VP Data Science

About the role

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.

About the role:

We’re looking for a VP, Strategic Data Science to lead the strategic data-science capability within our Open Intelligence Solutions (OIS) domain.

This is a newly defined senior leadership role for someone who can combine deep data-science expertise with strong media, marketing and commercial understanding. You’ll sit at the intersection of data science, product, clients and commercial strategy, turning complex data and business challenges into advanced modelling approaches, actionable insights and scalable analytical solutions.

You’ll shape how we use data science to understand audiences and consumer behaviour, improve measurement and forecasting, automate consumer research, generate insight and develop synthetic populations and panels.

This is not a role focused solely on technical delivery. You’ll be a senior strategic partner to clients and internal stakeholders, helping define what we should build, why it matters and how data science can create measurable business value.

What you’ll do:

Lead our strategic data-science capability

- Own the vision, strategy and operating model for data science across domain intelligence solutions.

- Set best practices and standards for how advanced analytics supports client, product and commercial priorities.

- Lead the development of audience definition, segmentation and behavioural modelling approaches.

- Translate complex data into actionable audience and consumer intelligence.

- Turn client needs and commercial opportunities into clear modelling roadmaps, analytical frameworks and reusable solutions.

Drive measurement, forecasting and insight

- Establish best practices across measurement, media effectiveness and insight generation.

- Lead forecasting and predictive analytics across audience, consumer and media intelligence use cases.

- Develop and scale consumer-research automation approaches that increase the speed, consistency and depth of insight.

- Lead the development of synthetic populations and synthetic panels, ensuring methodologies are credible, interpretable and commercially useful.