Senior Manager, Data (Media)

Reposted 10 Days Ago
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New York, NY, USA
In-Office
130K-150K Annually
Senior level
Marketing Tech
The Role
As a Senior Manager, Data, you will oversee data management processes, lead a team, maintain client relationships, and drive data-driven growth initiatives.
Summary Generated by Built In

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.

Who we are & what we do:

Gain 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.

Our values are: Be Curious, Be Positive, Act with Consideration, and Make it Better. You can read more about our values here: www.gaintheory.com/our-culture-people-and-value

What you’ll do:

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. Reporting to the Director of Data within your client squad, you’ll help shape how data drives smarter decisions, stronger performance, and greater innovation for some of the world’s leading brands. Beyond day-to-day delivery, you’ll also help chart the future of how Gain Theory harnesses data—pushing the boundaries of automation, scalability, and insight to fuel the next generation of data-driven growth.

Key Responsibilities:

  • 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 (some may be in other global offices/time zones) for any assigned clients
  • 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 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 and line manager to coordinate account planning and client project initiatives. This includes 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

What you’d need to succeed:

  • Background (6-8 years+) in Marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field
  • In-depth experience with all things data including the ability to work 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-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
  • Can lead requirements gathering, project planning, and implementation for both cross-functional internal data initiatives as well as 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 / Power BI will be highly valued
  • Excellent written, verbal, and presentation skills


The base salary range for this position at the time of this posting is indicated below. Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package, click WPP Benefits for more details.

_
$130,000$150,000 USD

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 part of WPP. 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

Dbt
ETL
Power BI
SQL
Tableau
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The Company
HQ: New York, NY
174 Employees
Year Founded: 2015

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.

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