Gain Theory is looking for a Manager to support our data efforts for key clients in North America. The manager will be primarily client facing where they will oversee, manage, and build robust data management solutions required for Gain Theory to deliver our full analytical solutions to clients. This individual will be an innovative, problem-solving networker who is motivated to drive data initiatives within North America and globally.
The manager will need to collaborate with a diverse team of client leads, data engineers, analysts, designers, solution owners, and various COEs (centers of excellence) in a global matrix structure. Our teams bring together cutting-edge data engineering, advanced analytics, unified measurement products and enterprise scalable engineering to build products that will shape the next decade of faster, smarter, data informed decision-making. We believe consumer privacy, client confidentiality, brand growth and user experience are essential to performance.
Key Responsibilities
Client Data Management
- Accountable for designing, delivering, and maintaining all aspects of the data management process for any assigned clients
- Direct oversight of, management of, and full accountability for work delivered by all junior data resources (Note: some may be in other global offices/time zones) for any assigned clients
- Identifying, building, and automating data collection solutions for various data sources including 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 known risks, communicating impact to downstream dependencies, etc.
- Regularly meet with client leads to coordinate account planning and client project initiatives. This includes providing resource estimates and expected timing to ensure proper staffing
Data COE Support
- Serve as the data lead for all assigned clients providing key information for all internal and/or cross client initiatives as needed
- Train and support use of new data techniques, best practices, and tools standardized by the DCOE
- Role may include dotted line support for North America data resources that support other clients. Tasks would include informal check ins, knowledge shares, career progression advice, etc.
Qualifications
- Bachelor’s Degree in business, Marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field
- In depth experience with all things data including ability to work with a variety of datasets from multiple sources, familiar with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes
- In depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and reporting
- Media agency experience will be highly valued
- Familiarity with the basics of various programming languages (VBA, Python, Java, R) and programming concepts (functions, for loops, etc.) will be highly valued
- Can lead requirements gathering, project planning, and implementation for both cross functional internal data initiatives as well client-side data projects
- Has project management skills including planning tasks and deliverables, managing timelines and risks, managing team resource allocation, and overseeing multiple simultaneous projects
- Ability to manage and motivate Gain Theory team members
- Organized, detail-oriented, QA-focused
- Experience/familiarity with Multi-Touch Attributions solutions and/or Market Mix Modeling will be highly valued
- Experience with key reporting solutions such as Tableau will be highly valued
WPP (Gain Theory) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Gain Theory is a WPP-owned consultancy. For more information, please visit please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter.
Note: We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment
When you click "Submit Application", this will send any information you add to Gain Theory. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice which explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
Top Skills
What We Do
Gain Theory is a global marketing effectiveness and foresight consultancy with expertise in data, advanced analytics, and technology. We exist to accelerate growth for ambitious brands by empowering smarter, data-informed marketing investment. Our experts fuse hindsight, insight, and foresight to improve investment decisions and activate growth at speed.
Gain Theory is a recognized Leader in The Forrester Wave™: Marketing Measurement and Optimization, Q3 2023.
Available in 58 markets, our award-winning solutions and highly specialized vertical expertise support clients via five measurement and optimization pillars:
Marketing Effectiveness Index: The MEI diagnostic tool that pinpoints the barriers to and opportunities for growth – a great place to start your journey with us.
Data excellence: When it comes to data, we’re focused on quality because your most important investment decisions need to be informed by the best possible data.
Sources of growth: Understanding where growth has come from in the past, is coming from today, and will come from in the future is vitally important as it enables you to target your investment more effectively.
Levers of growth: When you know where your growth will come from, you then need to know how you can accelerate it using MMM, attribution, unified measurement, and test and learn.
Foresight: Much of the data that marketers rely on to make decisions is inherently backward looking. We can help you to plan more accurately for what might happen in the future.
.jpg)
 (1).png)
