Jobs / United Kingdom / WPP 2005 Limited
Senior Product Director - Agentic Data Platform
WPP 2005 Limited · 🇬🇧 London area, England, United Kingdom
Sponsorship verdict
Sponsorship possible
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- Employer is on a government sponsor recordThis employer holds a UK sponsor licence (Skilled Worker, A rating). Source: Register of licensed sponsors (UK Home Office).
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Sponsor Radar — WPP 2005 Limited
This employer holds a UK sponsor licence (Skilled Worker, A rating). Source: Register of licensed sponsors (UK Home Office).
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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 are looking for a Senior Director, Product Management to lead the strategy and execution of WPP’s next-generation Agentic Data Platform. Within Cohort Solutions, you will own product vision, strategy, roadmap development and execution across multiple products and initiatives. You will partner closely with Engineering, Data Science, Data Operations, Commercial, Partnerships, Governance and Market teams to deliver scalable, high-impact products that create measurable business value and strong adoption. The successful candidate will combine disciplined product management with experience in data products, AI, commercialization, stakeholder management and cross-functional leadership. The final role level will reflect the scope of the position and the experience of the successful candidate. Why we’re hiring • To establish and execute a clear product strategy for WPP’s Agentic Data Platform. • To turn complex data and AI capabilities into scalable products that solve meaningful business and customer problems. • To connect product investment, adoption and commercialization with measurable value across WPP’s global network. What you’ll be doing • Own the product vision, strategy and roadmap across multiple data platform products and initiatives. • Translate customer, user, market and business needs into clear product priorities and outcomes. • Lead products through discovery, validation, development, launch, adoption and continuous improvement. • Partner with Engineering, Data Science, Data Operations, Commercial, Partnerships, Governance and Market teams to deliver high-quality products. • Define success measures and use data to track adoption, value, quality, cost and commercial performance. • Develop product economics and commercialization approaches, balancing customer value, business objectives, speed, quality and scalability. • Advance AI, agent and workflow automation opportunities through responsible experimentation, while ensuring appropriate governance, privacy, security and data quality. How your time may be focused The role is expected to be approximately 70% individual contribution and 30% leadership/management , with the balance adapting to business needs. In this role, you will: • Create alignment around a compelling product vision and prioritized roadmap. • Move complex data and AI initiatives from strategy into valuable, adopted products. • Establish clear measures for product performance, customer value and commercial impact. • Build strong partnerships across technical, commercial, governance and market teams. • Help develop product talent and strengthen product management practices across the organization. Who you’ll be working with You’ll work across a global, matrixed environment with colleagues in: • Engineering and Data Science • Data Operations and Governance • Commercial and Partnerships • Market and business teams • Product, technology and s