Vice President of Commercial Performance, Data Intelligence & Analytics

Acosta Europe
Woking, Surrey, United Kingdom
Last week
Posted
8 Apr 2026 (Last week)

Vice President of Commercial Performance, Data Intelligence & AnalyticsOffice Location: Woking (GU21 5BH) or Stoke on Trent (ST4 2HX)

Working Pattern: Hybrid - 3 days per week from the Office, 2 days from home.

Contract: Full‑time, Permanent 37.5 hours per week

Acosta Europe is seeking a visionary Vice President of Commercial Performance, Data Intelligence & Analytics to join our Executive Leadership Team and shape the future of our commercial strategy. This is a rare opportunity to lead a high‑impact function at the heart of a fast‑evolving, data‑driven organisation serving some of the biggest brands in FMCG and retail.

About the Role

As VP, you will be the enterprise leader responsible for driving commercial excellence, revenue growth, advanced analytics, and strategic insight across Acosta Europe. You will modernise our commercial systems, elevate our data and insights capabilities, and embed a culture of evidence‑based decision‑making across the organisation.

You will work cross‑functionally alongside Sales, Client Leadership, Finance, Operations, and Technology to bring clarity, insight, and commercial rigour to the way we serve clients and grow the business.

Key Responsibilities

Commercial Strategy & Performance

Shape and execute the organisation's commercial intelligence and performance strategy.

Monitor and optimise revenue streams, pricing models, and promotional effectiveness.

Drive improvements in sales productivity, capability development, and performance management.

Lead the development and reporting of commercial KPIs for the Board and ELT.

Identify market opportunities and client growth levers through insight‑led thinking.

Data, Insights & Analytics Leadership

Lead a high‑performing multi‑disciplinary data and insights organisation.

Oversee analytics, reporting, predictive modelling, and data governance.

Translate complex data into clear, actionable insights for senior leadership and clients.

Ensure data is managed ethically, consistently, and in line with regulatory standards.

Increase data literacy across the business and unlock new interconnected data opportunities.

Drive innovation by embedding traditional, generative, and agentic AI into insight and decision‑making.

Client & Market Intelligence

Build a world‑class insights capability that differentiates Acosta in the market.

Lead market trend analysis, shopper insights, competitive benchmarking, and ROI analytics.

Deliver compelling, insight‑driven narratives that enhance client engagement and decision‑making.

Champion storytelling and innovative data visualisation across client‑facing teams.

Leadership & Collaboration

Build and develop a team of analytics and insight specialists.

Foster a culture of curiosity, innovation, and data‑led decision‑making.

Partner with Technology, Data Protection, and Information Security teams to ensure robust, future‑fit data ecosystems.

Influence organisational strategy and investment decisions through rigorous analysis.

What We're Looking For

Proven leadership experience in commercial analytics, insights, or intelligence at a VP or senior level.

Strong commercial acumen, ideally within FMCG, retail, or agency environments.

Deep expertise in data analytics, BI tools (Power BI, Tableau), predictive modelling, and large‑scale data ecosystems.

Exceptional communication skills with the ability to simplify complexity.

Experience in organisational transformation and embedding analytics at scale.

Collaborative , strategic, and results‑driven, with a bias for action.

Why Join Us at Acosta Europe as our Vice President – Commercial Performance, Data Intelligence & Analytics?

This is a unique opportunity to shape the future of data‑driven commercial performance in a high‑growth, client‑focused organisation. You will influence strategy at the highest level, build a market‑leading insights capability, and help define the next evolution of the Acosta Europe business.

At Acosta Europe, you'll be joining a team that is passionate about growth, innovation, and delivering excellence for our clients. This is a unique opportunity to influence at the highest level, accelerate your career, and shape the direction of a business with big ambitions.

Benefits:

Full Salary and benefits package discussed at screening stage.

At Acosta Europe, we believe diversity and inclusion are the foundation of innovation and success. We welcome people from all backgrounds and experiences, creating a culture where everyone feels valued and empowered to thrive. If you're looking for a role where you can make a visible impact, and build the future in FMCG sales—this is your moment.

Ready to apply?

If you're a strategic leader who thrives on driving impact and connecting people, priorities, and performance — we'd love to hear from you.

Please note once the right candidate is found we will close the role., so Apply Now

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.