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

Director of Marketing 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 bandDirector/VP (16-20 years)
Direct reports3-8 reports
Reports toChief Marketing Officer (CMO)
UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as VP of Marketing Intelligence · Head of Marketing Science · Director of Data & Insights (Marketing)

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 4 of 10 standards

Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 3 of 10 standards

Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 10 standards

Gateway Qualifications Level 2 Award in Digital Marketing Gateway Qualifications Limited · Level 2 · covers 3 of 10 standards

OCNLR Level 4 Diploma in Digital Marketing OCN London · Level 4 · covers 3 of 10 standards

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 3 of 10 standards

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

The units you would start with

Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science

Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England

Digital Marketing Gateway Qualifications Level 2 Award in Digital Marketing

Digital Analytics OCNLR Level 4 Diploma in Digital Marketing

Data Analytics Primer NOCN Level 4 certificate for Data Analysts

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

Systems Fluency seeing the whole picture

Trust Fluency keeping the digital world safe

Start my Director of Marketing Analytics plan, free

Your Plan Illustration

Built for Director of Marketing Analytics

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

Data Analysis and Visualisation OTHM Qualifications · covers 4 of 10 standards Level 7
Data Analytics Pearson Education Ltd · covers 3 of 10 standards Level 5
Digital Marketing Gateway Qualifications Limited · covers 3 of 10 standards Level 2
Digital Analytics OCN London · covers 3 of 10 standards Level 4
Data Analytics Primer NOCN · covers 3 of 10 standards Level 4

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 Marketing 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

Ethical AI & Explainable AI (XAI) in Marketing
Privacy-Enhancing Technologies (PETs) & Synthetic Data

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
AI Governance Fluencyusing AI responsibly
Systems Fluencyseeing the whole picture
Trust Fluencykeeping the digital world safe

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 Marketing 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 job means leading the marketing analytics function, setting direction, building a team, and making sure marketing spend is backed by solid data. You act as the go-to person when the CMO, CEO or Board need to understand what is driving growth.

4What you'd actually use

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

Google Analytics 4 (GA4) / Adobe Analytics Strategic

Governing the enterprise-wide analytics strategy, evaluating alternative platforms (e.g., Adobe Analytics, Mixpanel), and ensuring data collection aligns with overarching business objectives and privacy regulations. You'll set the vision for what we measure and why.

SQL (Google BigQuery / Snowflake) Architect

Designing the marketing data warehouse schema, defining data governance policies for critical marketing datasets, and making strategic build-vs-buy decisions on ETL/ELT pipelines (e.g., Fivetran, Stitch) to ensure data availability and quality.

Tableau / Looker Studio / Power BI Strategic

Managing the enterprise BI platform (e.g., Tableau Server), setting standards for data visualisation and dashboard design, and ensuring executive dashboards provide clear, actionable insights that drive strategic decision-making at the highest levels.

Salesforce / HubSpot / Marketo Strategic

Owning the marketing/sales data integration strategy, working closely with Revenue Operations to define and enforce data hygiene standards, and ensuring lead scoring models accurately reflect business priorities and funnel dynamics.

Google Tag Manager (GTM) / Tealium / Segment (CDP) Architect

Setting the enterprise-wide data collection and tagging strategy, evaluating and implementing Customer Data Platforms (CDPs) like Segment or Tealium, and ensuring robust, privacy-compliant data capture across all digital properties.

Python (pandas, scikit-learn, ML frameworks) Strategic

Championing the use of advanced analytics and data science within Marketing, scoping and managing projects for building proprietary predictive models (e.g., churn, LTV, propensity to buy), and evaluating external ML platforms (e.g., DataRobot, Vertex AI).

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 choice	Coming in	Where you are now	The step above
Strategic Direction of Marketing Analytics	No input. Executes tasks defined by others.	Proposes minor improvements to existing processes.	Designs new analytical frameworks and makes recommendations to leadership.
Marketing Analytics Budget Allocation	No budget authority. Follows expense guidelines.	Suggests tool purchases for individual use (e.g., a specific data visualisation licence).	Recommends budget for project-specific tools or training up to £5K.
Hiring & Team Structure	No hiring authority. May participate in interviews as a peer.	Provides feedback on junior candidates.	Interviews junior and mid-level candidates, provides strong recommendations.

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.

