Agentic Design Lead

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. 

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.

As an Agentic Design Lead, you will sit at the intersection of AI strategy, workflow design, and team enablement – turning our client and agency needs into practical, governed AI agent use cases delivered through WPP Open and leading enterprise AI tooling.

This is a non-traditional, “tech-fluent” consulting role: you don’t need to be a deep engineer, but you must be exceptional at translating business problems into AI solutions, orchestrating the right experts, and embedding solutions into day-to-day marketing workflows.

You will work in close partnership with:

• Clients (marketers and marketing ops leaders) to identify and prioritise high-value use cases for AI Agent deployment.
• Data science, analytics consultants, and data engineers to deliver feasible, measurable, safe delivery.
• WPP Open Product teams to shape Agent Hub adoption, governance, patterns, and roadmap alignment across WPP Media AU.
• Internal WPP teams to drive adoption and change management

The Agentic Design Lead will play a critical role in ensuring WPP Media moves from fragmented AI experimentation to scaled, governed, commercially impactful AI adoption.

This role is central to embedding AI into how marketing is delivered, turning capability into competitive advantage.

Lead structured discovery with clients and internal teams to identify, size and prioritise AI agent opportunities across strategy, creative development, media planning/activation, analytics, reporting and marketing operations.

Translate business problems into clear agent blueprints, including:

• Inputs and required context
• Decision logic and reasoning patterns
• Data/tool dependencies
• Human-in-the-loop checkpoints
• Governance and escalation paths
• Success metrics and value definition

Ensure each agent use case is grounded in measurable commercial or operational value.

• Embed agents into real workflows: briefing, planning, QA, reporting, approvals and optimisation, rather than positioning them as standalone tools.
• Design repeatable workflow patterns that balance automation with expert oversight.
• Partner with delivery teams to ensure solutions are usable, adopted and scalable.

• Act as a trusted advisor to senior client stakeholders: simplifying complex AI concepts into clear recommendations and pragmatic next steps.
• Orchestrate cross-functional collaboration between consulting, data science, analytics and engineering teams.
• Provide structured feedback to WPP Open product teams on adoption, friction points, governance needs and roadmap priorities.
• Help transition successful bespoke agents into scalable Agent Hub assets.

• Define and track value metrics such as time saved, throughput improvements, quality uplift, error reduction, decision confidence and performance impact.
• Support commercial growth by identifying expansion opportunities and new AI-led service propositions.

• Ensure all agents align with enterprise-grade privacy, data handling and responsible AI standards.
• Design governance models that enable speed without compromising client safety or brand integrity.

• Background in consulting, advertising, marketing technology or strategy. Minimum 10 years.
• Comfortable in ambiguity and structuring complex problems into actionable plans.
• Strong understanding of modern marketing workflows and agency operating models.
  

• Strong working knowledge of AI patterns such as grounding/RAG, prompt and context design, structured outputs, multi-step reasoning, agent workflows and workflow automation.
• Preferred hands-on experience with low-code, node-based and orchestration tools such as n8n, CoWork, Copilot Studio and Power Automate, with the confidence to prototype, test and iterate practical workflow solutions.
• Comfortable designing agent behaviour, guardrails and evaluation frameworks, while knowing when to involve deeper technical specialists.
• Technically curious and confident working in low-code environments; able to learn new tools quickly, ask the right technical questions and collaborate effectively with data scientists, engineers and product teams.
  

• Excellent stakeholder management skills across clients, agency teams and platform/product stakeholders.
• Ability to influence without authority in a matrixed environment.
• Confident engaging with senior marketers and commercial leaders.
  

• Strong awareness of privacy, compliance and responsible AI principles in enterprise environments.
• Understands the importance of standardisation, repeatability and scalable operating models.
  

• Exceptional at simplifying complex ideas into clear narratives and crisp artefacts (blueprints, playbooks, business cases).
• Strong presentation and facilitation skills.
• Structured thinker with commercial acumen.