United Kingdom · Marketing · C-Suite (20+ years)

Chief Performance Officer

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

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Experience bandC-Suite (20+ years)
Reports toChief Executive Officer (CEO) and Board of Directors
UK framework levelUsually an executive or board-level role

Also advertised as CMO of Performance · Head of Marketing Effectiveness · VP of Marketing Analytics & Optimisation

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

Gateway Qualifications Level 2 Award in Digital Marketing Gateway Qualifications Limited · Level 2 · covers 6 of 10 standards

Gateway Qualifications Level 2 Certificate in Business Gateway Qualifications Limited · Level 2 · covers 4 of 10 standards

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

Gateway Qualifications Level 1 Certificate in Business and Retail Gateway Qualifications Limited · Level 1 · covers 3 of 10 standards

Gateway Qualifications Level 2 Award in Preparing for Self-Employment Gateway Qualifications Limited · Level 2 · covers 3 of 10 standards

ATHE Level 4 Extended Diploma in Digital Marketing ATHE Ltd · Level 4 · covers 2 of 10 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

Digital Analytics OCNLR Level 4 Diploma in Digital Marketing

Digital Business, Marketing Metrics and Analytics ATHE Level 4 Extended Diploma in Digital Marketing

The future skills this job leans on

AI Fluency working with AI as a thinking partner

AI Governance Fluency using AI responsibly

Your Plan Illustration

Built for Chief Performance Officer

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

Digital Marketing Gateway Qualifications Limited · covers 6 of 10 standards Level 2
Digital Analytics OCN London · covers 3 of 10 standards Level 4
Digital Business, Marketing Metrics and Analytics ATHE Ltd · covers 2 of 10 standards Level 4

These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Chief Performance Officer?

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

The new skill this role is being asked for

Ethical AI & Algorithmic Bias Mitigation in Marketing

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
AI Governance Fluencyusing AI responsibly

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 Chief Performance Officer plan as you set up, starting with the free Automation Fluency module. No card.

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

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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

A Chief Performance Officer makes sure marketing spend delivers measurable business value. The role covers marketing effectiveness, turning data into strategies that the CEO and board can act on. It sits at executive level, shaping company growth through data-led marketing decisions.

4What you'd actually use

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

Google Analytics 4 (GA4) & Adobe Analytics Strategic

Setting the enterprise analytics strategy, determining which platform to use for specific business units, ensuring data governance, privacy compliance (e.g., GDPR), and strategic integration with other data sources. You won't be building reports, but you'll be defining what reports matter.

Google Ads, Meta Business Suite, LinkedIn Campaign Manager Strategic

Understanding platform limitations ('walled gardens'), challenging agency assumptions on performance, allocating multi-million pound budgets across platforms, and driving strategic negotiations with platform representatives. You'll understand the 'game' at a high level.

Tableau, Power BI, Looker Strategic

Designing the executive dashboard suite for the CMO, CFO, and CEO, championing data storytelling at the Board level, and managing the overall enterprise data visualisation strategy and infrastructure (e.g., Tableau Server/Power BI Premium environments).

Snowflake, Google BigQuery, Databricks Architect

Owning the marketing data warehouse strategy, making platform decisions, managing budget and vendor relationships for data infrastructure, and ensuring data lineage, quality, and accessibility for the entire organisation. You're the ultimate data steward.

Python (pandas, scikit-learn, statsmodels), Measured, Recast Strategic

Designing the overall Unified Measurement Framework, selecting attribution and MMM vendors, challenging model assumptions, and defending model outputs and budget recommendations to the C-suite and Board. You'll understand the underlying science, even if you're not writing the code daily.

Segment, Tealium (Customer Data Platforms) Strategic

Owning the CDP and its strategic role in the wider martech stack, ensuring it delivers a truly single customer view to drive enterprise-wide personalisation, advanced analytics, and compliance. This is about customer data strategy.

Anaplan, Pigment (Financial Planning & Analysis) Expert

Co-owning the marketing forecast model with Finance, running complex scenario planning directly within the platform, and linking marketing spend directly to enterprise revenue and EBITDA targets. You'll be a key user and driver of these financial planning tools.

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
Marketing Budget Allocation (P&L)	No authority; provides data for analysis.	Proposes budget adjustments for specific channels, requiring manager approval.	Makes technical recommendations for workstream budget, consults Director on overall impact.
Measurement Framework Design	Uses existing frameworks, escalates issues.	Proposes minor enhancements to existing channel-specific frameworks.	Designs and implements new measurement methodologies for specific projects, consults Lead on integration.
Team Hiring & Organisational Design	No authority; provides input on candidate fit.	Participates in interviews for junior roles, provides feedback.	Leads interviews for junior/mid-level roles, makes recommendations, mentors new hires.

