Project Analyst (Value & Automation) - Enterprise AI
- WPP
- Chennai, India
- INR 1,200,000 – INR 1,800,000
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:
The postholder owns the licence, utilisation and Viva Insights data that underpins executive reporting, and run the Frontier Lab testing rhythm - scanning newly released AI features and products, prototyping them, and turning findings into monthly product notes and costed recommendations. The role is deliberately positioned between the technical and the business: enough depth to test a claim personally, enough stakeholder exposure to translate a business pain point into a feasible solution rather than a promise.
This is a conversion of an existing contract resource who delivered the Copilot rollout data analysis - de-duplicating and reconciling 1,000+ records across HR and tenant sources, identifying the protocol exclusions behind the errors, and getting the dataset to a state senior management could decide from. That work is the proof point for the permanent role.
What you'll be doing:
- Own the licence and user dataset end to end - sourcing, reconciling, de-duplicating and cleaning large HR, Microsoft 365 and tenant records to support Copilot allocation and rollout waves, keeping it audit-clean.
- Build and run automated Viva Insights pipelines and reporting, replacing manual extraction and reconciliation.
- Support the AI value measurement approach from data capture through to the benefit numbers reported to sponsors.
- Maintain Cowork licence, cost and funding models, keeping assumptions documented, current and defensible to Finance, and build cost models for new capabilities so adoption decisions are commercially informed.
- Design and build automations and prototypes using Python, Power Automate, Power Query, Copilot Studio, Dataverse and Microsoft Graph.
- Work directly with teams to surface pain points, demonstrate practical solutions and unblock people testing new workflows.
- Scan new AI product and feature releases continuously, with the Microsoft estate as the priority lane, and produce the first-cut monthly product note: what changed, what it means for WPP.
- Run classification and initial triage into the Frontier Lab pipeline, escalating anything that trips a governance guardrail to the Governance Senior Associate's front-door gate.
- Execute pilots and user acceptance testing to a documented protocol, capturing the evidence behind each decision, and prototype hands-on before recommending - test the claim, then state what it will and will not do.
What you'll need:
- Microsoft AZ-900 and DP-900 or equivalent cloud and data fundamentals.
- Demonstrated ability to take messy, multi-source data - HR, tenant, licensing - and produce a reconciled dataset senior management can decide from.
- Strong Excel and data-handling discipline; working Power BI capability or the aptitude to reach it quickly.
- Analytical curiosity that goes past the surface: asks why this method, this platform, this formula, and can justify the answer.
- Fast learner with a track record of absorbing new tooling and turning it into working output within weeks.
- Problem framing from the stakeholder's perspective - able to sit with a pain point and return options rather than obstacles.
- Evidence-led communication: no capability claimed without having tested it.
- Excellent written English; self-directed operating style with reliable overlap into London hours.
- Comfortable moving between granular data work and a high-level decision conversation, and increasingly able to judge which the moment needs.
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.
Skills
- Data Analysis
- Microsoft Viva Insights
- Microsoft Copilot
- Stakeholder Management
- Project Management
- AI Feature Evaluation
- Reporting