Marketing ROI / ROAS Improvement

The measurable year-on-year improvement in our overall marketing efficiency, specifically how much revenue we generate for every pound spent.

Target · Contribute to a measurable 10-15% YoY improvement in overall marketing efficiency (e.g., ROAS or ROI).

If our overall ROAS was 3.0x last year, your team's insights should help us push it to 3.3x-3.45x this year, directly attributable to data-driven budget shifts or campaign optimisations.

Marketing Budget Influence

The proportion of the total marketing budget whose allocation is directly informed and influenced by your team's analytical recommendations.

Target · Analytical recommendations directly influence the allocation of >25% of the total marketing budget (e.g., £2M+ of a £8M budget).

During the annual planning cycle, your team's attribution models and incrementality studies lead to a documented shift of £2.5M from underperforming channels to high-growth areas, representing 30% of the total budget.

Marketing Data Maturity Score

Advancing the department's analytics capability, moving us up the data maturity curve from basic reporting to predictive and prescriptive analytics.

Target · Advance the department's analytics capability score (e.g., from 'Descriptive' to 'Predictive') as measured by an internal framework or external benchmark.

By the end of the year, we've successfully implemented a new customer lifetime value (CLV) prediction model that's actively used for segmentation, moving us from merely 'reporting CLV' to 'predicting and acting on CLV'.

Team Performance & Retention

The overall effectiveness and stability of your analytics team, measured by individual performance, project delivery, and staff retention.

Target · Maintain a team retention rate of >85% and achieve >90% on-time delivery for strategic analytics projects.

Despite market competition, your team's voluntary churn is below 10%, and all key strategic initiatives, like the new MMM framework, were delivered within the agreed timelines.

Strategic Impact & Executive Trust

Your ability to translate complex data into clear, actionable strategic recommendations that are adopted by the C-suite and Board, and your standing as a trusted advisor.

You're regularly invited to C-suite strategy sessions, your opinions are actively sought on major marketing investments, and your team's insights form a core part of board presentations. You're seen as the 'data conscience' of the marketing department.

Organisational Influence & Collaboration

Your effectiveness in driving cross-functional alignment on data definitions, measurement methodologies, and strategic priorities across Marketing, Product, Sales, and Finance.

You've successfully led initiatives to standardise KPIs across departments, resolved long-standing data discrepancies between Marketing and Sales, and established a clear roadmap for shared data infrastructure. People from other departments proactively reach out to your team for collaboration.

Innovation & Future-Proofing

Your leadership in identifying and implementing new analytical techniques, tools, and data sources that keep our marketing analytics capability ahead of the curve.

Your team has successfully piloted and adopted new attribution models, integrated novel data sources (e.g., external market data), or championed privacy-preserving measurement techniques. You're always exploring what's next, not just maintaining the status quo.

Talent Development & Leadership

Your ability to mentor and grow your direct reports and the wider analytics team, fostering a culture of continuous learning, high performance, and psychological safety.

Your direct reports are consistently promoted or take on more significant responsibilities. You've implemented effective training programmes, and team members feel supported to take risks and learn from mistakes. You're a recognised leader within the broader data community in the company.

7Would you like it

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

What people enjoy

Shaping Organisational Strategy

You'll spend a good chunk of your time in strategic planning meetings, challenging assumptions, and presenting data-backed scenarios for future growth. Seeing your team's insights directly influence the CMO's annual plan or a major product launch is a huge win for you.

Leading the quarterly business review where your team's attribution model leads to a £1M reallocation of budget to a new channel, which then drives significant growth.

Building High-Performing Teams

You get a real buzz from seeing your managers develop their leadership skills, and your analysts grow into senior roles. Coaching, mentoring, and creating a supportive, challenging environment where people can do their best work is a core part of your satisfaction.

One of your Lead Analysts gets promoted to Manager, directly attributing their growth to your guidance and the opportunities you created.

Driving Measurable Business Transformation

You're not content with incremental improvements. You're always looking for the big levers—the fundamental shifts in how we acquire, retain, and understand customers—that data can unlock. Seeing a multi-year data initiative come to fruition and deliver significant ROI is what gets you up in the morning.

Successfully implementing a new Customer Data Platform (CDP) that unifies customer data, leading to a 20% increase in personalisation effectiveness and a reduction in customer churn.

