United Kingdom · Marketing · Principal/Manager (12-16 years)

Senior Manager, Marketing Database & Operations

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.

See how AI is changing this job, and get the full read by email.

Start my free Growth Mindset module

The first step towards Composability & Modular Martech Architecture is taking your people with you, so start with Building a Department's Capacity to Learn, free.

Free to start, no card.

Keep this job description

Where should we send it?

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.

Leading a team? Try this with up to five of them for 14 days, free.

Experience bandPrincipal/Manager (12-16 years)
Direct reports5-8 reports
Reports toDirector of Marketing Technology & Data Strategy
UK framework levelUsually someone running a function, or a director

Also advertised as Head of Marketing Data & CRM · Principal Database Marketing Manager · Marketing Operations Lead (Data Focus) · Director of Marketing Data Strategy

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 4 of 14 standards

Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 14 standards

AIM Qualifications Entry 3 Diploma in Skills for Working in Business, Administration and Customer Service Industries AIM Qualifications · Entry Level · covers 1 of 14 standards

OTHM Level 6 Diploma in Information Technology OTHM Qualifications · Level 6 · covers 1 of 14 standards

Level 6 Certificate in Professional Sales Institute of Sales Professionals · Level 6 · covers 1 of 14 standards

Level 6 Diploma in Professional Sales Institute of Sales Professionals · Level 6 · covers 1 of 14 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-led Decision Making Level 6 Award in Data-led Decision Making

Data Management Software Skills AIM Qualifications Entry 3 Diploma in Skills for Working in Business, Administration and Customer Service Industries

Advanced Data Analytics OTHM Level 6 Diploma in Information Technology

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

Your Plan Illustration

Built for Senior Manager, Marketing Database & Operations

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

Data Analysis and Visualisation OTHM Qualifications · covers 4 of 14 standards Level 7
Data-led Decision Making Institute of Sales Professionals · covers 1 of 14 standards Level 6
Data Management Software Skills AIM Qualifications · covers 1 of 14 standards Entry Level
Advanced Data Analytics OTHM Qualifications · covers 1 of 14 standards Level 6

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 Senior Manager, Marketing Database & Operations?

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

Composability & Modular Martech Architecture
Ethical AI & Algorithmic Bias in Marketing

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

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 Senior Manager, Marketing Database & Operations plan as you set up, starting with the free Growth Mindset module. No card.

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

Ready to pay? Subscribe for £70 a month

Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

This job means managing the marketing database and keeping customer data clean, compliant and useful. It involves overseeing the systems and processes that support marketing across the customer lifecycle, and acting as the main point of accountability for customer data quality.

4What you'd actually use

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

Salesforce Marketing Cloud (SFMC) Strategic

Leading platform integration decisions (e.g., with CDP), owning the relationship with Salesforce, managing the budget, and defining the long-term roadmap for SFMC within our martech stack. You'll be the ultimate escalation point for complex issues.

Segment / Tealium (CDP) Architect

Owning the enterprise customer data model, making build vs. buy decisions for CDP capabilities, and ensuring compliance (GDPR/CCPA) at the platform level. You'll define how customer data is collected, unified, and activated.

Snowflake / BigQuery (Data Warehouse) Strategic

Partnering with Data Engineering to define marketing data schemas, governing access and usage, and justifying investment in data warehousing resources for marketing needs. You'll understand the underlying data infrastructure deeply.

Tableau / Power BI (Data Visualisation) Strategic

Defining the BI strategy for the entire marketing organisation, ensuring dashboards are tied to C-level objectives, and driving strategic, not just tactical, decisions through data visualisation. You'll oversee the creation of executive-level reporting.

Hightouch / Census (Reverse ETL) Architect

Owning the data activation strategy, selecting and implementing Reverse ETL tooling, and ensuring a closed-loop data flow across the entire martech stack. You'll define how insights from the data warehouse are pushed back to operational tools.

Jira / Asana (Project Management) Administrator

Defining the operational process for the entire marketing organisation within the tool, integrating it with other systems, and reporting on overall team efficiency and project velocity. You'll ensure our workflows are smooth and transparent.

SQL (Structured Query Language) Expert

Writing complex, optimised SQL for deep-dive analysis, advanced audience creation, and troubleshooting data issues. You'll be able to build and review sophisticated data models and views for marketing use, and coach your team on best practices.

