UK

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

Director of Marketing Analytics & Insights

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

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

Also advertised as Head of Marketing Data & Strategy · VP, Marketing Intelligence · Lead, Commercial Analytics (Marketing) · Chief Marketing Data Officer

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 5 of 16 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 4 of 16 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 16 standards
Gateway Qualifications Level 2 Award in Digital Marketing Gateway Qualifications Limited · Level 2 · covers 5 of 16 standards
NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 5 of 16 standards
Gateway Qualifications Level 2 Certificate in Business Gateway Qualifications Limited · Level 2 · covers 4 of 16 standards

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

The units you would start with

Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Digital Marketing Gateway Qualifications Level 2 Award 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
Foresight Fluency seeing round the corner
Change Fluency taking people through change
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Your Plan Illustration

Built for Director of Marketing Analytics & Insights

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 5 of 16 standards Level 7
  2. Data Analytics Pearson Education Ltd · covers 4 of 16 standards Level 5
  3. Digital Marketing Gateway Qualifications Limited · covers 5 of 16 standards Level 2
  4. Data Analytics Primer NOCN · covers 5 of 16 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 & Insights?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Ethical AI & Responsible Data Use Leadership
  • Advanced Data Storytelling for Board & Investor Relations
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 Marketing Analytics & Insights 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 leads the analytics work behind a business unit's marketing strategy. You lead the team that turns data into decisions, shaping budgets, campaigns and product launches for senior leaders including the VP of Marketing.

4What you'd actually use

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

Adobe Analytics / Google Analytics 4 (GA4) 360 Expert

Leading the definition of enterprise-wide measurement strategies, architecting data collection schemas, overseeing complex custom reporting, and leveraging BigQuery exports for advanced data science initiatives.

Tableau Server / Power BI Premium (or similar enterprise BI platform) Expert

Managing platform governance, establishing best practices for the entire organisation, and creating executive-level strategic dashboards for Board reporting and C-suite decision-making. You'll be the ultimate approver of enterprise dashboards.

Salesforce / Marketo / Adobe Experience Cloud (or similar enterprise CRM/Marketing Automation) Expert

Architecting the full marketing technology stack, defining the lead scoring model, ensuring data integrity across the customer lifecycle, and driving integration with other business systems for a unified customer view.

Snowflake / Databricks (or similar cloud data warehouse/lakehouse) Expert

Designing and managing the marketing data warehouse schema, optimising query performance for large datasets, establishing data governance policies, and ensuring scalable data infrastructure for advanced analytics and AI.

Anaplan / Pigment (or similar enterprise planning platform) Expert

Using dedicated financial/marketing planning platforms to model marketing mix, budget allocation, long-range forecasting, and scenario planning at a strategic, business unit level.

Tealium / Segment (or similar Customer Data Platform - CDP) Expert

Architecting and managing a Customer Data Platform (CDP) and server-side tagging strategy for the entire enterprise, ensuring a unified, real-time customer profile for personalisation and activation.

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
Marketing Analytics Strategy & Roadmap No input, follows defined tasks. Contributes ideas for specific projects, executes tasks. Designs and proposes workstream strategies, influences project prioritisation.
Marketing Technology (MarTech) Stack Investment Uses existing tools as instructed. Recommends minor tool improvements or new features. Evaluates new tools for specific projects, makes recommendations to managers.
Team Hiring & Organisational Design No involvement. Interviews junior candidates. Interviews mid-level candidates, provides feedback on team structure.
Strategic Recommendations to Board/C-suite Provides data for reports. Summarises findings for manager. Presents findings to department heads.

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 (Return on Investment) Improvement
The overall increase in the efficiency and effectiveness of our marketing spend, directly attributable to insights and recommendations from your team.
Target · A measurable 10-15% improvement in overall Marketing ROI for the business unit within 12 months.

Your team's multi-touch attribution model identifies that reallocating £2M from display ads to content marketing will increase overall ROI by 12%, leading to an additional £2.4M in revenue.

Marketing Budget Influence & Reallocation
The percentage of the total marketing budget that is reallocated or optimised based on data-driven recommendations from your analytics function.
Target · Influence the reallocation of >15% of the total marketing budget (£2M-£10M+) annually based on performance insights.

