Senior Manager - Data

Posted 17 Days Ago
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Singapore
Senior level
Marketing Tech
The Role
The Senior Manager of Data is responsible for managing data processes, client relationships, and junior data resources, ensuring high-quality data delivery, overseeing project timelines, and gathering requirements for cross-functional initiatives. This role requires a background in data management and a strong understanding of the advertising ecosystem.
Summary Generated by Built In

Job Title: Senior Manager, Data

About Gain Theory

Gain Theory is part of WPP, a creative transformation company that uses the power of creativity to build better futures for its people, planet, clients, and communities.

Gain Theory is a global marketing effectiveness consultancy, that uses data and analytics to deliver successful business outcomes for clients. Our vision is to inspire marketing excellence by helping marketers focus on the right data, not ‘big data’, asking and answering the questions that drive business value. We pair consultancy and technology to foster a data-informed culture that helps to drive sustainable business growth.

 What’s the Vision?
Gain Theory’s vision is to accelerate growth for ambitious brands and our mission is to deliver this growth by empowering smarter, faster, data-informed decisions.

The Role: What will I do?

The role of Sr. Manager of Data is a highly visible role within the team and organization.  As a Sr. Manager of Data, you will have direct client responsibility, management responsibility for your team, and be a technical lead for your direct reports and others.  You will report to the Director of Data for your client squad.

The Sr. Manager of Data is responsible for several areas of the business:

  • 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

Qualifications

  • 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

Values and Behaviors I Demonstrate
Joining Gain Theory means joining a group of people who live, breath and behave by our values:

  •  Be Curious: continuously asking, understanding, learning, and developing.
  •  Be Positive: approaching everything we do with a positive mindset and making positive impact on each other.
  • Act with Consideration: seeing things from someone else’s perspective; respecting and embracing diverse thinking.
  • Make it Better: continuous improvement and stretching our abilities, being honest with ourselves and each other.

Why work for us?

Gain Theory is 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.

Gain Theory is a WPP-owned consultancy. For more information, please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter

Gain Theory is 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.

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

SQL
The Company
HQ: New York, NY
174 Employees
On-site Workplace
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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