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
Martech Stack Changes (new tools, major integrations)	Propose changes to supervisor, execute approved tasks.	Research and recommend solutions, manage implementation of approved changes.	Design and architect solutions, lead vendor selection, gain approval from Director/VP for significant investments.
Data Governance & Privacy Policy	Follow established policies, report potential issues.	Identify gaps in current policies, propose minor improvements.	Define and implement comprehensive data governance policies, ensure compliance across all marketing data operations, work with Legal to interpret new regulations.
Team Hiring & Performance Management	None.	Informal guidance to new joiners, provide feedback to manager.	Full authority for hiring, performance reviews, and career development for your direct reports. You'll manage the team's structure and capacity.
Budget Allocation (within your function)	None.	Provide input on tool costs or project expenses.	Manage and allocate budget up to £500K for your function (software licences, data services, team training). Larger amounts require Director/VP approval.

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 Database Health Score

A composite score reflecting data accuracy, completeness, and deduplication rates.

Target · Achieve and maintain a score of >90% (e.g., <1% duplicate records, >95% data completeness for key fields).

Reduced duplicate customer records by 30% in Q2, improving overall database health from 82% to 88%.

Marketing-Sourced Pipeline Contribution

The value of new sales opportunities directly attributed to campaigns powered by your data and segmentation.

Target · Contribute to >£20M in new pipeline annually, with a clear attribution model.

In Q3, campaigns using your refined segmentation generated £6.5M in pipeline, exceeding the £5M target.

Customer Lifetime Value (CLV) Uplift

The average increase in the long-term value of customers influenced by your personalised retention and nurture programmes.

Target · Increase average CLV by 15% for key customer segments through targeted data-driven initiatives.

Implemented a new loyalty segmentation which led to a 10% increase in CLV for the 'High-Value Engaged' segment over 6 months.

Data Privacy Compliance Score

An internal audit score reflecting adherence to GDPR, PECR, and other relevant data privacy regulations.

Target · Maintain a compliance score of >95% in all internal and external audits.

Successfully passed the annual GDPR audit with zero critical findings, demonstrating robust consent management processes.

Strategic Data Roadmap Delivery

Successfully defining, communicating, and executing a clear, actionable roadmap for marketing data infrastructure and capabilities.

Regular roadmap updates to leadership
key projects (e.g., CDP implementation, new attribution model) delivered on time and within scope
positive feedback from stakeholders on clarity and ambition of the roadmap.

Team Leadership & Development

Effectively leading, mentoring, and developing your team, fostering a high-performing and collaborative environment.

High team retention rates
positive feedback in 360 reviews
successful promotion of team members
clear individual development plans in place and regularly reviewed
team members demonstrating increased autonomy and skill.

Cross-Functional Influence

Your ability to influence and collaborate with other departments (Sales, Product, Data Engineering, Legal) to achieve shared data goals.

Regular invitations to strategic planning meetings outside of Marketing
other departments proactively seeking your input on data-related initiatives
successful resolution of data conflicts between teams
formal agreements on data ownership and governance.

Proactive Problem Solving

Anticipating potential data issues or compliance risks before they become major problems, and proposing effective solutions.

Identified and mitigated a potential data privacy risk before a campaign launch
proposed a new data integration method that prevented future data silos
documented and shared 'lessons learned' from past data challenges to prevent recurrence.

7Would you like it

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

What people enjoy

Building & Optimising Systems

You get a real kick out of designing a new data flow that automates a manual process, or architecting a customer segmentation model that's more effective than anything we've had before. You love seeing your systems run smoothly and efficiently, knowing you've built something robust.

You'll spend an afternoon mapping out a new data integration between our CDP and CRM, thinking through all the edge cases and potential failure points, and genuinely enjoying the puzzle.

Driving Tangible Business Impact

You're not just doing data for data's sake. You're motivated by seeing your work directly contribute to increased revenue, improved customer retention, or a more efficient marketing spend. You want to see your data insights actually change how we operate and deliver results.

When a campaign using your new segmentation delivers a 20% higher conversion rate, you'll feel a genuine sense of accomplishment, knowing your strategic thinking made a real difference.

