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VP of Commercial Performance, Data Intelligence & Analytics
- Woking, England, United Kingdom
- Woking, England, United Kingdom
About
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.
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Languages
- English
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