After a deep dive into channel performance, you present to the CMO and secure a decision to shift £1.5M from underperforming channels to high-LTV customer acquisition campaigns, directly impacting the next year's budget.

Data-Driven Decision Adoption Rate
The proportion of major marketing campaigns, product launches, or strategic initiatives that are launched with a clearly defined measurement framework, pre-campaign forecasting, and post-campaign analysis plan, all driven by your team's input.
Target · Increase the adoption rate of data-driven frameworks for new initiatives from 50% to 90% within 18 months.

You establish a mandatory 'Analytics Sign-Off' gate for all major campaigns, ensuring that every new initiative has clear KPIs, tracking in place, and a plan for measuring success before it goes live.

Team Engagement & Retention
The overall morale, productivity, and retention of your direct and indirect reports within the analytics function.
Target · Maintain an average team engagement score of 80%+ and a voluntary turnover rate below 10% annually.

Your leadership leads to a 5% increase in the 'Career Development Opportunities' score in the annual engagement survey, and you successfully retain 95% of your high-performing senior analysts.

Strategic Influence & Board-Level Credibility
Your ability to present complex analytical findings to senior leadership and the Board in a clear, compelling, and actionable way, leading to strategic decisions.
  • You're regularly invited to present at Board meetings or executive strategy sessions. Your recommendations are frequently adopted by the CMO and CEO. Other VPs and Directors proactively seek your input on their strategic challenges. You're seen as a trusted advisor, not just a data provider.
Organisational Data Literacy Uplift
The extent to which your leadership and initiatives improve the overall understanding and use of data across the wider Marketing department and even other business functions.
  • Marketing managers consistently refer to specific metrics and insights in their team meetings. You lead successful internal training programmes on data interpretation. Other departments (like Sales or Product) start asking your team for advice on their own data challenges, showing a broader impact.
Marketing Technology Stack Optimisation
Your vision and execution in evolving our marketing technology (MarTech) stack to ensure it meets future business needs, provides accurate data, and supports advanced analytics capabilities.
  • You successfully lead the selection and implementation of a new CDP or attribution platform. The MarTech stack is demonstrably more integrated and efficient, reducing data discrepancies and improving data availability. Your team is able to answer questions that were previously impossible due to data limitations.
Talent Development & Succession Planning
Your success in developing the skills and careers of your team members, ensuring a strong pipeline of future leaders and specialists.
  • You have a clear succession plan for key roles within your team. Your direct reports are regularly promoted or take on increased responsibilities. You're known for providing excellent mentorship and coaching, with team members actively seeking your guidance on career paths.

7Would you like it

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

What people enjoy
Driving Strategic Business Impact

You'll feel most energised when your team's insights lead to a significant shift in marketing strategy, a major budget reallocation, or a new product feature. You love seeing your work directly contribute to the company's bottom line and market position.

Successfully presenting a new customer segmentation model to the board that leads to a complete overhaul of our acquisition strategy, resulting in a 15% increase in LTV.

Building & Leading a High-Performing Team

You get a real buzz from mentoring your managers, seeing your team members grow, and fostering a culture of data excellence. You enjoy the challenge of recruiting top talent and shaping an analytics organisation that's truly best-in-class.

One of your senior managers gets promoted to Director in another department, a direct result of the development opportunities and leadership you provided.

Solving Complex, Ambiguous Organisational Problems

You thrive on tackling the really big, messy questions where there's no obvious answer and the data is scattered. You enjoy architecting solutions for enterprise-level data challenges and bringing clarity to strategic ambiguity.

Leading the initiative to integrate disparate marketing, sales, and product data sources into a unified customer view, something the company has tried and failed at for years.

