Manager, Data Strategy

WPP Media • New York, NY

13h • Hybrid

About The Position

WPP Unite is a bespoke agency-unit built in service of Unilever, operating as one end-to-end strategy, design, and activation powerhouse for media and retail marketing. There’s never been a more exciting time in marketing, as media and commerce continue to merge to drive meaningful consumer experiences. As one of the most innovative CPG companies in the world, Unilever, the maker of iconic brands such as Dove, Hellmann’s, TRESemmé, Degree and many others, is adapting to this rapidly changing landscape with the help of WPP and its unparalleled network of agencies. At WPP, 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’s shared core values: Be Extraordinary by Leading Collectively to Inspire Transformational Creativity. Create an Open Environment by Balancing People and Client Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Role Summary and Impact: Support the development and maintenance of data engineering solutions for media measurement and analytics, specifically tailored to the needs of our client, Unilever. This embedded role requires close collaboration with Unilever's data engineers, analysts, and business stakeholders, as well as WPP's internal teams, to ensure reliable, scalable, and high-quality data flows for media performance reporting and insights within the client ecosystem. You’ll be part of a team that believes in doing work that matters — for people and the planet, extending this impact directly to our client’s strategic objectives. Because here, we don’t just hire for jobs. We invite you to be part of something bigger.

Requirements

• 3–5 years of experience in data engineering or related field.
• Proficiency with SQL, Python, and cloud data platforms (Azure, AWS, GCP).
• Hands-on experience with dashboard development and maintenance (Power BI, Tableau, or similar).
• Experience with data pipeline tools (e.g., Databricks, Airflow).
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Data Engineering, or related field

Nice To Haves

• Experience with media or marketing data.
• Experience with data visualization platforms beyond Power BI/Tableau.
• Experience in consumer goods or media/advertising industry.
• Exposure to advanced analytics or machine learning workflows.

Responsibilities

• Maintain and support data pipelines for ingesting, transforming, and storing media data from multiple sources, predominantly within the Unilever environment.
• Assist in the implementation of data models and semantic layers to support analytics and reporting use cases for the client.
• Build, update, and maintain dashboards and data visualization tools, ensuring data accuracy and usability for Unilever's business stakeholders.
• Collaborate directly with Unilever's analytics and business teams, as well as WPP internal teams, to understand requirements and deliver data solutions that meet their specific business needs.
• Monitor data quality within the client's data landscape, troubleshoot issues, and implement improvements to ensure data reliability.
• Support the integration of new media data sources and tools relevant to Unilever's marketing and media strategies.
• Document data processes and contribute to best practice sharing within the WPP Media team, while also aligning with Unilever's operational standards. Stay up to date on trends in media data engineering and analytics.
• Partners with WPP's Performance Analytics for dashboard and data needs, and with WPP's Advanced Analytics for model integration, ensuring seamless data flow and consistent application of WPP methodologies.
• Does not own insight generation or methodology design, focusing on the engineering aspect to support both client and WPP teams.

Benefits

• Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees