About the Position

VP Statistical Measurement

London, England, United Kingdom

WPP is the trusted growth partner for the world’s leading brands.

We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.

We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.

Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.

For more information, visit WPP.com.

Responsibilities

Own statistical methodology and measurement standards

Own statistical methodology and measurement standards across the OIS portfolio.
Ensure analytical approaches are technically rigorous, fit for purpose and consistently applied.
Establish standards for statistical hygiene, validation, uncertainty and quantitative quality assurance.
Ensure analytical claims are supported by robust experimental, causal and econometric evidence.
Act as the organisation’s authority on numerical quality, measurement credibility and analytical validity.
Challenge weak assumptions, over-claims and methodological risks before outputs reach senior stakeholders or clients.

Shape the future of measurement

Lead the evolution of Marketing Mix Modelling (MMM) and econometric measurement capabilities, ensuring approaches are robust, interpretable and aligned to commercial decision-making.
Develop frameworks and practical guidance for attribution, causal inference, experimental design and incrementality.
Create validation frameworks and QA mechanisms that increase confidence in measurement outputs.
Establish best practices around model diagnostics, sensitivity testing and evidence thresholds.
Partner directly with clients and senior stakeholders to ensure measurement outputs are credible, understandable and commercially actionable.

Build statistical capability across the organisation

Develop tools, frameworks and approaches that improve statistical storytelling, insight communication and data visualisation.
Lead and develop Senior Measurement Scientists and Statistical Specialists across areas including econometrics, MMM, experimental design, incrementality, attribution, causal inference, statistical QA and validation.
Build statistical education and capability programmes that raise the standard of analytical thinking across the organisation.
Help develop responsible AI-assisted analytical workflows, ensuring statistical methods are applied appropriately and outputs are communicated clearly.
Work closely with OIS R&D, Product, Enterprise Technology, Data Platform, DTS Product & Engineering, WPP Open, domain leads and applied AI teams.

Requirements

Significant experience leading statistical, measurement, econometric or data-science capabilities.
Deep expertise in areas such as MMM, econometrics, attribution, causal inference, incrementality and experimental design.
A strong understanding of statistical methodology, model validation and quantitative quality assurance.
Experience establishing measurement standards, frameworks or best practices across complex organisations.
The ability to assess analytical approaches critically and identify methodological risks, weak assumptions and unsupported conclusions.
Experience translating sophisticated statistical concepts into clear, commercially relevant recommendations.
Strong client-facing and stakeholder management experience, with the ability to build trust in complex measurement outputs.
Experience leading and developing senior statistical, measurement or data-science specialists.
An interest in the application of AI to analytical workflows, with a clear understanding of the importance of statistical rigour and responsible use.
Excellent communication skills, particularly the ability to tell a compelling story from complex statistical evidence.

We Offer

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

VP Statistical Measurement

Job description