What frustrates people
  • Stakeholders who demand 'data-driven' decisions but then ignore the data when it contradicts their intuition or pre-existing biases.
  • The constant battle for resources and budget to invest in data infrastructure, tools, and talent.
  • Dealing with fragmented, inconsistent data across multiple legacy systems that weren't designed to talk to each other.
  • The pressure to deliver 'quick wins' while also trying to build a robust, long-term analytics capability.
  • Navigating organisational politics and getting buy-in from departments with competing priorities.
  • The sheer volume of urgent, reactive requests that can pull your team away from strategic, proactive work.
What this role does not give you
  • A quiet, purely technical role where you just crunch numbers without interacting with people.
  • A predictable, unchanging environment; market dynamics and technology evolve constantly.
  • Immediate gratification for every insight; strategic change takes time and persistence.
  • Complete control over all data sources; you'll always be dependent on other teams for some inputs.

8Who you work with

This role drives transformation across an entire business unit. Your decisions directly influence the allocation of multi-million-pound marketing budgets, shape our customer acquisition and retention strategies, and ultimately impact the company's market position and profitability. You're not just supporting; you're shaping the future direction of a significant part of the business.

Inside the business
  • VP of Marketing (your direct manager)
  • Chief Marketing Officer (CMO)
  • Chief Executive Officer (CEO)
  • Chief Financial Officer (CFO) and Finance Leadership
  • VP of Product Management
  • VP of Sales
  • Head of Data Science
  • Board of Directors (for presentations and strategic updates)
Outside the business
  • Key Advertising Platform Partners (e.g., Google, Meta, Amazon)
  • Marketing Technology Vendors (e.g., Salesforce, Adobe, Snowflake)
  • External Consultants (for specific projects or audits)
  • Industry Bodies and Thought Leaders
  • Investors (occasionally, for performance insights)

9What you need before you start

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

  • Proven track record (10+ years) of building, leading, and developing high-performing analytics teams, including managing managers.
  • Extensive experience (15+ years) in marketing analytics within a large, complex organisation, demonstrating significant business impact.
  • Deep expertise in architecting and managing enterprise-level marketing technology (MarTech) and data infrastructure (CDPs, DWHs).
  • Demonstrated ability to influence C-suite and Board-level stakeholders with data-driven strategic recommendations.
  • A strong understanding of advanced statistical modelling, machine learning applications in marketing, and data science principles.
  • Expertise in data governance, data quality management, and relevant data privacy regulations (GDPR, CCPA).

10What to practise next

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

Real-time Analytics & Streaming Data Architectures

The demand for immediate insights is growing. Marketing needs to react to customer behaviour and market shifts in real-time, not days later. This means moving beyond batch processing to architecting systems that can process and analyse streaming data for instant personalisation, fraud detection, and campaign optimisation.

Event-driven architectures · Streaming data platforms (e.g., Kafka, Kinesis) · Low-latency data warehousing · Real-time personalisation engines · Edge computing for analytics

  • This quarter: Research leading real-time analytics use cases in marketing and identify potential applications for our business.
  • Next 6 months: Partner with our data engineering team to pilot a small-scale real-time analytics project (e.g., real-time campaign optimisation).
  • Next 12 months: Develop a roadmap for integrating real-time capabilities into our core MarTech stack and data infrastructure.
  • Ongoing: Stay updated on advancements in streaming data technologies and their implications for marketing.

Quick win: Identify one critical marketing decision that could benefit from real-time data (e.g., ad bidding optimisation) and start exploring what data sources and technologies would be needed.

Advanced Customer Data Platform (CDP) Strategy & Integration

A truly unified customer view is the holy grail of modern marketing. CDPs are becoming central to achieving this, allowing for real-time segmentation, personalisation, and activation across all channels. As Director, you'll be responsible for the strategic vision and successful integration of our CDP to unlock its full potential.

Identity resolution techniques · CDP vendor landscape and selection criteria · Real-time segmentation and activation · First-party data strategy with CDP · CDP integration with MarTech & AdTech ecosystems

  • This quarter: Conduct a thorough audit of our current customer data sources and identify gaps in our unified customer view.
  • Next 6 months: Lead the evaluation and selection process for a new or upgraded CDP, building a strong business case.
  • Next 12 months: Oversee the implementation and initial integration of the CDP, focusing on key marketing use cases.
  • Ongoing: Champion the adoption of the CDP across marketing and other relevant departments, demonstrating its value.

