About the Job
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
SVP, Data Science Lead, CoE - Global Clients
Required Skills & Abilities
Senior Data Science Leadership: Significant experience leading Data Science teams, with a track record of building strong technical capability, developing senior talent and setting a clear technical vision in a complex, matrixed organisation. Experience in the media advanced analytics space desirable.
Deep Technical Expertise: Expert-level understanding of statistical modelling, machine learning, AI and predictive analytics, with the depth to review, challenge and mentor technical work rather than operating solely as a people or commercial leader.
Modelling & Measurement Breadth: Strong experience across a range of methods relevant to marketing and media, such as econometrics/MMM, attribution, propensity and classification models, forecasting, optimisation, experimentation, model validation and scenario planning.
Programming & Data Fluency: Strong proficiency in Python, R and/or SQL, with a practical understanding of reproducible analytical workflows, data pipelines, APIs, cloud data environments, version control, model QA and deployment.
Product & Solution Leadership: Demonstrated ability to turn technical methodologies into repeatable products or services, manage an existing solution portfolio, establish technical standards and prioritise a roadmap of enhancements and new capabilities.
Innovation Mindset: Evidence of identifying and applying new techniques to real business problems, moving from experimentation to robust, scalable solutions while maintaining appropriate governance, transparency and responsible AI practices.
Media & Marketing Acumen: Strong understanding of how data science supports media planning, buying, measurement and optimisation, and how technical outputs translate into client business outcomes and investment decisions.
Stakeholder & Communication Skills: Ability to act as a trusted technical partner to senior business, client and DTA stakeholders, translating complex concepts into clear choices, implications and commercial value.
Delivery & Commercial Acumen: Experience overseeing a portfolio of complex analytical projects, including scoping, resourcing, quality, risk and stakeholder expectations, with the judgement to balance innovation, scalability and commercial viability.
