Project Analyst (Value & Delivery) - Enterprise AI
AI in this 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.
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.
What you'll be doing
- 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.
What we're looking for
- 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.
Nice to have
- 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:
You're open: we are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic: we approach all that we do with confidence: to try the new and to seek the unexpected.
You're extraordinary: We are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you:
Passionate, inspired people – we champion a culture of people that do extraordinary work
Scale and opportunity – we offer the opportunity to create, influence and deliver projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – unique work and the opportunity to join a group of creative problem solvers.
#LI-Hybrid
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.
How we rate this
Project Analyst (Value & Delivery) - Enterprise AI at WPP rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- What are the limits of Copilot that you've run into, and how did you work around them?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: AI Agents, AI Automation, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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