Manager, Data

Wunderman Thompson

Department: Data & Analytics

Expertise: Data

Location: Minneapolis, MN, United States

Who we are:

At Wunderman Thompson we exist to inspire growth for ambitious brands. Part creative agency, part consultancy and part technology company, our experts provide end-to-end capabilities at a global scale to deliver inspiration across the entire brand and customer experience.

We are 20,000 strong in 90 markets around the world; our people bring together creative storytelling, diverse perspectives, inclusive thinking, and highly specialized vertical capabilities to drive growth for our clients. We offer deep expertise across the entire customer journey, including communications, commerce, consultancy, CRM, CX, data, production, and technology.

Gain Theory (A Wunderman Thompson Company) 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
  • Excellent written, verbal, and presentation skills

ABOUT GAIN THEORY:

Gain Theory is a global marketing effectiveness consultancy, empowering marketing and insight professionals to create agile, smarter, data-informed cultures using data, technology and advanced analytics.

As an independent practice within WPP, Gain Theory is trusted by clients around the world to enhance business performance in both the short and long-term by improving marketing effectiveness and efficiency, increasing baseline profits, growing market share and driving share price growth.

The global team consists of 200+ consultants, data scientists, mathematicians and marketing technology specialists who operate globally servicing 113 markets worldwide.

At Wunderman Thompson, we are committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect.  As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Wunderman Thompson is a WPP agency.  For more informationplease visit our website and follow Wunderman Thompson on our social channels via Twitter, Facebook, LinkedIn, and Instagram.  

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