UK

United Kingdom · International business · C-Suite (20+ years)

VP, Global Data & Analytics

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.

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  • Experience bandC-Suite (20+ years)
  • Direct reports100 reports
  • Reports toChief Executive Officer (CEO)
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Chief Data Officer (CDO) · Global Head of Data & Insights · Executive Vice President, Enterprise Analytics

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

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 6 of 10 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 4 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 4 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 10 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 10 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
Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Data-led Decision Making Level 6 Award in Data-led Decision Making
Apply the Concepts of Data Science to Computer Engineering NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
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Your Plan Illustration

Built for VP, Global Data & Analytics

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 6 of 10 standards Level 7
  2. Introduction to Data Science and Big Data NCC Education Limited · covers 4 of 10 standards Level 5
  3. Data Analytics Pearson Education Ltd · covers 4 of 10 standards Level 5
  4. Data-led Decision Making Institute of Sales Professionals · covers 1 of 10 standards Level 6
  5. Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 10 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 VP, Global Data & Analytics?

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 Ethics & Responsible AI Governance
  • Data Mesh & Data Product Leadership
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 VP, Global Data & Analytics plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

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

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3What this role really is

This role leads global data and analytics strategy, shaping how an organisation uses data to make decisions and compete.

4What you'd actually use

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

Tableau Server / Power BI Premium Strategic Oversight

You'll define the enterprise strategy for BI platform adoption, manage global licensing and capacity planning, and ensure these platforms serve as the 'single source of truth' for executive reporting. You won't be building dashboards, but you'll own the ecosystem.

Snowflake / SAP BW/4HANA (Architecture) Strategic Oversight

Overseeing the architectural design of our global data warehouse and data lake solutions. This means making high-level decisions on schema design, data ingestion strategies, and ensuring data integrity across complex enterprise systems like SAP.

ETL Tool Selection (e.g., Alteryx, dbt, Fivetran) Strategic Oversight

Evaluating and selecting the optimal suite of ETL and data integration tools based on enterprise needs, scalability, total cost of ownership, and strategic alignment. You'll set the standards for data movement across the organisation.

SQL (Architecture & Governance) Strategic Oversight

Defining global SQL code quality standards, overseeing database schema designs, and ensuring query optimisation best practices are followed by your teams to maintain performance and cost efficiency across our data platforms.

Anaplan / Workday Adaptive Planning Strategic Oversight

Ensuring seamless integration of BI outputs with enterprise financial planning systems. Your role is to guarantee that our strategic forecasts and performance metrics in BI tools align perfectly with the numbers used for financial planning and reporting.

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
Enterprise Data Strategy N/A N/A N/A
Global Data Platform Architecture N/A N/A N/A
Data Monetisation Initiatives N/A N/A N/A
Global Data Governance & Compliance N/A N/A N/A

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.

Enterprise Data ROI
The measurable financial return from data and analytics initiatives, including revenue uplift, cost savings, and risk reduction.
Target · Identify and validate £10M+ in annualised business value from data initiatives.

A new data product you champion leads to a 5% increase in customer lifetime value across our top three markets, contributing £12M in new revenue over 12 months.

Data Governance & Compliance Score
Adherence to global data privacy regulations (e.g., GDPR, CCPA) and internal data quality standards, measured by audit results and incident rates.
Target · Maintain a 'Green' rating in all internal and external data audits; achieve <0.01% data privacy breach incidents.

Successfully pass a comprehensive GDPR audit with zero critical findings, demonstrating robust data lineage and access controls across all regions.

Data Product Adoption & Monetisation
The percentage of key internal stakeholders actively using core data products and the financial contribution from external data monetisation efforts.
Target · Achieve 80%+ monthly active usage for enterprise-level dashboards and identify £5M+ in new data monetisation opportunities.

Our executive dashboard, powered by your team, becomes the single source of truth for QBRs, and we launch a new data API that generates £6M in its first year.

Global Data Literacy Index
The overall capability of the organisation to understand, interpret, and apply data, measured through internal surveys and training completion rates.
Target · Increase the company-wide data literacy score by 15% year-on-year.

After implementing your data education programme, 90% of senior managers report confidence in interpreting complex analytical reports, up from 75% last year.