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-Attributed P&L Growth

The direct contribution of marketing activities to the company's profit and loss statement, accounting for both revenue generation and cost optimisation.

Target · Achieve 15%+ year-on-year growth in marketing-attributable profit.

If our overall company profit grows by £10M, you'll be able to show that £3M of that was directly driven by your team's marketing investment strategies, validated by our unified measurement framework.

Enterprise Marketing ROI (eROI)

The overall return on investment for the entire marketing budget, considering both short-term revenue and long-term brand equity.

Target · Maintain an eROI of 3.5:1 or higher across all marketing spend.

For every £1 invested in marketing, we expect £3.50 back in measurable business value. You'll present a comprehensive report showing how our £50M marketing spend generated £175M in attributable value.

Customer Lifetime Value (CLV) Growth

The increase in the predicted total net profit a company can expect from a customer over the entire period of their relationship, driven by marketing strategies.

Target · Increase average CLV by 10% year-on-year.

Through targeted retention and upsell programmes, your strategies will help us see the average customer value grow from £500 to £550 over 12 months, directly impacting future revenue predictability.

Market Share Expansion

The percentage of the total market that our company controls, directly influenced by our go-to-market and brand building efforts.

Target · Expand market share by 2 percentage points in key segments annually.

If we currently hold 15% of the market, your strategies should help us grow that to 17% in our top three product categories, demonstrating clear competitive advantage.

Board & Investor Confidence

The level of trust and belief the Board and external investors have in our marketing investment strategy and its ability to drive sustainable growth.

Regularly sought out for strategic input by the CEO and Board. Positive feedback from investor relations on marketing's P&L narrative. Proactive consultation on M&A targets related to market expansion or customer acquisition. Your presentations to the Board are clear, concise, and inspire confidence, leading to budget approvals without significant pushback.

Organisational Alignment on Performance

Ensuring that all key C-suite leaders (CMO, CFO, CCO, CEO) are aligned on the single source of truth for marketing performance and attribution.

Absence of 'attribution tug-of-war' between departments. Finance, Sales, and Marketing leadership all reference the same Unified Measurement Framework in their reporting. Consensus on budget allocation decisions based on your team's models. You've successfully built a culture where data-driven decisions are the norm, not the exception.

Talent Development & Retention

Building and retaining a world-class team of marketing performance professionals who are recognised as industry leaders.

Low voluntary turnover within your direct and indirect teams (below 10% annually). Your team members are regularly promoted internally or headhunted for senior roles elsewhere. You're seen as a mentor and sponsor for high-potential individuals. The team is consistently delivering high-quality, impactful work and is seen as a strategic asset to the company.

7Would you like it

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

What people enjoy

Shaping Enterprise Strategy & P&L Impact

You'll spend your days working with the CEO and Board, defining the multi-year vision for how marketing drives the entire company's growth and profitability. This means seeing your decisions directly reflected in the company's financial statements and market performance.

Leading the quarterly board review where your team's models directly inform a £10M reallocation of marketing budget, which then leads to a measurable increase in company EBITDA.

Building a World-Class Team & Capability

You'll be recruiting, mentoring, and developing a high-performing team of marketing performance experts, fostering a culture of rigorous analysis and continuous improvement. You'll get to see your people grow and make significant impact.

Successfully hiring two top-tier Directors of Marketing Analytics, establishing a new internal training programme, and seeing your team's work recognised as industry-leading.

Driving Market Leadership Through Data

You're driven by the idea of using data and advanced analytics to give our company a decisive competitive edge. This means constantly innovating our measurement approaches, staying ahead of industry trends, and challenging conventional wisdom.

Implementing a proprietary Unified Measurement Framework that gives us a 12-month lead on competitors in understanding true incrementality, directly leading to superior campaign performance and market share gains.

