Data Product Lead, YouTube
Google · New York, NY
- On site
- Full-time
- $265,000 / year
- New York, NY
This role may have been filled. Drop your résumé and we'll check if it's still open — or find you similar roles.
Job highlights
- Lead YouTube's Go-to-Market data products.
- Translate business needs into technical solutions.
- Design and optimize data architecture and ETL pipelines.
- Enable data-motivated decision-making across teams.
- Shape GTM priorities for accelerated growth.
About the role
Data Product Lead, YouTube
The YouTube GTM team is responsible for managing 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.
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.
Key skills/competency
- Data Analysis
- SQL/MySQL
- Technical Troubleshooting
- System Design
- Data Products
- Go-to-Market (GTM)
- ETL
- Data Architecture
- Business Communication
- Stakeholder Management
Skills & topics
- Data Product Lead
- Data Analysis
- SQL
- System Design
- Go-to-Market
- ETL
- Data Architecture
- Product Management
- YouTube
How to get hired
- Tailor your resume: Highlight your 7+ years of experience in data analysis, SQL, technical troubleshooting, and system design, aligning with Google's requirements.
- Showcase data product expertise: Emphasize your experience delivering data products and navigating ambiguity with multiple stakeholders, relevant for a Data Product Lead role.
- Quantify achievements: Use specific metrics and examples to demonstrate your impact in previous roles, especially in go-to-market strategies and data infrastructure development.
- Prepare for technical interviews: Be ready to discuss system design, code comprehension (Java, C++, Python), and SQL/MySQL scenarios relevant to data product management at Google.
- Understand Google's culture: Research YouTube's mission and Google's values to articulate how your problem-solving and communication skills fit their innovative environment.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the typical career path for a Data Product Lead at Google's YouTube?
- The Data Product Lead role at YouTube involves leading go-to-market data products, requiring a blend of technical expertise and business acumen. Career progression often involves moving into more senior product management roles, leading larger teams, or specializing in areas like AI-driven product development within Google's vast ecosystem.
- How does Google's YouTube team approach data-driven decision-making for Go-to-Market strategies?
- The YouTube GTM team prioritizes data-driven decision-making by building robust data infrastructure, including ETL pipelines and dashboards. The Data Product Lead role is central to this, ensuring data is accessible and actionable for analysts and business users to inform strategy and resource allocation.
- What are the key technical skills required for the Data Product Lead role at YouTube?
- Key technical skills for this Data Product Lead position include extensive experience with data analysis, SQL/MySQL, technical troubleshooting, and system design or code comprehension in languages like Python or Java. Proficiency in designing and optimizing data architecture and ETL pipelines is also crucial.
- How does Google support work-life balance for its Data Product Leads?
- Google offers comprehensive benefits and a culture that aims to support work-life balance. While specific team dynamics can vary, the company provides resources and flexibility to help employees manage their professional and personal lives, especially given the collaborative nature of the YouTube GTM team.
- What opportunities exist for working with Generative AI in the Data Product Lead role at YouTube?
- The Data Product Lead role at YouTube explicitly mentions building excellent go-to-market infrastructure, including Generative Artificial Intelligence (AI) solutions. This indicates a strong focus on leveraging AI to enhance data products and drive efficiency within the GTM organization.
- Can I apply for the Data Product Lead position if I don't have a Master's degree?
- Yes, a Bachelor's degree or equivalent practical experience is considered a minimum qualification for the Data Product Lead role. While a Master's degree is preferred, extensive relevant experience can be equally valued, especially in areas like delivering data products and managing stakeholders.
- What is the typical interview process for a Data Product Lead at Google?