What are the responsibilities and job description for the Director Data position at VML?
About Gain TheoryGain 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 within 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 the 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 the 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.QualificationsBackground (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 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 Attribution 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 DemonstrateJoining Gain Theory means joining a group of people who live, breathe, 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 a 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.$160,000-$180,000 USDGain 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.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.#J-18808-Ljbffr
Salary : $160,000 - $180,000