What frustrates people

The Attribution Tug-of-War: Constantly navigating the conflict between your multi-touch attribution model and the Sales team's 'last-touch' view from Salesforce, especially when bonus structures are involved.
Defending Your Existence to Finance: The quarterly ritual of explaining to the CFO why marketing is a strategic investment, not just a cost centre, and why your complex models are more reliable than their simple ratios.
The 'Black Box' Problem: Making multi-million pound budget decisions based on data from platforms like Meta and Google, knowing you'll never see the full, granular picture.
Political Pressure for 'Good News': Being asked to 'find the data' that supports a pet project or a senior executive's intuition, even when the objective analysis points the other way. You'll need a strong backbone.
The Data is Never Clean: Realising that a significant portion of your organisation's time is still spent on data wrangling and pipeline maintenance, not on generating the cutting-edge insights you were hired for.
Explaining Statistics to Executives: The blank stares you sometimes get when you try to explain concepts like p-values, confidence intervals, or multicollinearity in a high-stakes board meeting. You'll need to be a master translator.

What this role does not give you

A quiet, purely analytical role where you're just 'heads down' in the data. You'll be in meetings, presenting, and influencing constantly.
An environment where every single project you initiate makes it to full production or deployment. Some strategic analyses will inform decisions that then pivot, and that's okay.
A role without significant political navigation. You're at the C-suite, so influencing and managing diverse agendas is part of the job.
A role where you don't have to deal with legacy systems or imperfect data. The reality is always messier than the theory.

8Who you work with

This role directly shapes the company's enterprise-level growth strategy, influencing multi-year investment decisions and market positioning. You'll be accountable for the overall financial performance of marketing, driving P&L impact, and ensuring shareholder value. Essentially, you're making sure Marketing isn't just a cost centre, but a profit driver for the entire business.

Inside the business

Chief Executive Officer (CEO)
Chief Financial Officer (CFO)
Chief Marketing Officer (CMO)
Chief Commercial Officer (CCO)
Board of Directors
Heads of Product, Sales, and Operations

Outside the business

Investors and Shareholders
External Auditors
Industry Regulators
Key Marketing Agencies and Technology Vendors
Industry Bodies and Thought Leaders

9What you need before you start

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

Proven track record of 20+ years in marketing analytics, performance, or data science leadership roles, with at least 5 years at a Director/VP level or above.
Demonstrable experience owning and driving significant P&L impact through data-driven marketing strategies (e.g., managing budgets over £10M).
Extensive experience presenting to and influencing C-suite executives and Boards of Directors, translating complex data into clear strategic recommendations.
Deep expertise in designing and implementing advanced marketing measurement frameworks (MMM, MTA, Incrementality) at an enterprise scale.
Experience building, leading, and mentoring large, multi-disciplinary teams (25+ people) of analytics and data science professionals.
Strong understanding of data governance, privacy regulations (GDPR, CCPA), and their implications for marketing data strategy.

10What to practise next

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

Privacy-Enhancing Technologies (PETs) for Measurement

The deprecation of third-party cookies, stricter data privacy regulations, and increasing consumer demand for privacy mean traditional measurement methods are becoming obsolete. PETs like differential privacy, federated learning, and secure multi-party computation will be essential for maintaining robust, privacy-compliant marketing measurement and personalisation in a cookieless world. This is a fundamental shift in how we'll get data.

Differential privacy and k-anonymity for data aggr · Federated learning for distributed model training · Secure multi-party computation (MPC) for collabora · Zero-knowledge proofs in marketing data verificati · The shift from user-level to aggregated, privacy-s

This quarter: Work with your data science and engineering leads to evaluate current measurement gaps due to privacy changes and identify potential PET solutions.
Next 6 months: Investigate and pilot at least one PET (e.g., a federated learning approach for a specific campaign) to understand its practical implications and benefits.
Next year: Develop a multi-year roadmap for transitioning our measurement infrastructure to privacy-by-design principles, incorporating PETs where appropriate.
Ongoing: Stay deeply engaged with industry consortia (e.g., W3C, IAB) and ad tech partners on privacy sandbox initiatives and alternative identifiers.

Quick win: Ensure your team is actively experimenting with Google's Privacy Sandbox APIs and other cookieless measurement solutions. Start building internal knowledge on the basics of differential privacy now.

Quantum Computing Implications for Marketing Analytics

While still nascent, quantum computing has the potential to revolutionise optimisation, machine learning, and cryptography—all critical for marketing performance. A CPO needs to be aware of this long-term shift, understanding its potential to either create massive competitive advantage or disrupt existing data security and analytical capabilities. This is about future-proofing our entire data strategy.