Quick win: Map out your current customer data flows and identify the top 3 pain points that a CDP could solve for your marketing team.

11Staying current once you are in

What people here do to keep up
  • Regularly attend and speak at industry conferences (e.g., Marketing Analytics Summit, eMetrics, Gartner Marketing Symposium) to stay abreast of trends and build your professional network.
  • Participate in executive leadership programmes or workshops focused on strategic decision-making, change management, and organisational development.
  • Engage with leading academic research and thought leadership in marketing science, data ethics, and AI applications.
  • Mentor emerging talent within the company and externally, contributing to the broader analytics community.
  • Seek out opportunities for cross-functional leadership, perhaps by leading a task force that involves multiple departments beyond Marketing.

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 & Responsible Data Use Leadership

With the rapid adoption of AI in marketing (e.g., generative AI for content, predictive AI for targeting), understanding and implementing ethical guidelines is no longer optional. Regulators and consumers are demanding transparency and fairness. Your leadership here will be crucial to maintaining brand trust and avoiding costly legal or reputational damage.

  • AI bias detection and mitigation
  • Explainable AI (XAI) for marketing decisions
  • Privacy-preserving AI techniques
  • AI governance frameworks
  • Impact assessment for AI-driven campaigns

Advanced Data Storytelling for Board & Investor Relations

As data becomes more central to every business decision, the ability to translate complex analytical insights into compelling, concise, and actionable narratives for non-technical executives and investors is paramount. Your insights will directly influence capital allocation and market perception. This isn't just about presenting data; it's about crafting a persuasive argument.

  • Narrative structure for executive presentations
  • Visualisation psychology for high-stakes audiences
  • Anticipating executive questions and objections
  • Connecting marketing metrics to financial outcomes
  • Crisis communication with data

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Advanced Marketing Attribution Modelling & Econometrics
  • Enterprise A/B & Multivariate Testing Strategy
  • Customer Segmentation, LTV, & Predictive Analytics
  • Full-Funnel Optimisation & CRO Leadership
  • Advanced Campaign Performance Measurement & Optimisation
  • Data Governance, Quality, & Architecture

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

    Head of Marketing Analytics (from a large enterprise)

    3-5 years at that level

    Skills to master

    • Scaling analytics functions, managing large budgets, influencing C-suite, building a strong talent pipeline, and navigating complex organisational structures.

    You're ready to move on when

    • Successfully led a team of 15+ analysts/managers.
    • Owned a significant portion of the marketing analytics roadmap and budget.
    • Consistently delivered insights that led to measurable improvements in marketing ROI.
    • Proven ability to present and defend strategic recommendations to executive leadership.
  2. 2

    Marketing Analytics Manager (from a high-growth scale-up)

    5-7 years at that level, with significant scope expansion

    Skills to master

    • Transitioning from a fast-paced, often scrappy environment to a more structured, enterprise-level role. This involves formalising processes, building robust data governance, and scaling teams and systems.

    You're ready to move on when

    • Built an analytics function from scratch or scaled it significantly during rapid growth.
    • Demonstrated ability to wear many hats and adapt quickly to changing business needs.
    • Strong technical depth combined with emerging leadership capabilities.
    • Proven ability to translate business problems into analytical solutions in a dynamic environment.
  3. 3

    Consulting Leader (specialising in Marketing & Data)

    5-8 years at Senior Manager/Director level in consulting

    Skills to master

    • Translating consulting experience into direct operational leadership. This means moving from advising to owning the execution, managing internal teams, and dealing with the nuances of internal politics and legacy systems.

    You're ready to move on when

    • Led multiple large-scale marketing analytics transformation projects for diverse clients.
    • Developed strong client relationship management and executive presentation skills.
    • Deep expertise in various industries and analytical methodologies.
    • A desire to move from project-based work to building and owning a continuous function.

15Where this role leads

The long view: This work can lead to roles such as Chief Data Officer, Chief Marketing Officer or Chief Product Officer.

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 & Insights 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:

  • VP of Marketing Analytics / Chief Marketing Technology Officer (CMTO)

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 & Insights.

