Manager, Data Analytics & Business Intelligence (BI), GOC

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 part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Manager, Business Intelligence (Data Engineering and Reporting) who will:

• Define business requirements to build and maintain stable data architecture that supports marketing efficiency and reliable reporting.

• Design, build, and deploy automated ETL processes and SQL/Python scripts to streamline data extraction, quality checks, and reporting delivery.

• Extract datasets from multiple media platforms and support the intake and quality assurance of partner-provided performance data.

• Develop, update, and maintain highly interactive dashboards and visualizations, ensuring they are accurate, visually impactful, and architecturally sound.

• Support report generation as needed.

• Design, write, and execute test plans, test cases, and automated validation scripts using Python and SQL to ensure reporting accuracy.

• Perform rigorous data validation and reconciliation between visualization platforms, including Power BI, Datorama, and Tableau, and underlying raw data sources or warehouses.

• Perform data hygiene, mapping, and parsing, investigate discrepancies through root-cause analysis, and implement effective fixes.

• Ensure adherence to data governance and taxonomy requirements.

• Support project timelines and deliverable schedules, proactively communicating progress, risks, and dependencies.

• Adapt to changing business needs by supporting different onshore agency teams and coordinating team support when needed.

• Identify and optimize repetitive tasks to improve operational efficiency.

• Maintain comprehensive, up-to-date documentation of workflows, data schemas, QA testing processes, and change logs.