Data Engineering Manager

About WPP

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. For more information, visit WPP.com. We are seeking a Data Engineering Manager to lead our Data Engineering practice. This is a role for a hands-on technical expert who can contribute to shape data solutions for world-renowned brands while leading a team of talented engineers. As a leader, you will set the vision and standards for how VML MAP delivers data infrastructure, integrations, governance & orchestration. You will influence outcomes through your expertise and strategic guidance. ## What will your day look like? This is a hands-on technical leadership role where you will both build solutions and shape the practice. This role will have direct people management. - Architecture: Collaborate with architects to define standards for data pipelines, transformations, and integrations across cloud platforms (GCP, Snowflake, Azure) and CRM platforms (Salesforce DataCloud, Adobe Experience Platform, etc.), spanning both traditional data engineering and marketing technology ecosystems. - Implementation: Ensure correct adoption of modern data stacks using dbt, orchestration tools (Airflow), infrastructure-as-code (Terraform), and ELT/ETL frameworks, with a focus on analytics-ready data models. Serve as the final technical escalation resource when projects face complex implementation challenges. - : Act as the trusted technical advisor for clients, providing strategic guidance on their data architecture and identifying opportunities where data infrastructure can drive business value. - : Pioneer emerging capabilities—including agentic automation and AI-driven engineering—while building repeatable solution frameworks and service offerings that reduce time-to-value and enable consistency across client engagements. - : Develop engineers through hands-on mentorship, code reviews, and technical guidance, empowering them to solve complex challenges. - : Work closely with the Global Data Practice Lead and domain practice peers to shape practice direction, standards, and growth. - : Partner with Architects, Strategy Consultants, and client services teams to deliver integrated, winning solutions. ## A leader in personalized customer experiences