What frustrates people

Dealing with executive-level 'HiPPO' (Highest Paid Person's Opinion) decisions that contradict robust data analysis.
Navigating complex organisational politics to get buy-in for data initiatives that cross departmental boundaries.
Constant pressure to deliver faster insights with imperfect data, especially when privacy regulations tighten.
Recruiting and retaining top-tier analytics talent in a highly competitive market.
Managing legacy systems and data silos that hinder a unified customer view, despite strategic investment.

What this role does not give you

A purely technical, hands-on individual contributor role.
A predictable, unchanging work environment with clear, linear projects.
Complete autonomy over the entire marketing budget without needing to justify decisions to the C-suite.
A role where every single recommendation is immediately adopted without debate or compromise.

8Who you work with

This role shapes the entire marketing organisation's ability to make data-driven decisions, directly influencing multi-million-pound budget allocations, campaign effectiveness, customer acquisition costs, and overall business growth. Your work will directly impact our competitive advantage in the market.

Inside the business

Chief Marketing Officer (CMO)
Chief Executive Officer (CEO)
Chief Financial Officer (CFO)
VP of Product
VP of Sales
Head of Data Engineering
Board of Directors

Outside the business

Key Agency Partners (Media, Creative)
Technology Vendors (e.g., CDP, Attribution platforms)
Industry Bodies & Regulators
Investors (for strategic updates)

9What you need before you start

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

A proven track record of leading and scaling a data analytics function (ideally within Marketing) for at least 5-8 years, including managing managers.
Demonstrable experience in defining and executing multi-year data strategies that have driven significant business impact and ROI.
Extensive experience presenting complex data insights and strategic recommendations to C-suite executives and Board members, with a clear ability to influence decisions.
Deep expertise in at least two major marketing analytics domains (e.g., attribution, CLV, MarTech strategy) at an enterprise level.
A strong understanding of data governance, data quality, and global privacy regulations (GDPR, CCPA) and how to implement compliant practices.
Experience managing significant departmental budgets (e.g., £500K+ annually) for talent, tools, and external services.

10What to practise next

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

Data Mesh Architecture for Marketing

As data volumes and complexity grow, the traditional centralised data lake/warehouse model can become a bottleneck. Data Mesh proposes a decentralised approach, treating data as a product owned by domain teams. This will fundamentally change how marketing data is managed, accessed, and governed.

Domain-Oriented Data Ownership · Self-Serve Data Infrastructure · Federated Computational Governance · Data as a Product Thinking

This quarter: Read up on Data Mesh principles (e.g., Zhamak Dehghani's work) and understand its implications for marketing data.
Next quarter: Initiate discussions with your Head of Data Engineering/CDO about how a Data Mesh approach could benefit marketing analytics.
Month 6: Identify one critical marketing data product (e.g., a unified customer profile) and begin defining its ownership, quality standards, and API for wider consumption.
Month 9: Start designing a roadmap for transitioning key marketing datasets into a data product model, outlining necessary infrastructure and team changes.

Quick win: Start treating one of your team's core dashboards or data marts as a 'data product' internally. Document its schema, define clear data quality checks, and establish an 'SLA' for its availability and accuracy.

11Staying current once you are in

What people here do to keep up

Regularly attending and speaking at leading industry conferences (e.g., Marketing Analytics Summit, eMetrics, Data & AI Summit) to stay abreast of trends and network with peers.
Participating in executive leadership programmes or workshops focused on strategic decision-making, organisational change, or digital transformation.
Mentoring junior talent both within and outside your organisation, giving back to the analytics community and honing your leadership skills.
Engaging with industry thought leaders and contributing to discussions on the future of marketing data, AI, and privacy.
Subscribing to and actively reading leading publications and research in data science, marketing, and business strategy.

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.

Ethical AI & Explainable AI (XAI) in Marketing

As we increasingly rely on AI and machine learning for everything from budget allocation to customer segmentation, understanding the ethical implications, potential biases, and how to explain complex model decisions to regulators and non-technical stakeholders will become paramount. Trust in AI is crucial.

AI Bias Detection & Mitigation
Model Interpretability Techniques (LIME, SHAP)
Responsible AI Frameworks
Privacy-Preserving Machine Learning

Privacy-Enhancing Technologies (PETs) & Synthetic Data

With the ongoing deprecation of third-party cookies, stricter privacy regulations, and increased consumer demand for data protection, traditional measurement methods are becoming obsolete. PETs and synthetic data offer ways to maintain analytical capabilities without compromising individual privacy—this is the future of data.

