Head of Data Science, Sell-Side Monetization

2 Months ago • All levels • Data Analyst

Job Summary

Job Description

The Head of Data Science, Sell-Side Monetization at Google's Trust and Safety team is responsible for defining and implementing the vision and strategy for business analytics and reporting related to Publisher Quality and YouTube Monetization. This role involves developing comprehensive metrics, tools, and dashboards, building executive-level reporting, understanding the measurement of integrity outcomes, and partnering with Data Engineering. The position requires strong leadership skills to lead and mentor a geographically dispersed team, fostering collaboration and innovation. Key responsibilities include defining the vision, developing metrics and tools, building executive reporting, partnering with engineering, and leading a team of data analysts and program managers.
Must have:
  • Bachelor's degree or equivalent experience
  • Data privacy and security compliance experience
  • Knowledge of statistics and optimization models
  • Strong communication and presentation skills
  • Leadership and people management skills

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • Experience with compliance and regulatory requirements related to data privacy and security.

Preferred qualifications:

  • Knowledge of statistics and optimization models and methods.
  • Ability to take an entirely ambiguous and complex problem and make it tractable, and in turn solve it using appropriate quantitative methods.
  • Excellent communication and presentation skills, with the ability to effectively convey complex information to diverse audiences.
  • Strong leadership and people management skills, with a proven track record of building and motivating high-performing teams.

About the job

Google's brand is only as strong as our users' trust--and their steadfast belief that our guiding principles are what's best for them. Our Trust and Safety team has the critical responsibility of protecting Google's users by ensuring online safety by fighting web abuse and fraud across Google products like Search, Maps, Google Ads and AdSense. On this team, you're a big-picture thinker and strategic leader. You understand the user's point of view and are passionate about using your combined technical, sales and customer service acumen to protect our users. You work globally and cross-functionally with Google developers and Product Managers to navigate challenging online safety situations and handle abuse and fraud cases at Google speed (read: fast!). Help us prove that quality on the Internet trumps all.

As a Manager in Trust and Safety, you lead a team responsible for protecting Google and its users by fighting abuse and fraud for at least one Google product. You ensure trust and reputation not only for this product, but also for Google as a broader brand and company. You are a strategic leader who possesses the ability to work globally and cross-functionally with several internal stakeholders through effective relationship building, influence and communication. You demonstrate analytical thinking through data-driven decisions. You have the technical know-how, charisma and ability to work with your team to make a big impact.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Responsibilities

  • Define and implement the vision and strategy for business analytics and reporting related to Publisher Quality and YouTube Monetization within the Trust and Safety.
  • Develop comprehensive metrics, tools, and dashboards that empower business teams to effectively monitor and achieve operational outcomes. Build executive-level reporting to facilitate data-driven decision-making and business management.
  • Understand the measurement of integrity outcomes and operational contributors. 
  • Partner closely with Data Engineering to advocate for essential infrastructure development. Align with Data Science teams and other analytics functions to establish a clear and efficient operating model.
  • Lead, mentor, and develop a geographically dispersed team of data analysts and tooling program managers, fostering a culture of collaboration, innovation, and excellence.

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