastructure / VP of Engineering

    3-5 years in current role

    From business unit focus to enterprise-wide responsibility.

    • Driving multi-year technology transformation across the entire organisation.
    • Overseeing large-scale M&A integration for all technology assets.
    • Leading company-wide initiatives for operational excellence and security.
    • Representing the company's technology vision to the market and investor community.

  2. Chief Data Officer (CDO)

    4-6 years in current role

    From infrastructure focus to holistic data strategy, governance, and analytics.

    • Establishing a company-wide data literacy programme.
    • Driving the adoption of advanced analytics and machine learning across all business units.
    • Managing external data partnerships and data acquisition strategies.
    • Ensuring ethical and responsible use of data across the enterprise.
Working with AI on the job

Working with AI

Where AI is starting to help

As a Director, your time is incredibly valuable. Imagine if you could cut down on routine analysis, report drafting, and even some strategic planning prep, freeing you up for higher-impact work. That's where AI comes in. It's not about replacing your expertise, but augmenting it, giving you superpowers to lead more effectively.

AI tools are rapidly changing how leaders in Technical_roles operate. For a Director of Data Platforms, this means shifting from manual data crunching and report generation to using AI as a strategic co-pilot. You'll use these tools to gain deeper insights, accelerate decision-making, and communicate your vision more powerfully, ultimately giving you back precious hours every week.

Strategic Platform Roadmapping

Use AI-powered tools to analyse market trends, internal data usage patterns, and vendor roadmaps. It can help you identify optimal future platform investments, predict scaling challenges, and even draft initial strategic proposals, giving you a massive head start on your multi-year plans.

Executive Summary Generation

Feed complex technical reports, detailed incident post-mortems, or lengthy compliance audit findings into an LLM. Ask it to distil the key information into concise, board-ready executive briefings, complete with impact analysis and recommended actions. No more spending hours trying to summarise dense documents.

FinOps Optimisation Insights

Integrate AI with your cloud billing data. It can identify anomalies in cloud spend, recommend specific cost-saving strategies across your database instances (e.g., right-sizing, reserved instances), and forecast future expenditure based on growth projections. This means you're always on top of your budget, proactively identifying where to save money.

Vendor Negotiation Prep

Before a big meeting with a cloud provider or database vendor, use AI to analyse their contracts, identify key negotiation points, and summarise competitor offerings. It can even help you draft counter-proposals, ensuring you're always coming to the table with the strongest possible position and getting the best value for the company.

Common questions

Common questions

How do you become a Director of Data Platforms?

Common routes in include Principal DBA / Database Engineering Manager (3-5 years in previous role), Head of Data Architecture / Lead Data Architect (4-6 years in previous role) and Director of Infrastructure / SRE (with Data Specialisation) (5-7 years in previous role). Times vary with prior experience.

Where can a Director of Data Platforms progress to?

This role can lead on to VP of Infrastructure / VP of Engineering (3-5 years in current role) and Chief Data Officer (CDO) (4-6 years in current role), depending on the skills you build.

What new skills matter most for a Director of Data Platforms?

Increasingly, Data Mesh & Data Fabric Architectures and Sustainable Cloud Data Architectures. 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 7

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

 More jobs in technology and data

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

The skills built in this role, strategic leadership, large-scale cloud data architecture, FinOps and managing technical teams, apply across industries including FinTech, e-commerce, healthcare and SaaS.

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.