Data Analysis and Visualisation Level 7

Applied to your work in Director of Marketing Analytics & Insights

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

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

Start my plan, free
See Your Progress Grow Illustration
Director of Marketing Analytics & Insights
  • Advanced Marketing Attribution Modelling & Econometrics
  • Enterprise A/B & Multivariate Testing Strategy
  • Customer Segmentation, LTV, & Predictive Analytics
  • Full-Funnel Optimisation & CRO Leadership
  • Advanced Campaign Performance Measurement & Optimisation
  • Data Governance, Quality, & Architecture
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 & Insights is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. VP of Marketing Analytics / Chief Marketing Technology Officer (CMTO)

    3-5 years in the Director role

    Level 7 (C-Suite equivalent)

    • Architecting a truly unified enterprise data platform (EDP)
    • Leading large-scale data transformation initiatives across multiple business units
    • Defining the long-term vision for AI and advanced analytics across the entire company
    • Managing relationships with major strategic technology partners at a global scale
Working with AI on the job

Working with AI

Where AI is starting to help

As a Director, your time is precious. It's not about doing more grunt work; it's about amplifying your strategic influence and enabling your team to deliver insights faster. Our AI Productivity Hub isn't just for junior analysts – it's designed to give leaders like you a significant edge, freeing you from operational overhead so you can focus on vision and impact.

Imagine a world where your team spends less time on tedious data prep and report generation, and more time on deep analysis, strategic thinking, and proactive problem-solving. That's the reality AI can create. We're integrating cutting-edge AI tools directly into our workflows, allowing you and your team to automate the mundane and accelerate the insightful. This isn't just about efficiency; it's about elevating the entire analytics function.

Automated Strategic Briefs & Summaries

Use AI to automatically generate concise, executive-level summaries of complex quarterly performance reports, board presentations, and market analyses. The AI can highlight key strategic shifts, flag critical risks, and draft initial talking points for your C-suite updates, saving you hours of synthesis and drafting time. This means you can review, refine, and focus on the narrative, not the initial write-up.

Proactive Anomaly Detection & Opportunity Spotting

Feed your vast marketing datasets (e.g., GA4 360, CRM, ad platforms) into AI models that proactively identify significant anomalies, emerging trends, and hidden customer segments. This isn't just reactive reporting; it's about the AI surfacing 'unknown unknowns' – telling you where to focus your team's deep dive efforts to uncover the next big growth opportunity or prevent a looming problem, before it becomes critical.

AI-Assisted Strategic Modelling & Scenario Planning

Leverage AI to rapidly build and test complex marketing mix models, attribution scenarios, and budget allocation simulations. Instead of weeks of manual modelling, AI can generate multiple 'what if' scenarios in hours, helping your team quickly assess the potential impact of different strategic decisions on ROI, LTV, and market share. This empowers faster, more informed strategic planning.

Intelligent Data Governance & Documentation

Use AI to automatically audit data quality across your MarTech stack, identify inconsistencies, and suggest data cleansing rules. It can also auto-generate and maintain comprehensive data dictionaries, metric definitions, and process documentation for your entire analytics function. This ensures data trust, reduces onboarding time for new team members, and frees your senior analysts from tedious upkeep.

Common questions

Common questions

How do you become a Director of Marketing Analytics & Insights?

Common routes in include Head of Marketing Analytics (from a large enterprise) (3-5 years at that level), Marketing Analytics Manager (from a high-growth scale-up) (5-7 years at that level, with significant scope expansion) and Consulting Leader (specialising in Marketing & Data) (5-8 years at Senior Manager/Director level in consulting). Times vary with prior experience.

Where can a Director of Marketing Analytics & Insights progress to?

This role can lead on to VP of Marketing Analytics / Chief Marketing Technology Officer (CMTO) (3-5 years in the Director role), depending on the skills you build.

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

Increasingly, Ethical AI & Responsible Data Use Leadership and Advanced Data Storytelling for Board & Investor Relations. 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 marketing

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

The skills involved, strategic leadership, data architecture, team building and influencing senior leaders, apply across industries. Similar analytics, data or marketing leadership roles exist in retail, finance, technology and healthcare. Leaders who can turn data into business decisions are needed in most sectors.

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 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.