Mentoring & Developing Talent

You enjoy guiding and growing a team of analysts and specialists. You find satisfaction in seeing your direct reports develop new skills, tackle complex problems, and progress in their careers. You're a natural teacher and coach.

You'll spend time each week in 1-on-1s, not just on task updates, but discussing career goals, helping team members unblock technical challenges, and celebrating their successes.

What frustrates people

The 'Single Source of Truth' Myth: The constant, draining political battle to get Sales, Marketing, and Product to agree on which system holds the master customer record.
Garbage In, Gospel Out: Being handed messy, incomplete data from other departments (especially events and sales) and being expected to work miracles with it.
The 5-Minute Request: A senior leader asking you to 'just pull a quick list' for a hyper-specific segment that actually requires hours of complex querying and validation.
Creative vs. Data: The tension between the brand team wanting to launch a 'big creative idea' immediately and your need to build the proper segmentation, tracking, and testing framework first.
The Privacy Treadmill: Constantly having to re-architect data processes and campaign strategies to keep up with an ever-changing landscape of privacy laws (GDPR, CCPA, etc.).
Martech Sprawl: Discovering another department has purchased a new tool that creates yet another data silo you now have to integrate, often with no budget or warning.

What this role does not give you

A purely strategic, 'hands-off' role—you'll still be diving into the data and systems regularly.
A role where every project you start sees the light of day—some will be deprioritised or cancelled.
A completely predictable day-to-day routine; urgent data requests and unexpected issues are common.
A role without significant cross-functional negotiation and persuasion.

8Who you work with

This role is absolutely critical. You're the one who makes sure we're talking to the right people, at the right time, with the right message. Get it wrong, and we're wasting money, annoying customers, and potentially facing hefty fines. Get it right, and you're directly contributing to significant revenue growth and a strong brand reputation. You'll own the health and integrity of our customer data, which is, frankly, the lifeblood of modern marketing.

Inside the business

Director of Marketing Technology & Data Strategy (your boss)
Head of Campaign Marketing (who uses your data)
Sales Operations (who needs clean lead data)
Product Management (who needs customer insights)
Legal & Compliance (who cares about data privacy)
Data Engineering (who builds the data pipelines)

Outside the business

Martech Vendors (Salesforce, Segment, Hightouch)
Data Privacy Consultants
External Auditors (for compliance checks)

9What you need before you start

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

Proven experience (10+ years) in database marketing, marketing operations, or a highly data-centric marketing role, with at least 3-5 years in a leadership or management position.
Demonstrable expertise in managing and optimising a complex martech stack, including a leading Marketing Automation Platform (e.g., Salesforce Marketing Cloud) and a Customer Data Platform (e.g., Segment, Tealium).
Deep understanding and practical application of data governance principles and privacy regulations (GDPR, PECR are non-negotiable).
Advanced SQL proficiency for complex data extraction, manipulation, and analysis.
Experience leading and developing a team of data-focused marketing professionals.
Strong track record of defining and delivering strategic data initiatives that have had a measurable impact on business outcomes.

10What to practise next

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

Advanced Data Orchestration & Automation

As our martech stack becomes more complex, manually managing data flows between systems becomes unsustainable. You'll need to understand how to design and implement robust, automated data pipelines that ensure data moves seamlessly and reliably across all platforms.

Workflow orchestration tools (e.g., Apache Airflow · Event-driven data processing · Data virtualisation concepts · Real-time data streaming architectures · Data quality monitoring and alerting automation

This quarter: Get familiar with the basics of a data orchestration tool like Airflow – even if you're not coding it, you need to understand its capabilities.
Next quarter: Work with Data Engineering to map out our current data pipelines and identify areas for greater automation and resilience.
Month 3: Lead a project to implement automated data quality checks and alerting for critical marketing data points.
Ongoing: Explore how to build more 'self-healing' data systems that automatically correct common errors.

Quick win: Identify one manual data transfer process that causes frequent errors or delays, and research existing automation solutions that could replace it. Present a business case for its implementation.

Data Product Management for Marketing

Marketing data is increasingly seen as a product in itself, serving internal and external 'customers.' This means applying product management principles to how we build, maintain, and evolve our data assets, ensuring they meet user needs and deliver value.