Quantum annealing for complex optimisation problem · Quantum machine learning for advanced pattern reco · Post-quantum cryptography for future data security · The difference between quantum supremacy and pract · The long-term investment required for quantum read

This year: Allocate a small R&D budget to track quantum computing advancements relevant to marketing analytics and data security.
Next 1-2 years: Sponsor internal research or external partnerships to explore theoretical applications of quantum computing to our most complex optimisation or prediction challenges.
Next 3-5 years: Begin to assess the talent and infrastructure implications of a quantum-ready data strategy, including potential re-skilling of data science teams.
Ongoing: Engage with academic institutions and quantum computing vendors to understand the evolving landscape and potential timelines for commercialisation.

Quick win: Subscribe to leading quantum computing newsletters and allocate time to review high-level summaries of advancements. Start a dialogue with your CTO about the company's long-term quantum strategy.

11Staying current once you are in

What people here do to keep up

Regularly publish thought leadership pieces (articles, whitepapers, conference talks) on marketing performance, data strategy, or ethical AI. You should be seen as an industry voice.
Actively participate in executive forums and peer groups focused on Marketing, Analytics, or Digital Transformation to share insights and learn from other C-suite leaders.
Mentor emerging leaders within the company and externally, contributing to the broader talent pipeline in the industry.
Serve on the advisory board of relevant technology start-ups or academic institutions to stay connected to innovation and talent.
Commit to continuous learning in areas like quantum computing, advanced AI ethics, and evolving global privacy regulations.

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 & Algorithmic Bias Mitigation in Marketing

As AI becomes more embedded in everything from ad targeting to content generation and attribution models, the ethical implications and potential for algorithmic bias are becoming critical. Regulators, consumers, and investors are paying closer attention, and a misstep here can lead to significant reputational and financial damage. This isn't just a technical problem; it's a strategic one.

Fairness, accountability, and transparency (FAT) p
Bias detection and mitigation techniques in market
Explainable AI (XAI) for marketing decisions
Ethical guidelines for AI-driven personalisation a
Regulatory frameworks for AI (e.g., EU AI Act) and

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Unified Measurement Framework Design
Marketing Mix Modeling (MMM) Strategy
Multi-Touch Attribution (MTA) Governance
Incrementality Measurement & Experimentation
Customer Lifetime Value (CLV) Modeling & Strategy
Scenario Planning & Financial Forecasting

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
Director/VP of Marketing Performance & Analytics
5-10 years at this level before CPO
Skills to master
- Mastering enterprise-scale measurement framework design, leading large teams (25+), presenting to C-suite, and demonstrating direct P&L impact. You'll need to move beyond functional leadership to strategic business leadership.
You're ready to move on when
- Successfully owned and delivered a multi-million pound marketing budget with demonstrable ROI.
- Consistently influenced C-suite decisions with data-driven insights.
- Built and retained a high-performing team of analytics professionals.
- Recognised as an industry expert in marketing measurement.
2
Chief Marketing Officer (CMO) with a strong analytical background
Transition from CMO to CPO (or combined role) over 3-5 years
Skills to master
- While a CMO focuses on brand, creative, and overall marketing strategy, a CPO transition requires deepening the analytical rigour, P&L accountability, and a focus on measurable financial outcomes over broader brand metrics. It's about shifting from 'what we say' to 'what we prove'.
You're ready to move on when
- Demonstrated ability to balance brand building with performance marketing.
- Proven track record of driving measurable business growth as a CMO.
- Strong personal interest and expertise in advanced analytics and measurement.
- Capacity to lead a highly technical, data-focused organisation.
3
VP/Head of Data Science or Business Intelligence (from another function)
5-10 years at VP level, then cross-functional move
Skills to master
- This path requires a deep understanding of marketing domain, customer behaviour, and commercial drivers. You'll need to bridge your technical data expertise with the nuances of marketing strategy and P&L accountability specific to this function.
You're ready to move on when
- Successfully led large data science teams in complex business environments.
- Proven ability to translate complex data into actionable business strategies.
- Strong commercial acumen and understanding of P&L drivers.
- Demonstrated ability to quickly learn and master a new functional domain (Marketing).

15Where this role leads

The long view: This role can lead to running a company as CEO, advising several businesses as a venture partner, or overseeing marketing measurement across a large group of brands.

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 Chief Performance Officer 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 Digital Marketing, worked against Chief Performance Officer.

