UK

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

Director, Marketing AI & Automation

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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One email: what AI is changing in this job, the new skills it asks for, where it leads, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

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  • Experience bandDirector/VP (16-20 years)
  • Direct reports25-50 reports
  • Reports toChief Marketing Officer (CMO)
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as VP of Marketing Technology · Head of AI Marketing · Director of Marketing Transformation

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

Gateway Qualifications Level 2 Award in Digital Marketing Gateway Qualifications Limited · Level 2 · covers 3 of 3 standards
Gateway Qualifications Level 2 Certificate in Business Gateway Qualifications Limited · Level 2 · covers 3 of 3 standards
Gateway Qualifications Level 1 Certificate in Business and Retail Gateway Qualifications Limited · Level 1 · covers 3 of 3 standards
OCNLR Level 4 Diploma in Digital Marketing OCN London · Level 4 · covers 2 of 3 standards
Gateway Qualifications Level 2 Diploma in Vocational Studies Gateway Qualifications Limited · Level 2 · covers 2 of 3 standards
Gateway Qualifications Level 2 Certificate in Vocational Studies Gateway Qualifications Limited · Level 2 · covers 2 of 3 standards

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

The units you would start with

Digital Marketing Gateway Qualifications Level 2 Award in Digital Marketing
Social Media Marketing OCNLR Level 4 Diploma in Digital Marketing
Digital Marketing for the Digital and Creative Industries Gateway Qualifications Level 2 Diploma in Vocational Studies

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
Frontier Fluency the next wave, beyond mainstream AI
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Director, Marketing AI & Automation

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

  1. Digital Marketing Gateway Qualifications Limited · covers 3 of 3 standards Level 2
  2. Social Media Marketing OCN London · covers 2 of 3 standards Level 4
  3. Digital Marketing for the Digital and Creative Industries Gateway Qualifications Limited · covers 2 of 3 standards Level 2
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, Marketing AI & Automation?

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 Innovation Leadership
  • Quantum Marketing & Advanced Optimisation
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, Marketing AI & Automation 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 marketing AI and automation strategy, setting the direction for how a business uses these tools in its marketing. It covers multi-year roadmaps, budget ownership, and building a team that delivers measurable results. It calls for strategic thinking and the drive to see plans through.

4What you'd actually use

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

HubSpot Marketing Hub Strategic

Leading the evaluation of HubSpot's strategic fit within the broader MarTech ecosystem, architecting enterprise-level data models, and owning the vendor relationship and budget.

Segment (CDP) Architect

Designing the enterprise-wide customer data strategy, governing data quality and privacy compliance across all sources and destinations, and making strategic decisions on data activation.

Dataiku (AI/ML Platform) Strategic

Owning the MLOps strategy for marketing, deciding which business problems are suitable for Dataiku, and championing AI literacy and adoption across the marketing organisation.

Jasper / Copy.ai (Generative AI Content) Strategic

Setting enterprise policy on generative AI usage, ethics, and plagiarism, and evaluating and selecting new generative AI platforms for the marketing organisation's needs.

Google Analytics 4 (GA4) Strategic

Defining the cross-platform measurement strategy, interpreting attribution model outputs to inform multi-million pound budget allocation, and ensuring data integrity for executive reporting.

Tableau Architect

Governing the Tableau Server environment for the marketing department, designing the 'single source of truth' dashboards for executive reporting, and ensuring data visualisation standards.

PostgreSQL Strategic

Advising on database schema design for marketing analytics, optimising query performance for large-scale data sets, and making strategic decisions on data warehousing for AI initiatives.

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
Strategic Roadmap Definition No involvement; executes tasks defined by roadmap. Contributes ideas for specific projects within the roadmap. Leads definition of specific workstreams within the roadmap, makes recommendations to Director.
Budget Allocation (Marketing AI & Automation) No authority; adheres to allocated project budgets. Manages small project budgets (up to £5K), flags overspends. Manages workstream budgets (up to £50K), recommends larger spend.
Major MarTech Vendor Selection Uses existing tools, no input on selection. Provides feedback on tool usability, suggests minor features. Evaluates specific tools for project needs, makes recommendations to Lead.