Board & Investor Confidence
The perception of data and analytics as a strategic differentiator by the Board and external investors, evidenced by their engagement and feedback.
  • Regularly invited to present to the Board on strategic data initiatives
  • positive mentions in investor calls
  • direct feedback from board members on the value of data insights.
Enterprise Data Culture
The extent to which data-driven decision-making is embedded across all levels and functions of the organisation, rather than just being a 'BI team' activity.
  • Data is consistently referenced in strategic planning meetings
  • business units proactively requesting data support for new initiatives
  • data insights driving cross-functional collaboration.
Strategic Influence & Thought Leadership
Your ability to shape the company's overall direction through data insights and represent us as a leader in data & analytics within the industry.
  • Your recommendations directly lead to major strategic pivots or investments
  • invited to speak at industry conferences
  • recognised internally as the definitive voice on data strategy.
Talent Development & Retention
The strength and stability of your global data and analytics team, including their growth, engagement, and ability to attract top talent.
  • High retention rates within your global team
  • internal promotions and career pathing
  • successful recruitment of senior data leaders
  • positive feedback in employee engagement surveys.

7Would you like it

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

What people enjoy
Shaping Enterprise Strategy

You'll spend your days in strategic discussions with the CEO and Board, where your insights directly inform major investments, market expansions, or product pivots. You'll feel the weight of these decisions, but also the thrill of seeing your data vision come to life.

Your analysis of emerging market data leads the Board to approve a £50M investment in a new region, a direct result of your team's insights.

Building a Global Legacy

You're building a world-class data and analytics capability from the ground up (or transforming an existing one). This means designing global data architectures, setting governance standards for hundreds of employees, and seeing your work become the bedrock of the company's long-term success.

You successfully integrate data from three recent acquisitions into a unified enterprise data platform, unlocking new cross-selling opportunities worth millions.

Navigating Complex Challenges

If you thrive on solving truly difficult, multi-faceted problems—like harmonising data privacy across 50 countries, or building a data monetisation model that satisfies both legal and commercial teams—then you'll be in your element. No two days will be the same, and the stakes are always high.

You successfully lead the company through a major data breach incident, ensuring compliance, restoring trust, and implementing new preventative measures that become industry best practice.

What frustrates people
  • The sheer scale of legacy data debt and the resistance to investing in foundational data quality.
  • The constant need to educate and re-educate executive peers on the strategic value of data beyond simple reporting.
  • Navigating complex global regulatory changes that impact our data strategy and operations.
  • The challenge of attracting and retaining top data talent in a highly competitive global market.
  • Dealing with internal political battles over data ownership, budget allocation, and project prioritisation.
What this role does not give you
  • A quiet, predictable work environment with minimal stakeholder interaction.
  • The opportunity to be a deep technical individual contributor (IC) for the majority of your time.
  • A role where all your projects are guaranteed to see immediate, tangible results.
  • Freedom from significant budget constraints or the need to constantly justify investment in data initiatives.

8Who you work with

This role directly impacts the company's P&L, typically influencing £10M+ in revenue generation, cost optimisation, and risk mitigation. You'll be accountable for setting the enterprise's data vision, shaping its market position, and ensuring data governance across all global operations. Your decisions will fundamentally alter how the business competes and grows on a multi-year horizon.

Inside the business
  • CEO and Executive Leadership Team (ELT)
  • Board of Directors
  • Chief Financial Officer (CFO) and Global Finance
  • Chief Product Officer (CPO) and Product Leadership
  • Global Sales and Marketing VPs
  • Chief Technology Officer (CTO) and Engineering Leadership
  • Chief Legal Officer (CLO) and Legal/Compliance
Outside the business
  • Key Investors and Analysts
  • Industry Regulators (e.g., GDPR, CCPA, local data privacy authorities)
  • Strategic Partners and Vendors
  • Industry Bodies and Thought Leaders

9What you need before you start

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

  • 20+ years of progressive experience in data, analytics, and business intelligence, with at least 5-7 years in a global executive leadership role (e.g., Director or VP level).
  • Demonstrable experience managing a global team of 100+ data professionals, including other managers and directors.
  • Proven track record of defining and executing enterprise-wide data strategies that have delivered significant, measurable business value (e.g., £10M+ impact).
  • Extensive experience presenting complex data insights and strategic recommendations to Board-level audiences and external investors.
  • Deep expertise in global data governance, privacy regulations (e.g., GDPR), and managing enterprise-level data risk.
  • Significant P&L management experience for a large data or technology function.
  • Experience leading data aspects of M&A due diligence and post-acquisition integration.

