Minimum qualifications:
- Bachelor's degree in a research or quantitative field, or equivalent practical experience.
- 7 years of experience designing, scoping, and executing research and analysis projects.
- 7 years of experience translating business problems into research questions and translating research findings and insights into marketing recommendations.
- 4 years of experience in social media, client/customer service, or operations.
- 4 years of experience in a people management, supervision, or team leadership role.
- Experience managing research and measurement agencies.
- 2 years of experience with people management.
- Experience building and operationalizing the latest and best technological tooling for social media tracking, monitoring, and analysis.
- Experience shaping product roadmaps, user experiences, messaging, and positioning through actionable insights and recommendations.
- Track record for driving an innovation agenda and decision-making with data at its core.
- Track record of exceptional performance and high productivity.
- Ability to work on multiple projects simultaneously in a fast-paced dynamic environment and think strategically about complex issues, leading to thoughtful recommendations and action plans.
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About the job
YouTube's Social and Community team operates 24x7 online, representing the brand on the front lines of the internet, helping to shape public conversation, build community, scale support, and protect brand reputation. You will find us on YouTube and Play Store, and in YouTube's official Product Help Communities. We have deep expertise in public community engagement, User Generated Content (UGC) programs, social care, social media crisis response, social intelligence, incident management, and operational excellence.
In this role, you will lead the team that oversees the collection (tooling/infrastructure/AI), intelligence (real-time flagging/monitoring), and interpretation of large social datasets to support informed decision-making across the organization. The primary focus will be to develop systems to stay on top priority known issues and escalations, drive actionable insights, and enhance the overall data infrastructure. This role will require deep cross-functional collaboration to influence product and policy roadmaps and shape the overall user experience.
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 $156,000-$234,000 + 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 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
- Design and implement a comprehensive data intelligence strategy that aligns with organizational objectives.
- Define and evolve team infrastructure needs, in order to keep a robust pulse on the social landscape.
- Evaluate and implement new tools and technologies that can enhance data intelligence capabilities and improve efficiency, especially with regards to the integration of AI functionalities.
- Oversee the collection, storage, and management of large datasets from multiple sources to ensure data accuracy and consistency.
- Develop and maintain reports and dashboards that effectively communicate insights to executives.