Defining data products (e.g., unified customer pro · User research for data consumers (e.g., campaign m · Data product roadmapping and prioritisation · Data product lifecycle management · Measuring data product adoption and impact

This month: Read up on 'data product management' concepts and frameworks.
Next month: Interview key internal stakeholders (campaign managers, sales leaders) to understand their biggest pain points and unmet needs related to marketing data.
Month 3: Draft a 'product brief' for one of our core data assets (e.g., our customer segmentation engine), outlining its users, features, and future roadmap.
Ongoing: Think about how to 'market' our internal data capabilities to ensure they're being fully used and understood.

Quick win: Start treating your team's outputs (e.g., a new segmentation, a dashboard) as 'products.' Gather feedback from users, track usage, and iterate based on their needs, just like a product manager would.

11Staying current once you are in

What people here do to keep up

Regularly attending industry conferences (e.g., MarTech, Dreamforce, Marketing Analytics Summit) to stay abreast of trends and network.
Subscribing to leading marketing technology and data privacy publications and newsletters (e.g., Chiefmartec, IAPP).
Participating in online courses or workshops on advanced SQL, data modelling, or specific martech platform deep-dives.
Mentoring junior professionals in the field, as teaching often solidifies your own understanding.
Contributing to industry forums or communities, sharing your expertise and learning from peers.

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.

Composability & Modular Martech Architecture

The trend is moving away from monolithic, all-in-one platforms towards a 'composable' stack where best-of-breed tools are integrated. This offers greater flexibility and cost efficiency, but it also means more complex integration challenges and a need for a deep understanding of APIs and data contracts.

API-first design principles
Microservices architecture in martech
Data contracts and schema enforcement
Headless marketing concepts
Event-driven architectures

Ethical AI & Algorithmic Bias in Marketing

As we use more AI for segmentation, personalisation, and predictive modelling, the risk of algorithmic bias (e.g., inadvertently excluding certain customer groups) and ethical considerations (e.g., privacy, transparency) becomes critical. Regulators are paying attention, and so should we.

Fairness, Accountability, and Transparency (FAT) i
Explainable AI (XAI) for marketing models
Bias detection and mitigation techniques in machin
Privacy-preserving AI techniques (e.g., federated
AI ethics guidelines and regulatory frameworks

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Customer Segmentation & Lifecycle Marketing
Marketing Attribution Modelling
RFM Analysis (Recency, Frequency, Monetary)
Predictive Lead Scoring
A/B and Multivariate Testing Frameworks
Data Architecture & 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 Senior Database Marketing Analyst
3-5 years as a Senior Analyst
Skills to master
- Moving from individual contributor to team lead, developing strategic thinking beyond individual projects, improving executive communication and stakeholder management, gaining experience in budget oversight and vendor relations.
You're ready to move on when
- Successfully led complex data projects end-to-end with minimal supervision.
- Consistently mentored junior team members and provided strong technical guidance.
- Proactively identified and proposed solutions for systemic data issues.
- Demonstrated ability to influence cross-functional teams without direct authority.
2
From Marketing Operations Manager
4-6 years as a Marketing Operations Manager
Skills to master
- Deepening expertise in data architecture and modelling, advanced SQL, data governance, and privacy compliance. Shifting from process optimisation to strategic data asset management. Expanding team management to include more data specialists.
You're ready to move on when
- Successfully managed the entire marketing operations tech stack and processes.
- Implemented significant improvements in lead management or campaign execution efficiency.
- Demonstrated strong analytical capabilities and a data-first approach to operations.
- Proven ability to manage vendor relationships and negotiate contracts.
3
From Data Engineer (with Marketing focus)
5-7 years as a Data Engineer
Skills to master
- Developing a deeper understanding of marketing strategy, campaign execution, customer lifecycle management, and the specific needs of marketing end-users. Improving communication with non-technical marketing stakeholders. Learning martech-specific tools and platforms.
You're ready to move on when
- Built and maintained robust data pipelines for marketing data.
- Demonstrated interest in the business application of data, not just the technical aspects.
- Successfully collaborated with marketing teams on data-related projects.
- Developed strong problem-solving skills for data quality and integration challenges.

15Where this role leads

The long view: This work can lead to roles such as VP of Marketing Technology & Data Strategy or Chief Data Officer, overseeing data strategy at a wider scale.