10What to practise next

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

Quantum Computing & Data Implications

Long-term strategic importance (3-5 years)—while not mainstream yet, quantum computing has the potential to fundamentally disrupt data processing, encryption, and optimisation. As a C-suite leader, you need to be aware of its potential and start planning for its eventual impact on our data strategy and security.

Quantum Supremacy · Post-Quantum Cryptography · Quantum Machine Learning · Quantum Sensors & Data Generation

  • This year: Attend executive briefings or webinars on quantum computing's business implications.
  • Next 2 years: Fund a small R&D project to explore quantum-safe encryption for our most sensitive data.
  • Next 3-5 years: Develop a 'quantum readiness' roadmap for our data infrastructure and security protocols.
  • Ongoing: Maintain a network of experts in quantum computing to stay informed of advancements.

Quick win: Allocate a small budget for your R&D team to explore open-source quantum computing frameworks (e.g., Qiskit) and report back on potential future use cases.

11Staying current once you are in

What people here do to keep up
  • Regularly engage with industry thought leaders and participate in executive-level data and AI conferences (e.g., Gartner Data & Analytics Summit, World Summit AI).
  • Maintain a strong network of C-suite peers and venture capitalists to stay abreast of market trends and emerging technologies.
  • Actively mentor rising talent within the organisation and externally, contributing to the broader data community.
  • Consider serving on advisory boards for data start-ups or industry bodies to broaden your perspective and influence.

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 Ethics & Responsible AI Governance

Critical within 12 months—this isn't just a 'nice to have' anymore; it's a strategic imperative. Public trust, regulatory scrutiny, and brand reputation are increasingly tied to how responsibly we use data and AI. Getting this wrong can lead to massive fines and irreparable damage.

  • AI Explainability (XAI)
  • Bias Detection & Mitigation
  • Privacy-Preserving AI
  • Ethical AI Frameworks

Data Mesh & Data Product Leadership

Important within 18 months—the traditional centralised data lakehouse model is struggling to keep up with the scale and speed of global enterprises. Data Mesh offers a decentralised, domain-oriented approach that treats data as a product, empowering business units while maintaining governance. This is a significant organisational and architectural shift.

  • Domain-Oriented Data Ownership
  • Data as a Product
  • Self-Serve Data Platform
  • Federated Computational Governance

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Enterprise Data Strategy & Architecture
  • Global Data Governance & Stewardship
  • Data Monetisation & Productisation
  • Advanced Analytics & AI Strategy
  • P&L Management & Budget Oversight

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

    Director of Global BI / Analytics (Large Enterprise)

    3-5 years at Director level before VP

    Skills to master

    • Managing multi-regional teams, owning significant departmental P&L, influencing C-suite peers, defining functional strategy, building strong external vendor relationships.

    You're ready to move on when

    • Successfully led a major global data transformation programme (e.g., cloud migration, new data platform implementation).
    • Demonstrated ability to consistently deliver measurable business value from data initiatives (£5M+ annual impact).
    • Proven track record of building and retaining high-performing data leadership teams.
    • Regularly presenting strategic data insights to executive leadership and gaining their buy-in.
  2. 2

    Chief Data Officer (CDO) / VP Data for a Smaller/Mid-sized Company

    2-4 years as CDO/VP before moving to a larger enterprise

    Skills to master

    • Full accountability for enterprise data strategy, building a data function from scratch, direct Board interaction, managing all aspects of data governance and security, data monetisation.

    You're ready to move on when

    • Successfully established and scaled a data function in a growing company, demonstrating end-to-end ownership.
    • Directly influenced the company's P&L through data-driven initiatives.
    • Developed and executed a comprehensive data governance framework.
    • Proven ability to attract investment or secure funding for data initiatives.

15Where this role leads

The long view: This work can lead to a chief executive role, or to advising and investing in data and AI companies as a venture partner or non-executive director.

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 VP, Global Data & Analytics is actually changing.