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-Sourced Pipeline & Revenue
The total value of sales pipeline and closed-won revenue directly attributable to AI and automation initiatives you've overseen.
Target · Increase marketing-sourced pipeline by 20% year-on-year, contributing £5M+ in new revenue annually.

In Q3, AI-driven personalised campaigns generated £1.8M in pipeline, leading to £750K in closed-won revenue, exceeding the £600K target.

Customer Acquisition Cost (CAC) Reduction
The percentage decrease in the cost to acquire a new customer, specifically driven by your AI-optimised campaigns and automation.
Target · Reduce overall CAC by 15% across key channels within 18 months.

After implementing AI-powered bid optimisation and audience segmentation, our paid social CAC dropped from £250 to £210, a 16% reduction.

Customer Lifetime Value (CLV) Uplift
The measurable increase in the predicted total revenue a customer will generate over their relationship with us, influenced by AI-driven retention and personalisation programmes.
Target · Achieve a 10% uplift in CLV for new customer cohorts within two years.

Our AI-driven 'next best action' recommendation engine for existing customers led to a 12% higher repeat purchase rate, directly correlating to a CLV increase for that cohort.

Marketing Technology Stack ROI
The return on investment for the entire marketing technology stack, including AI platforms, automation tools, and data infrastructure, under your purview.
Target · Maintain a positive ROI (e.g., 3:1 or higher) on a £2M+ annual MarTech budget.

Our annual MarTech spend of £2.5M generated £8.5M in attributable revenue, delivering a 3.4:1 ROI, exceeding the 3:1 target.

AI/Automation Programme Delivery & Adoption
The successful launch and sustained adoption of major AI and automation programmes outlined in the strategic roadmap.
Target · Deliver 90% of strategic roadmap initiatives on time and within budget, with 80% adoption rate across relevant teams.

The new predictive lead scoring system was deployed two weeks early and is now used by 95% of the sales team, exceeding the 80% adoption goal.

Strategic Influence & Thought Leadership
Your ability to shape the company's overall marketing and technology strategy, both internally and externally. This isn't just about doing the work, but about being seen as the expert.
  • Regularly invited to present to the Board or Executive Committee on AI strategy
  • sought out by other department heads for advice
  • recognised as a thought leader within the industry (e.g., speaking at conferences, publishing articles)
  • successfully championing major strategic shifts in marketing approach.
Team Capability & Development
How effectively you build, mentor, and develop a high-performing team of AI Marketing specialists and leaders, ensuring we have the talent to execute your vision.
  • High retention rates within your team
  • clear succession plans for key roles
  • positive feedback in 360-degree reviews regarding leadership and development
  • team members successfully progressing into more senior roles
  • a demonstrable increase in the team's collective skill set over time.
Ethical AI Governance & Compliance
Your oversight in ensuring all AI and automation initiatives are developed and deployed ethically, transparently, and in full compliance with relevant regulations (e.g., GDPR, data privacy laws).
  • No compliance breaches related to AI marketing
  • clear, documented ethical guidelines for AI use
  • regular audits of AI models for bias and fairness
  • proactive engagement with legal and compliance teams on new initiatives
  • a reputation for responsible innovation.
Cross-Functional Collaboration & Alignment
How well you get different departments—like Product, Sales, and Tech—to work together on shared AI and automation goals, ensuring everyone's pulling in the same direction.
  • Successful, complex projects delivered with multiple stakeholders
  • positive feedback from peer directors and VPs on collaborative efforts
  • joint roadmaps and shared KPIs with other departments
  • a reduction in inter-departmental friction or 'turf wars' related to AI initiatives.

7Would you like it

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

What people enjoy
Transforming a Business Function

You get a real buzz from seeing your strategic roadmap translate into tangible changes in how we operate, whether it's a new automated workflow or a predictive model that's actually changing customer behaviour.

Successfully launching a new enterprise-wide attribution model that completely changes how we allocate our £10M media budget, seeing the impact in quarterly reports.

Leading and Developing High-Performing Teams

You genuinely enjoy mentoring your managers, seeing your team members grow, and building a culture where people feel empowered to innovate and take calculated risks.

