Senior Product Director, Agentification, Skills and Data

The role

Own the vision, strategy and roadmap for skills, tools and agentification across WPP Open. Define the core skills, tool layer, guardrails and data strategy that WPP's agents use, and lead the agentification of WPP applications.

What you will do

• Own the vision, strategy and roadmap for skills, tools and agentification across WPP Open.
• Define the core set of skills that WPP's agents are built from.
• Own the tool layer, including interfaces, contracts, permissions and connectivity standards such as MCP.
• Lead the agentification of WPP applications so their capabilities are callable, observable and safe to operate agentically.
• Define guardrails for what an agent may do, on whose authority and with what data, working with Agent Governance.
• Own the evaluation and quality approach for skills and chained agent output.
• Define the data and context strategy that agents reason over, including retrieval, grounding, memory and context management.
• Work with Engineering, Design, UX and Data to deliver a coherent skills layer.
• Provide vision and direction to the cross-functional product team.
• Use data and stakeholder feedback to drive product strategy and adoption, and act as the voice of the customer.

Required qualifications

• Experience in Product Management, Product Ownership, engineering leadership or applied data science, with significant time spent on AI or platform products.
• Proven track record of taking an established SaaS or enterprise product and making it agent-native.
• Deep and current knowledge of agent architectures: LLMs, tool, skill and function calling, RAG, context and memory management, multi-agent orchestration, and MCP.
• Direct experience with agent and tooling ecosystems such as MCP/A2A servers and clients, LangChain or LangGraph, Semantic Kernel or comparable frameworks.
• Experience defining guardrails, permissions and safety controls for autonomous or semi-autonomous systems.
• Experience evaluating non-deterministic systems: test sets, scoring rubrics, regression testing, human review and production monitoring.
• Understanding of APIs, system integrations, workflow orchestration and data interoperability.
• Experience with data and knowledge platforms: retrieval, embeddings, semantic search, taxonomy and grounding against enterprise content.

Before you apply

• Hybrid work with teams in the office around four days a week; accommodations or flexibility can be discussed with the hiring team during interviews.

About the company

WPP is a growth partner for the world's leading brands, combining media intelligence, data, creativity, production and strategic counsel, with reach across 100+ markets. Its Data & Technology Solutions team builds data-driven solutions, including the WPP Open AI platform for marketing.