Where it leads

Roles this leads to

The record names a next step, but the catalogue has no page for it yet:

  • Chief Operating Officer (COO) / Chief Strategy Officer (CSO)
  • Board Member / Non-Executive Director

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 VP, Global Data & Analytics.

Data Analysis and Visualisation Level 7

Applied to your work in VP, Global Data & Analytics

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.

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VP, Global Data & Analytics
  • Enterprise Data Strategy & Architecture
  • Global Data Governance & Stewardship
  • Data Monetisation & Productisation
  • Advanced Analytics & AI Strategy
  • P&L Management & Budget Oversight
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

VP, Global Data & Analytics is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Chief Operating Officer (COO) / Chief Strategy Officer (CSO)

    3-5 years as VP, Global Data & Analytics

    Lateral move, but with broader enterprise scope and P&L accountability for operations or overall strategy.

    • Operational Excellence Frameworks Implementing Lean, Six Sigma, or other methodologies at an enterprise scale.
    • Global Supply Chain Optimisation Using data to drive efficiency and resilience across complex international supply chains.
    • Organisational Design & Development Structuring the entire company for optimal performance and growth.

  2. Board Member / Non-Executive Director

    5+ years as VP, Global Data & Analytics

    Transition to a governance and advisory role, often across multiple organisations.

    • Risk Committee Oversight Contributing to the board's oversight of enterprise risk, particularly in data security and AI ethics.
    • Audit Committee Engagement Providing expertise on financial reporting, internal controls, and data integrity for audit purposes.
    • Succession Planning Participating in the board's role in executive succession and talent development.
Working with AI on the job

Working with AI

Where AI is starting to help

As VP, Global Data & Analytics, your time is incredibly valuable. Imagine reclaiming dozens of hours each week, not just for yourself, but for your entire leadership team. That's the reality when you strategically integrate AI into executive workflows.

We're not talking about basic automation; we're talking about AI as a force multiplier for strategic thinking, communication, and risk management at the highest levels. This isn't just about efficiency; it's about gaining a distinct competitive edge.

Board Deck & Investor Report Generation

Use advanced LLMs to draft comprehensive executive summaries, key findings, and even initial slides for Board presentations and investor reports. AI can synthesise vast amounts of internal and external data, highlighting critical trends and variances, saving your team days of preparation time. You'll focus on refining the narrative and strategic implications, not the first draft.

Enterprise Risk & Anomaly Detection

Deploy AI-driven anomaly detection across all critical business processes and data streams. This means proactively identifying unusual patterns in financial transactions, supply chain data, or customer behaviour that could signal emerging risks or opportunities. You'll get real-time alerts on potential £ multimillion issues, allowing for immediate strategic intervention.

Global Market & Regulatory Intelligence

Use AI to continuously monitor and summarise global market trends, competitor activities, and evolving data privacy regulations across all our operating regions. This provides your team with a constantly updated, synthesised view of the external landscape, informing strategic pivots and ensuring proactive compliance without manual research overload.

Strategic Communication & Policy Drafting

Leverage AI to generate first drafts of complex internal communications (e.g., new data governance policies, company-wide data literacy initiatives) or external statements (e.g., responses to regulatory inquiries). This ensures consistent, clear, and compliant messaging, freeing up your time for direct stakeholder engagement and high-level negotiation.

Common questions

Common questions

How do you become a VP, Global Data & Analytics?

Common routes in include Director of Global BI / Analytics (Large Enterprise) (3-5 years at Director level before VP) and Chief Data Officer (CDO) / VP Data for a Smaller/Mid-sized Company (2-4 years as CDO/VP before moving to a larger enterprise). Times vary with prior experience.

Where can a VP, Global Data & Analytics progress to?

This role can lead on to Chief Operating Officer (COO) / Chief Strategy Officer (CSO) (3-5 years as VP, Global Data & Analytics) and Board Member / Non-Executive Director (5+ years as VP, Global Data & Analytics), depending on the skills you build.

What new skills matter most for a VP, Global Data & Analytics?

Increasingly, Data Ethics & Responsible AI Governance and Data Mesh & Data Product Leadership. 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 international business

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

The skills in this role apply across industries such as FinTech, healthcare, retail and manufacturing, since most sectors need leaders who can use data strategically.

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 VP, Global Data & Analytics plan, free 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.