Senior Product Director - Agentic Data Platform
Quick Summary
Create alignment around a compelling product vision and prioritized roadmap. Move complex data and AI initiatives from strategy into valuable, adopted products.
You connect product investments to business outcomes and build compelling, actionable roadmaps. Commercially minded: You understand value creation, customer needs, product economics and adoption.
About the Role
~1 min readWe 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.
- 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.
Responsibilities
~1 min read- →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.
The role is expected to be approximately 70% individual contribution and 30% leadership/management, with the balance adapting to business needs.
- 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.
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 senior executive leadership
- Significant product management experience, including ownership of strategy, roadmaps and product lifecycles.
- A track record of building or scaling products in one or more of the following areas: data, analytics, advertising technology, Martech, SaaS, AI or enterprise platforms.
- Experience taking products from strategy and discovery through delivery, launch, adoption and iteration.
- Experience leading complex, cross-functional product initiatives or teams within a matrixed or global organization.
- Strong commercial judgment, including the ability to connect customer needs with product economics, revenue drivers, costs and adoption.
- Proven ability to influence senior stakeholders and create alignment across technical and non-technical teams.
- Strong working knowledge of enterprise data platforms and the ability to collaborate effectively with Engineering and Data Science colleagues.
- Experience building or launching agentic, AI-native or workflow automation products.
- Working knowledge of LLMs, retrieval-augmented generation (RAG) and agent orchestration.
- Experience working with responsible AI, data governance, privacy or security considerations in enterprise environments.
- Experience leading, coaching or developing product managers.
We value relevant skills and experience gained through different career paths. Equivalent professional experience will be considered in place of rigid formal requirements.
- Strategic thinker: You connect product investments to business outcomes and build compelling, actionable roadmaps.
- Commercially minded: You understand value creation, customer needs, product economics and adoption.
- Influential collaborator: You build trust across functions, navigate competing priorities and resolve conflicts constructively.
- Execution focused: You make informed decisions in ambiguous environments and balance speed, quality and scalability.
Who you are:
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- September 17, 2026
- First seen
- September 19, 2026
- Last seen
- September 19, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- September 19, 2026
Signal breakdown
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