Director 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 cultures

The Role: What will I do?

The role of Director of Data is a highly visible role withing the company. Reporting to the Global Data Lead, the director will need to collaborate with a diverse team of client leads, data engineers, analysts, designers, solution owners, and various COEs in a global matrix structure. On a day-to-day basis the Director of Data will head up and lead the data management and dedicated data team (approximately 10 people) for a group of client engagements across multiple industries (the squad).

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 that consumer privacy, client confidentiality, brand growth and user experience are essential to performance.

The Director is responsible for several areas of the business:

• Work with the Squad lead and client leads to manage clients, work and delivery timelines
• Lead a group of highly motivated and trained data experts that exist in a geo distributed manner to deliver high quality data to our internal and external partners, deliver projects on time, and grow their team’s impact on the company
• Lead conversations on data management on calls/meetings with clients
• Drive innovation and automation across the squad to increase the effectiveness and efficiency of our work
• Work with the Data COE leaders to test and scale new technologies and platforms
• Mentor the team on career growth and technical skillsets
• Work with other leaders to decrease friction of the work and to build a positive and collaborative culture
• Provide technical consultation to client leads and client teams for complex data requirements
• Coordinate with resourcing team to provide client leads with data scoping and resource estimates
• Direct and lead data resources to support assigned NA clients on data techniques, best practices, and tools to enable them to better support their ongoing client data work
• Regularly meet with global data lead community for knowledge sharing and other leadership opportunities
• Act as a player/coach, with a willingness to work in the day-to-day data processes as needed to meet client expectations
• Lead and manage a geographically dispersed team across APAC and NA, fostering effective communication and collaboration across time zones.

Qualifications

• Background (8-10 years+) in 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
• 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 Snowflake is highly valuable
• Experience with DBT is highly valuable
• Experience with BI visualization platforms is highly valuable
• Experience with Python is highly valuable
• 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.

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.

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$160,000-$180,000 USD

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.

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