A junior manager you've coached successfully delivers a complex AI project, or a team member gets promoted due to their growth under your leadership.

Solving Complex, Multi-Dimensional Problems

You thrive on the challenge of connecting disparate data sources, navigating organisational politics, and finding elegant, scalable solutions to problems that impact millions of customers and millions of pounds.

Designing a new customer data platform architecture that integrates 10+ systems, enabling real-time personalisation across all channels after months of complex problem-solving.

What frustrates people
  • Battling the 'we've always done it this way' mentality when trying to introduce new AI-driven processes.
  • Securing significant budget for long-term strategic initiatives when the business is focused on short-term gains.
  • The sheer complexity of integrating disparate legacy systems to create a unified data foundation for AI.
  • Finding and retaining top-tier AI and data science talent in a competitive market.
  • Explaining the nuances of AI ethics and data privacy to stakeholders who just want 'more leads, faster'.
What this role does not give you
  • A purely hands-on technical role; you'll be leading and strategising, not coding day-to-day.
  • A static environment; the AI landscape changes constantly, and so will your strategy.
  • Instant gratification; many of the projects you'll initiate will have long lead times before showing full impact.
  • Complete control over all variables; you'll need to influence and collaborate across the entire organisation.

8Who you work with

This role directly shapes the future capability and competitive advantage of our entire Marketing function. You'll be accountable for delivering a verifiable £2M-£10M+ in P&L impact annually through AI-driven initiatives, significantly reducing customer acquisition costs, improving customer lifetime value, and driving measurable revenue growth. Your decisions will influence multi-million pound technology investments and define how we interact with our customers at scale.

Inside the business
  • Chief Marketing Officer (CMO)
  • Chief Technology Officer (CTO)
  • Chief Data Officer (CDO)
  • VP of Sales
  • VP of Product
  • Finance Director
  • Legal & Compliance Team
  • Board of Directors
Outside the business
  • Key MarTech Vendors (e.g., HubSpot, Dataiku, Segment)
  • Strategic Agency Partners
  • Industry Analysts and Consultants
  • Potential M&A Targets
  • Investors

9What you need before you start

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

  • A proven track record (16+ years) of building and leading large, high-performing teams (25+ people, including managers) in a fast-paced, data-driven environment.
  • Demonstrable experience managing significant P&L responsibilities (£2M+ annual budget) and delivering measurable ROI on technology investments.
  • Extensive experience in defining and executing multi-year strategic roadmaps for marketing technology, data science, or AI.
  • Experience presenting complex technical and business strategies to C-suite executives and Board members, influencing high-stakes decisions.
  • A deep understanding of the full marketing lifecycle, from brand awareness to customer retention, and how AI can optimise each stage.
  • Proven ability to navigate complex organisational structures and build strong, collaborative relationships with cross-functional leaders (e.g., Product, Sales, Engineering).

10What to practise next

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

AI-Powered Customer Journey Orchestration

Critical within 12 months – customers expect seamless, personalised experiences across all touchpoints. AI is moving beyond individual campaign optimisation to orchestrating entire, dynamic customer journeys in real-time.

Real-time Decisioning Engines · Omnichannel Personalisation · Predictive Journey Mapping · Integration with CRM & CDP

  • This week: Research leading customer journey orchestration platforms and their AI capabilities.
  • This month: Map out our current customer journeys and identify key points where AI could add value.
  • Month 2: Pilot an AI-driven real-time personalisation initiative on one key customer segment.
  • Month 3: Develop a business case for an enterprise-level customer journey orchestration platform.

Quick win: Start by using existing automation tools to create more dynamic, multi-step customer journeys based on simple behavioural triggers.

Decentralised Marketing & Web3 Integration

Important within 12-18 months – the rise of Web3, NFTs, and decentralised autonomous organisations (DAOs) presents new opportunities for customer engagement, loyalty, and data ownership. Marketing will need to adapt to these new paradigms.