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 Senior Manager, Marketing Database & Operations 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 Senior Manager, Marketing Database & Operations.

Data Analysis and Visualisation Level 7

Applied to your work in Senior Manager, Marketing Database & Operations

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.

See Your Progress Grow Illustration

Senior Manager, Marketing Database & Operations

Customer Segmentation & Lifecycle Marketing
Marketing Attribution Modelling
RFM Analysis (Recency, Frequency, Monetary)
Predictive Lead Scoring
A/B and Multivariate Testing Frameworks
Data Architecture & 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

Senior Manager, Marketing Database & Operations is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

Director of Marketing Technology & Data Strategy
3-5 years in this Senior Manager role

Level 6 (Director/VP)
- Martech Portfolio Management Managing a larger budget and a broader portfolio of marketing technologies, making strategic investment decisions.
- Advanced Data Governance Leading company-wide data governance initiatives, not just marketing-specific ones.
- Vendor Ecosystem Management Building strategic partnerships with key technology providers at an executive level.
- Innovation Scouting Identifying and championing truly disruptive technologies that can give the company a competitive edge.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest, a big chunk of database marketing involves repetitive tasks, complex data wrangling, and endless documentation. But what if you could offload a significant portion of that to AI? We're not talking about replacing you; we're talking about making you incredibly more effective and freeing you up for the strategic work you actually want to do.

At Zavmo, we're building an AI Productivity Hub specifically for marketing professionals. Imagine having an intelligent co-pilot that handles the grunt work, allowing you to focus on strategy, innovation, and leadership. Here's a sneak peek at how AI will transform your day-to-day as a Senior Manager, Marketing Database & Operations:

Predictive Audience Builder

Use AI to analyse historical campaign data and customer behaviour, automatically generating high-propensity audience segments for your next big campaign. Move beyond manual rule-based segmentation to truly intelligent targeting, saving your team hours of manual query writing and testing.

Churn & LTV Forecasting

Leverage machine learning models to predict which customers are at high risk of churning and forecast the lifetime value of new customer cohorts. This means proactive intervention strategies and more accurate long-term revenue planning, reducing the manual analysis time for these critical tasks by at least 50%.

Privacy Regulation Summariser

Say goodbye to sifting through dense legal documents. Use an AI assistant to quickly read and summarise new data privacy legislation (e.g., updates to GDPR, PECR, or new regional laws) and highlight the key impacts on your current marketing practices and data governance policies. This saves your team countless hours of research and ensures proactive compliance.

Segmentation Logic Documentation

Automatically generate clear, plain-English documentation explaining the logic behind complex SQL queries used for audience segmentation and data transformations. This drastically improves team collaboration, reduces onboarding time for new hires, and minimises errors by making your data processes transparent and understandable for everyone, not just the tech-savvy.

Common questions

How do you become a Senior Manager, Marketing Database & Operations?

Common routes in include From Senior Database Marketing Analyst (3-5 years as a Senior Analyst), From Marketing Operations Manager (4-6 years as a Marketing Operations Manager) and From Data Engineer (with Marketing focus) (5-7 years as a Data Engineer). Times vary with prior experience.

Where can a Senior Manager, Marketing Database & Operations progress to?

This role can lead on to Director of Marketing Technology & Data Strategy (3-5 years in this Senior Manager role), depending on the skills you build.

What new skills matter most for a Senior Manager, Marketing Database & Operations?

Increasingly, Composability & Modular Martech Architecture and Ethical AI & Algorithmic Bias in Marketing. 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 free Growth Mindset module What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.

Senior Manager, Marketing Database & Operations

Where should we send it?

Two short quizzes about you

Will AI change your work as a Senior Manager, Marketing Database & Operations?

What's rising in its place

Composability & Modular Martech Architecture

Ethical AI & Algorithmic Bias in Marketing

Skills this role draws on

Technical

How you actually get there, here

From Senior Database Marketing Analyst

From Marketing Operations Manager

From Data Engineer (with Marketing focus)

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

Director of Marketing Technology & Data Strategy

Where AI is starting to help

Predictive Audience Builder

Churn & LTV Forecasting

Privacy Regulation Summariser

Segmentation Logic Documentation

Common questions

Want a read on where you stand?