Group Marketing Data Science and Infrastructure Manager

Minimum qualifications:

• Bachelor's degree or equivalent practical experience
• 15 years of experience in client-side media, marketing data science, and engineering
• Experience leading a team of full-time team members and contractors
• Experience developing media measurement methodologies, such as marketing mix models, multi-touch attribution logic, and causal lift studies

Preferred qualifications:

• Experience with the technology industry and products
• Ability to link insights to strategy and translate ideas into simple and intuitive communications
• Ability to operate in an ambiguous and collaborative environment
• Excellent project management, stakeholder management, and process flow skills

About the job

In this role, you will enable analysis related to incremental impact of marketing efforts and methods of optimization for the YouTube Marketing team. You will be responsible for working with internal and external data sets, tools and vendors, developing methodologies, and building the data infrastructure needed to execute regular analysis. You will manage a team of data scientists, responsible for model development and analysis of YouTube audiences, and data engineers.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

The US base salary range for this full-time position is $208,000-$312,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Adopt and develop data infrastructure to allow for analysis of marketing impact across key data sets. Manage data pipelining, development of data tables, creation of relevant script/code and implementation of dashboards.
• Analyze and develop explanatory models and predictive models using appropriate mathematical methods, helping to inform outcomes-based marketing plans
• Develop models and tools to enable marketing optimization and selection, such as criteria selection scorecards and natural language processors. Work across teams to define metric definitions.
• Manage agency relationships, vendors, and direct reports. Serve as a thought leader who does not just execute, but is able to convey possibilities, limitations and solutions in a successful way.
• Be a trusted advisor to key stakeholders and cross-functional teams. Frame and translate business questions into appropriate action plans for the team.