Senior Manager, Data; Media
Listed on 2026-02-18
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IT/Tech
Data Analyst, Data Engineer, Data Science Manager
VML is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award‑winning work for blue chip client partners including AstraZeneca, Colgate‑Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca‑Cola Company, and Wendy’s. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization.
In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.
VML is a WPP agency (NYSE: WPP). For more information, please visit
Who We Are & What We DoGain Theory is a leading global marketing effectiveness and foresight consultancy. We combine quality data, proprietary technology, and advanced analytics to give our clients the confidence to make better informed investment decisions that drive growth. Growth is the defining characteristic of successful organizations, and Gain Theory’s vision is to accelerate growth for ambitious brands. We define ambitious brands as those that generate earnings/profits above the industry average.
We deliver:
- Data strategy, harmonization, and visualization.
- Advanced analytics and modeling, including MMM, attribution and unified measurement, testing, segmentation, behavioral sciences, choice analytics, simulation, war gaming, and forecasting.
- High‑touch consultancy that includes bespoke roadmaps, training and education, industry benchmarking, and activation planning.
At Gain Theory, we love accelerating growth for ambitious brands and people. As a Gain Theorist, you will need to demonstrate behaviors that support our values:
Be Curious, Be Positive, Act with Consideration, and Make it Better.
As a Senior Data Manager
, you’ll play a pivotal role at the intersection of clients, teams, and technology. You’ll take ownership of key client relationships, lead and mentor a talented data team, and act as the go‑to technical expert for both your direct reports and peers across the business.
- Accountable for designing, delivering, and maintaining all aspects of the data management process for assigned clients.
- Direct oversight of, management of, and full accountability for work delivered by all junior data resources (some may be in other global offices/time zones).
- Balancing getting the data perfect or in very good modeling shape versus the demands of the clients around what is required.
- Identifying, building, and automating data collection solutions for various data sources (ad servers, social networks, DSPs, search engines, etc.).
- Building relationships and owning communications with key data owners and contacts to ensure timely delivery of accurate, clean data.
- Project management of all data activities for assigned clients, including managing timelines, identifying/mitigating risks, and communicating impact to downstream dependencies.
- Regularly meet with client leads and line managers to coordinate account planning and client project initiatives, providing resource estimates and expected timing to ensure proper staffing.
- Support the data lead for all assigned clients, providing key information for all internal and/or cross‑client initiatives as needed.
- Train and support the use of new data techniques, best practices, and tools standardized by the Data Center of Excellence.
- Background (6‑8 years+) in Marketing, Statistics, Computer Science, Information Science, Engineering, or a related quantitative field.
- In‑depth experience with all things data, including working with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g., SQL, ETL), and experience driving robust QA processes.
- Familiarity with DBT is highly valued.
- In‑d…
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