Data Product Lead, YouTube
corporatefare_ YouTube place New York, NY, USA; San Bruno, CA, USA; +2 more; +1 more
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; San Bruno, CA, USA; Mountain View, CA, USA .
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
7 years of experience with data analysis and SQL/MySQL.
7 years of experience in technical troubleshooting, and managing internal/external partners or customers.
7 years of experience in system design or code comprehension in one programming language (e.g., Java, C++, Python, etc.).
Preferred qualifications:
Master's degree in Business, Statistics, Mathematics, Economics, Engineering, Applied Science, a related field or equivalent practical experience.
Experience with delivering data products at enterprises.
Ability to navigate ambiguity in a changing environment with multiple stakeholders.
Ability to think critically and investigate, breaking down issues into manageable components.
Excellent business and technical communication, organizational, and problem-solving skills.
About the job
The YouTube GTM team is responsible for driving all go-to-market functions for the YouTube Business organization including strategy and business operations, analytics and data science, partnership enablement, and product activation. This team combines operational and problem-solving skills with a pragmatic sense of how to get things done and drive change across a global organization.
As a Data Product Manager, you are responsible for shaping go-to-market priorities to accelerate growth and resource the business accordingly, enhancing skills and capabilities to support execution of business priorities. You will drive efficiency across business operations and building excellent go-to-market infrastructure (e.g. data, reports, dashboards and Generative Artificial Intelligence (AI) solutions).
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 $183,000-$265,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 aboutbenefits at Google (https://careers.google.com/benefits/) .
Responsibilities
Lead and manage Go-to-Market (GTM) products supporting the YouTube Business teams.
Utilize core technical role-related knowledge, relevant Google-wide technologies and processes, and translate business needs into technical solutions.
Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.
Design, build, and optimize the data architecture and extract, transform, and load (e.g., Extract, Transform, and Load (ETL)) pipelines to make them accessible for business data analysts, data scientists, and business users to enable data-motivated decision-making.
Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\KnowYourRights\10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