Blockchain Fundamentals for Marketing · NFTs & Digital Collectibles in Loyalty Programmes · DAO Marketing & Community Building · Data Ownership & Self-Sovereign Identity

  • This week: Read an introductory guide to Web3 and its implications for business.
  • This month: Follow key thought leaders and projects in the Web3 marketing space.
  • Month 2: Identify a small pilot project (e.g., an NFT-based loyalty programme) to experiment with Web3 concepts.
  • Month 3: Present a strategic overview of Web3's potential impact on our long-term marketing strategy to the CMO.

Quick win: Start by exploring how other brands are using NFTs or building Web3 communities. Think about how you could engage a niche audience with a novel approach.

11Staying current once you are in

What people here do to keep up
  • Regularly attend and speak at industry conferences (e.g., Festival of Marketing, Gartner Marketing Symposium, AI Summit) to stay abreast of trends and build your network.
  • Actively participate in executive peer groups or leadership forums focused on AI, MarTech, or digital transformation.
  • Engage in continuous learning through online courses or executive education programmes on emerging AI technologies, strategic leadership, or advanced analytics.
  • Mentor rising talent within the organisation and externally, contributing to the broader industry's development.
  • Publish thought leadership articles or whitepapers on the future of marketing AI and automation.

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 Innovation Leadership

Critical within 6 months – increasing regulatory scrutiny (e.g., EU AI Act), growing public awareness of AI bias, and the need to build customer trust. Companies that get this wrong face significant reputational and legal risks.

  • AI Explainability (XAI)
  • Bias Detection & Mitigation
  • Data Governance & Privacy-Enhancing Technologies (PETs)
  • AI Auditing & Compliance Frameworks

Quantum Marketing & Advanced Optimisation

Important within 18-24 months – as quantum computing evolves, it promises to unlock unprecedented optimisation capabilities for complex marketing challenges (e.g., real-time bidding, hyper-personalisation at scale). While nascent, understanding its potential is key for future strategy.

  • Quantum Machine Learning Basics
  • Combinatorial Optimisation
  • Quantum-Safe Cryptography for Marketing Data
  • Early Use Cases & Industry Pilots

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Enterprise AI Strategy & Roadmap Development
  • MLOps & AI Governance for Marketing
  • Advanced Multi-Touch Attribution (MTA) Modelling
  • Customer Data Platform (CDP) Architecture & Strategy
  • Generative AI Policy & Implementation
  • Predictive Analytics & Optimisation

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

    From Manager, AI Marketing (Internal Promotion)

    3-5 years at Manager level

    Skills to master

    • Expanding scope beyond a single team to a full function, managing managers, P&L accountability, C-suite communication, strategic planning for multi-year horizons.

    You're ready to move on when

    • Successfully built and led a high-performing team that delivered significant business impact.
    • Demonstrated ability to influence cross-functional stakeholders and drive complex projects.
    • Developed a clear strategic vision for their area and presented it effectively to senior leadership.
    • Managed a budget over £1M with demonstrable ROI.
  2. 2

    From Principal AI Marketing Strategist (Internal IC Track)

    3-5 years at Principal level

    Skills to master

    • Transitioning from deep technical expertise to strategic leadership and people management, P&L ownership, organisational design, executive influence.

    You're ready to move on when

    • Recognised as the top technical expert, solving the most complex AI/data challenges.
    • Successfully mentored multiple senior specialists and influenced technical direction.
    • Demonstrated ability to translate complex technical concepts into strategic business recommendations.
    • Expressed a clear desire and aptitude for leadership and P&L accountability.
  3. 3

    From Director/VP of Marketing Technology (External Hire)

    Direct entry

    Skills to master

    • Adapting to our specific company culture, MarTech stack, and business challenges
    • building credibility with our C-suite and Board.

    You're ready to move on when

    • Proven track record of success in a similar Director/VP role at a comparable company.
    • Demonstrable experience managing large teams and significant budgets.
    • A clear strategic vision for marketing AI and automation that aligns with our company goals.
    • Strong references highlighting leadership, commercial acumen, and strategic impact.

15Where this role leads

The long view: This work can lead to chief executive roles, board or non-executive positions, or founding a marketing technology company.

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, Marketing AI & Automation is actually changing.