Differential Privacy
Federated Learning
Homomorphic Encryption
Synthetic Data Generation

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Enterprise-level Multi-Touch Attribution (MTA) & Marketing Mix Modeling (MMM)
Global Data Governance & Privacy Compliance
Marketing Technology (MarTech) & Customer Data Platform (CDP) Strategy
Advanced Customer Lifetime Value (CLV) & Segmentation Strategies
Business Case Development & Financial Modelling

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
From Marketing Analytics Manager (L5)
Typically 3-5 years as a Marketing Analytics Manager, demonstrating consistent strategic impact and team leadership.
Skills to master
- Moving from managing individual contributors to managing managers, developing a multi-year strategic vision, influencing C-suite stakeholders, and owning larger P&L responsibilities.
You're ready to move on when
- Successfully led a major cross-functional analytics project from inception to business impact.
- Consistently delivered on team KPIs and developed multiple team members into more senior roles.
- Demonstrated ability to present complex insights to senior leadership with actionable recommendations.
- Taken initiative to define and implement new analytical methodologies or tools for the department.
2
From Lead/Staff Marketing Data Analyst (L4) (rare, fast-track)
This is less common, but possible for exceptional individuals who've spent 5+ years as a Lead/Staff Analyst and demonstrated significant leadership potential and strategic thinking beyond their technical remit.
Skills to master
- Rapidly developing people management skills, mastering executive communication, and building a broad understanding of the entire marketing ecosystem and business strategy.
You're ready to move on when
- Architected and delivered a foundational analytics system that transformed a key business process.
- Informally mentored multiple junior analysts with demonstrable impact on their careers.
- Proactively identified major business opportunities or risks through data, and successfully championed solutions to senior leadership.
- Demonstrated strong project management and stakeholder management skills on complex, multi-team initiatives.
3
From Director-level role in adjacent data function
Roughly 3-7 years as a Director in a related field like Product Analytics, Business Intelligence, or Data Science, with a strong interest and understanding of marketing dynamics.
Skills to master
- Deep dive into specific marketing domain knowledge (e.g., attribution, MarTech), understanding the unique challenges of marketing data, and adapting leadership style to a new departmental culture.
You're ready to move on when
- Proven success in leading a data function in a complex, fast-paced environment.
- Strong understanding of commercial drivers and how data impacts business outcomes.
- Demonstrated ability to quickly learn a new domain and apply analytical rigour to its challenges.
- Excellent track record of building and developing high-performing data teams.

15Where this role leads

The long view: From here, the path can lead to running broader marketing functions as a CMO, taking on enterprise-wide data leadership as a CDO, or advising at board level.

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 Marketing Analytics is actually changing.

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 Marketing Analytics.

Data Analysis and Visualisation Level 7

Applied to your work in Director of Marketing 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 Remember
2 Understand
3 Apply
4 Analyse
5 Evaluate
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.

Start my Director of Marketing Analytics plan, free

See Your Progress Grow Illustration

Director of Marketing Analytics

Enterprise-level Multi-Touch Attribution (MTA) & Marketing Mix Modeling (MMM)
Global Data Governance & Privacy Compliance
Marketing Technology (MarTech) & Customer Data Platform (CDP) Strategy
Advanced Customer Lifetime Value (CLV) & Segmentation Strategies
Business Case Development & Financial Modelling

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

VP of Marketing Intelligence
3-5 years in the Director role, demonstrating consistent, high-impact strategic leadership.

This is a natural next step, expanding your remit to integrate marketing data more deeply into broader business intelligence, potentially overseeing a larger scope that includes market research and competitive intelligence. You'll move from shaping marketing strategy to actively influencing overall business strategy through intelligence.
- Advanced Predictive Analytics for Enterprise Developing predictive models that span across sales, product, and marketing.
- Data Product Management at Scale Overseeing the creation and delivery of data products for various business units.
- Strategic Vendor Management for Enterprise BI/AI Managing relationships with major enterprise-level BI and AI vendors.
- M&A Due Diligence & Integration (Expanded Scope) Leading data integration for larger, more complex M&A activities.
Chief Marketing Technology Officer (CMTO)
4-6 years in the Director role, with a strong emphasis on MarTech strategy and implementation.