Digital Marketing Level 2

Applied to your work in Chief Performance Officer

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 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

Chief Performance Officer

Unified Measurement Framework Design
Marketing Mix Modeling (MMM) Strategy
Multi-Touch Attribution (MTA) Governance
Incrementality Measurement & Experimentation
Customer Lifetime Value (CLV) Modeling & Strategy
Scenario Planning & Financial Forecasting

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

Chief Performance Officer is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

Chief Executive Officer (CEO) or Chief Operating Officer (COO)
5-10 years post-CPO

Enterprise Leadership
- Deep operational excellence across all functions (Sales, Product, Engineering, Finance).
- Supply chain and logistics management (if applicable).
- Legal and regulatory compliance across the entire business.
- Public relations and corporate communications strategy.
Board Member / Non-Executive Director (NED)
3-7 years post-CPO (often alongside other roles)

Governance & Strategic Oversight
- Deep understanding of investor expectations and shareholder activism.
- Expertise in M&A due diligence and post-merger integration.
- Regulatory compliance for public companies.
- Strategic advisory on digital transformation and AI adoption at a macro level.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, at the C-suite level, your time is precious. You're not meant to be bogged down in manual data pulls or drafting every single executive summary from scratch. Here's how AI can genuinely give you and your leadership team a significant edge, freeing you up for truly strategic thinking and high-impact decision-making.

AI isn't just for analysts anymore; it's a strategic partner for executives. For a Chief Performance Officer, leveraging AI means getting faster, deeper insights, automating the mundane, and empowering your team to deliver more impactful work. It's about making better decisions, quicker, and with higher confidence, directly contributing to our P&L.

Automated Anomaly Detection

Imagine AI constantly monitoring real-time performance data across hundreds of campaigns, channels, and markets – spend, CPA, conversion rates, brand sentiment. It automatically flags significant deviations from the norm, pointing your Directors to problems (or opportunities) before they escalate. You'll get executive summaries of these anomalies, allowing you to focus on the 'why' and the strategic response, not the 'what'.

Strategic Insight Generation

Feed complex model outputs, market research, competitor earnings call transcripts, and internal reports into an AI. It can then generate a first draft of strategic insights, summarising key themes, identifying emerging trends, and even suggesting potential strategic pivots. This accelerates your team's qualitative research and helps you build deeper context around the quantitative data, much faster than before.

Board-Ready Summary Drafter

You're often translating highly technical model outputs and complex financial data into concise, compelling narratives for the Board. Use AI to generate a first draft of executive summaries for your QBRs, investor presentations, or strategic proposals. It can translate statistical jargon into clear business language, giving you a solid starting point to refine and add your unique strategic perspective. It's a huge time-saver for combating writer's block on critical documents.

Scenario Planning & Forecasting Co-Pilot

AI can rapidly generate and evaluate hundreds of 'what-if' scenarios for marketing budget allocation, predicting outcomes based on various market conditions, competitor actions, and investment levels. This allows your team to explore far more options than manual analysis, providing you with a robust set of data-backed recommendations for strategic planning and risk assessment. It's like having an army of analysts working on your forecast.

Common questions

How do you become a Chief Performance Officer?

Common routes in include Director/VP of Marketing Performance & Analytics (5-10 years at this level before CPO), Chief Marketing Officer (CMO) with a strong analytical background (Transition from CMO to CPO (or combined role) over 3-5 years) and VP/Head of Data Science or Business Intelligence (from another function) (5-10 years at VP level, then cross-functional move). Times vary with prior experience.

Where can a Chief Performance Officer progress to?

This role can lead on to Chief Executive Officer (CEO) or Chief Operating Officer (COO) (5-10 years post-CPO) and Board Member / Non-Executive Director (NED) (3-7 years post-CPO (often alongside other roles)), depending on the skills you build.

What new skills matter most for a Chief Performance Officer?

Increasingly, Ethical AI & Algorithmic Bias Mitigation 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 Automation Fluency 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.

Chief Performance Officer

Where should we send it?

Two short quizzes about you

Will AI change your work as a Chief Performance Officer?

What's rising in its place

Ethical AI & Algorithmic Bias Mitigation in Marketing

Skills this role draws on

Technical

How you actually get there, here

Director/VP of Marketing Performance & Analytics

Chief Marketing Officer (CMO) with a strong analytical background

VP/Head of Data Science or Business Intelligence (from another function)

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

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

Chief Executive Officer (CEO) or Chief Operating Officer (COO)

Board Member / Non-Executive Director (NED)

Where AI is starting to help

Automated Anomaly Detection

Strategic Insight Generation

Board-Ready Summary Drafter

Scenario Planning & Forecasting Co-Pilot

Common questions

Want a read on where you stand?