Manager Data & Tech

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.

Job Description: Manager, Data & Technology

Role Overview The Manager, Data & Technology is responsible for leading data transformation initiatives, building scalable analytics solutions, and enabling data‑driven decision‑making for clients. This role bridges business needs, media performance, and technology by designing robust data pipelines, dashboards, and advanced analytics models.

Key Responsibilities

Lead the development of automated reporting solutions, reducing manual reporting efforts and significantly improving reporting efficiency and turnaround time.

Design, build, and maintain ETL processes using SQL to clean, standardize, and integrate data from multiple media platforms (e.g., Facebook Ads, Google Ads, TikTok Ads, Twitter Ads, DV360) and site analytics tools (e.g., Adobe Analytics) into cloud‑based data warehouses such as Google BigQuery.

Develop and manage interactive dashboards using Looker Studio and Power BI to deliver actionable insights for clients, including:

Plan Budget vs. Actuals Overall and weekly performance tracking Audience and creative performance analysis

Establish and maintain data governance frameworks using SQL, Google Cloud Platform (including DataPlex), and BI tools to ensure data accuracy, consistency, and standardized naming conventions across campaigns and URLs.

Build and manage Competitive Intelligence Monitoring systems by transforming social media and YouTube activity metrics into estimated media spending using industry benchmarks (e.g., CPM, CPE), enabling clients to assess competitors’ market presence.

Lead the development of advanced analytics solutions, including Marketing Mix Modeling (MMM), using SQL and R to analyze channel effectiveness, identify diminishing returns, and optimize budget allocation.

Translate complex data outputs into clear insights and visualizations through tools such as R Shiny, ensuring accessibility for both internal stakeholders and clients.

Partner closely with media, strategy, and client teams to ensure data solutions align with business objectives and client needs.

Mentor junior team members and promote best practices in analytics, data engineering, and reporting.

Key Skills & Qualifications

Strong expertise in SQL and data modeling.

Hands‑on experience with cloud data platforms, particularly Google BigQuery and Google Cloud Platform.

Proficiency in BI and visualization tools such as Looker Studio and Power BI.

Experience working with media and digital marketing data.

Knowledge of advanced analytics techniques, including Marketing Mix Modeling.

Experience with R (including R Shiny) is a strong advantage.

Strong problem‑solving, stakeholder management, and communication skills.

About WPP Media WPP Media is WPP’s global media collective, bringing together world‑class media agencies, talent, and capabilities. We partner with clients to unlock growth by combining strategic thinking, creativity, and performance‑driven media solutions.

At WPP Media, our people and culture are at the heart of everything we do. We believe in strong collaboration, trust, and continuous growth to deliver exceptional results for our clients and meaningful experiences for our teams.

Our Core Values

We’re Open: we build trust and enhance understanding by working collaboratively – across our teams, clients, and partners.

We’re Optimistic: we adopt a growth mindset throughout our business, embracing change to unlock our collective potential.

We’re Extraordinary: in pursuit of innovation and growth, we push boundaries and challenge ordinary thinking and the status quo.

Please read our Privacy Notice for more information on how we process the information you provide.

#J-18808-Ljbffr