About the Job
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.
3743 - Associate Director, Data Engineering, UK
Key Responsibilities
In partnership with others in the BI & DM team, design, build, and implement robust data engineering solutions and data pipelines, high standards for data quality, reliability, and performance.
Serve as senior technical liaison and strategic partner to planning teams, client stakeholders, and cross-functional departments, translating business specifications into precise technical requirements for implementation.
Design and enforce robust validation and auditing processes to ensure the highest levels of data integrity, consistency, and reliability across all platforms.
Oversee the development and maintenance of data pipelines and data models to power dashboarding solutions delivered via the Measure platform, taking ownership of advanced data model design, dashboard deployment strategies, innovation, and change management.
Lead initiatives to identify, evaluate, and integrate new data sources and technologies to enhance the Measure platform's capabilities and drive continuous improvement.
Mentor and guide your direct reports on BI best practices, advanced data modeling, Power BI development, data governance, and effective client engagement.
Required Skills & Abilities
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
Essential
Experience in designing, architecting, and implementing complex data integration strategies, transforming disparate datasets into unified, high-value data models for advanced analytics and visualization.
Extensive experience with cloud data platforms, specifically Google Cloud Platform (GCP) services.
High proficiency in SQL for data manipulation, transformation, and analysis, with an emphasis on optimization and best practices.
Demonstrated experience in designing, building, and maintaining complex and scalable data pipelines (ETL/ELT).
Experience with data transformation tools like dbt.
Experience working with data ingestion tools like Adverity.
Deep understanding and practical application of data modeling techniques.
Extensive experience working with digital marketing, media campaign data, ad serving technologies, and/or web analytics data, with the ability to guide a team in this domain.
Excellent communication, interpersonal, and stakeholder management skills.
Strong strategic thinking, project management, and problem-solving abilities, with a focus on delivering impactful, high-quality solutions.
Desirable:
Experience working with dashboarding tools (PowerBi preferred)
Proficiency in a scripting language like Python.
Exposure to CI/CD practices for data pipelines.
Experience with project management tools such as Jira and Confluence.
Basic understanding of data governance principles.