This pathway focuses more on the technological architecture and operationalisation of marketing. You'd own the entire MarTech stack, bridging the gap between marketing strategy and technology execution, often reporting directly to the CMO or even the CTO.
- Marketing Automation & CRM Optimisation Strategic oversight of all marketing automation and CRM platforms.
- Ad Tech & Programmatic Strategy Leading the strategy for programmatic advertising and ad tech integrations.
- Data Integration & ETL/ELT Architecture Deep technical understanding of data flow between marketing systems.
- AI/ML Operations (MLOps) for Marketing Operationalising and maintaining AI/ML models in a production marketing environment.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real: as a Director, your time is precious. You're not meant to be bogged down in manual data aggregation or drafting every single email. AI isn't just a tool for your analysts; it's a strategic amplifier for your leadership, freeing you up to focus on what truly matters: vision, strategy, and people.

Imagine if your team could deliver insights faster, if strategic reports practically wrote themselves, and if you had a co-pilot for every complex decision. That's the reality AI offers. We're integrating cutting-edge AI tools to take the grunt work out of data, allowing you and your team to spend more time on high-impact, strategic thinking.

Strategic Insight Synthesis

Use AI tools to automatically summarise vast amounts of market research, competitor analysis, and internal performance reports. Get concise, actionable strategic briefs that highlight key opportunities and threats, ready for your executive presentations, saving you hours of reading and synthesis.

Predictive Budget Allocation

Leverage AI-powered models that forecast campaign performance and recommend optimal budget allocation across various marketing channels. This helps you identify high-impact areas and justify significant budget shifts with data, rather than relying solely on historical trends or gut feeling.

Executive Presentation Drafting

Let AI draft initial versions of your board presentations, distilling complex data points into clear narratives and suggesting visual concepts. You'll spend less time on slide creation and more time refining the strategic message and preparing for tough questions, making your presentations more impactful.

Team Productivity & Skill Uplift

Champion the integration of AI tools into your team's workflows. This boosts their output on routine tasks (like code generation or anomaly detection), allowing your analysts to focus on higher-value, complex problem-solving and strategic initiatives, ultimately elevating the entire function's capability.

Common questions

How do you become a Director of Marketing Analytics?

Common routes in include From Marketing Analytics Manager (Typically 3-5 years as a Marketing Analytics Manager, demonstrating consistent strategic impact and team leadership.), From Lead/Staff Marketing Data Analyst (rare, fast-track) (This is less common, but possible for exceptional individuals who've spent 5+ years as a Lead/Staff Analyst and demonstrated significant leadership potential and strategic thinking beyond their technical remit.) and From Director-level role in adjacent data function (Roughly 3-7 years as a Director in a related field like Product Analytics, Business Intelligence, or Data Science, with a strong interest and understanding of marketing dynamics.). Times vary with prior experience.

Where can a Director of Marketing Analytics progress to?

This role can lead on to VP of Marketing Intelligence (3-5 years in the Director role, demonstrating consistent, high-impact strategic leadership.) and Chief Marketing Technology Officer (CMTO) (4-6 years in the Director role, with a strong emphasis on MarTech strategy and implementation.), depending on the skills you build.

What new skills matter most for a Director of Marketing Analytics?

Increasingly, Ethical AI & Explainable AI (XAI) in Marketing and Privacy-Enhancing Technologies (PETs) & Synthetic Data. These are the skills our record of this role lists as growing.

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 Director of Marketing 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.

Director of Marketing Analytics

Where should we send it?

Two short quizzes about you

Will AI change your work as a Director of Marketing Analytics?

What's rising in its place

Ethical AI & Explainable AI (XAI) in Marketing

Privacy-Enhancing Technologies (PETs) & Synthetic Data

Skills this role draws on

Technical

How you actually get there, here

From Marketing Analytics Manager (L5)

From Lead/Staff Marketing Data Analyst (L4) (rare, fast-track)

From Director-level role in adjacent data function

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

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

VP of Marketing Intelligence

Chief Marketing Technology Officer (CMTO)

Where AI is starting to help

Strategic Insight Synthesis

Predictive Budget Allocation

Executive Presentation Drafting

Team Productivity & Skill Uplift

Common questions

Want a read on where you stand?