Where it leads

Roles this leads to

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 Digital Marketing, worked against Director, Marketing AI & Automation.

Digital Marketing Level 2

Applied to your work in Director, Marketing AI & Automation

This unit aims to provide learners with an understanding of digital marketing approaches and their application in different sectors. Learners will analyse the advantages and disadvantages of various strategies, evaluate successful and unsuccessful campaigns, and understand how to measure the effectiveness of digital marketing efforts.

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 Director, Marketing AI & Automation plan, free
See Your Progress Grow Illustration
Director, Marketing AI & Automation
  • Enterprise AI Strategy & Roadmap Development
  • MLOps & AI Governance for Marketing
  • Advanced Multi-Touch Attribution (MTA) Modelling
  • Customer Data Platform (CDP) Architecture & Strategy
  • Generative AI Policy & Implementation
  • Predictive Analytics & Optimisation
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, Marketing AI & Automation is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Chief Marketing Officer (CMO)

    3-5 years as Director

    Level 7 (C-Suite)

    • Holistic marketing strategy across all functions (brand, comms, product marketing)
    • Global market expansion and localisation strategies
    • M&A strategy and integration at an enterprise level
    • Advanced crisis management and reputational risk oversight

  2. Chief Marketing Technology Officer (CMTO)

    3-5 years as Director

    Level 7 (C-Suite)

    • Architecting enterprise data platforms and integration layers
    • Leading large-scale digital transformation initiatives across the business
    • Cybersecurity and data compliance for all customer-facing technology
    • Evaluating and implementing emerging technologies across the organisation
Working with AI on the job

Working with AI

Where AI is starting to help

As a Director, your time is precious. Every hour spent on operational tasks is an hour not spent on strategic thinking, team development, or C-suite alignment. Here's the thing: AI isn't just for junior roles; it's a powerful co-pilot for leaders, too.

Imagine having an intelligent assistant that handles the heavy lifting of market analysis, budget scenario planning, and even drafting your board presentations. That's the reality with the right AI tools. We're building an internal AI Productivity Hub specifically designed to free up our senior leaders, letting you focus on what truly matters: driving the business forward.

Strategic Roadmap Co-Pilot

Use AI to rapidly analyse market trends, competitive landscapes, and internal data to identify strategic opportunities and risks. Generate multiple scenario plans for your multi-year roadmap, complete with projected ROI and resource requirements, saving days of manual research and modelling.

Budget Optimisation Engine

Feed your marketing budget, performance data, and strategic goals into an AI model. It'll recommend optimal allocation across channels, campaigns, and tech investments to maximise ROI, helping you make data-driven decisions on multi-million pound spends in minutes, not weeks.

Team Performance Insights

Analyse team performance, project bottlenecks, and skill gaps using AI. Get automated insights into resource allocation, potential burnout risks, and areas where training would have the highest impact, allowing you to proactively manage and develop your large team.

Board Presentation Generator

Automatically summarise complex quarterly reports, strategic proposals, and market analyses into concise, executive-ready board presentations. AI can draft key talking points, create compelling visuals, and even tailor the language for different stakeholder groups, saving hours of preparation time.

Common questions

Common questions

How do you become a Director, Marketing AI & Automation?

Common routes in include From Manager, AI Marketing (Internal Promotion) (3-5 years at Manager level), From Principal AI Marketing Strategist (Internal IC Track) (3-5 years at Principal level) and From Director/VP of Marketing Technology (External Hire) (Direct entry). Times vary with prior experience.

Where can a Director, Marketing AI & Automation progress to?

This role can lead on to Chief Marketing Officer (CMO) (3-5 years as Director) and Chief Marketing Technology Officer (CMTO) (3-5 years as Director), depending on the skills you build.

What new skills matter most for a Director, Marketing AI & Automation?

Increasingly, Ethical AI & Responsible Innovation Leadership and Quantum Marketing & Advanced Optimisation. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

Or try another one

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 strategic leadership, budget management, AI transformation and team building skills built in this role transfer to other industries, including fintech, retail and healthcare. Some move into consulting or venture capital, advising on marketing technology and AI investments.

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 Director, Marketing AI & Automation 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.