Project Analyst (Value & Delivery) - Enterprise AI

Why we're hiring:

WPP is accelerating the adoption of AI across the enterprise, investing in a portfolio of strategic initiatives designed to transform how work gets done across our global business.

Within Enterprise Technology, we're enabling this transformation by building the platforms, capabilities and operating models that will power the next generation of work. From Microsoft Copilot and intelligent automation to emerging AI technologies and agentic workflows, we're embedding AI into the fabric of how WPP operates globally.

We're looking for a Project Analyst (Value & Delivery) to join our Enterprise AI team, helping turn data, insight and experimentation into meaningful business outcomes.

This is a unique role that sits at the intersection of technology, data and business value. You'll own the licence, utilisation and adoption data that underpins executive decision-making, while also helping shape WPP's understanding of emerging AI capabilities through hands-on testing, analysis and prototyping.

We're looking for someone who is equally comfortable reconciling large, complex datasets as they are exploring a new AI feature, building a proof of concept or translating a business challenge into a practical solution. If you're naturally curious, analytical and passionate about identifying the real-world value of technology, this role offers the opportunity to work at the forefront of AI adoption in one of the world's largest marketing and communications companies.

• →Own and maintain licence, adoption and utilisation datasets across Microsoft 365, HR and tenant data sources, ensuring information is accurate, reconciled and audit-ready.
• →Build and automate reporting and analysis processes using tools such as Viva Insights, Power BI, Power Query and Microsoft 365 data sources.
• →Support the measurement of AI adoption and value, helping develop the evidence base behind business outcomes and benefits reporting.
• →Maintain licence, cost and funding models, providing insight that informs investment and adoption decisions.
• →Design and build automations, prototypes and proof-of-concepts using tools including Python, Power Automate, Copilot Studio, Dataverse and Microsoft Graph.
• →Partner with stakeholders across the business to understand challenges, identify opportunities and demonstrate practical AI-enabled solutions.
• →Evaluate newly released AI products and capabilities, turning technical developments into clear recommendations and actionable insights for WPP.
• →Support the operation of the WPP Frontier Lab, helping assess, test and prioritise emerging technologies.
• →Execute pilots and user testing activities, capturing evidence, documenting findings and validating outcomes before recommendations are made.
• →Contribute to executive reporting by turning complex data into clear, credible and decision-ready insights.

• Experience working with large, complex datasets from multiple sources and transforming them into accurate, trusted insights.
• Strong analytical skills with excellent attention to detail and a disciplined approach to data quality.
• Advanced Excel capability and experience working with reporting, analytics or business intelligence tools.
• A natural curiosity about AI, technology and emerging products, combined with the ability to assess their practical business value.
• Experience building automations, workflows, reports, prototypes or proof-of-concepts using modern technology platforms.
• Strong problem-solving skills and the ability to frame solutions around business needs rather than technical features.
• Comfortable engaging with stakeholders at different levels, from operational teams to senior decision-makers.
• Excellent written and verbal communication skills, with the ability to explain complex concepts clearly and concisely.
• A proactive, self-directed approach and enthusiasm for learning new tools and technologies.

• Experience with Microsoft Copilot, Viva Insights or Microsoft 365 adoption and analytics.
• Exposure to Power BI, Power Platform, Dataverse or Microsoft Graph.
• Knowledge of Python or other scripting and automation tools.
• Microsoft AZ-900, DP-900 or equivalent cloud and data certifications.
• Experience supporting digital transformation, adoption, analytics or business change programmes.

Who you are: