Head of Technical Solutions and Insights Analytics

Key Skills

Data science techniques, Leadership Skill, People management, Product Analytics, Python Programming, R Programming, SQL

Job Description

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 3 years of experience in people management/leadership.

Preferred qualifications:

• 11 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• 6 years of experience as a people manager within a technical leadership role.
• Experience translating business questions into analyses, and using mathematical techniques to surface actionable insights from very large datasets.
• Data analysis skills in a business context with demonstrated success in presenting large datasets in a clear and compelling manner that inspires action.

About the job

As the Head of Technical Solutions and Insights (TSI) Analytics, you will lead our data science team dedicated to supporting gUP-wide multi-year technical solution initiatives by co-owning delivery of all phases of user success initiatives: opportunity sizing, recommendations generation, implementation, and success measurement.

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).

The US base salary range for this full-time position is $221,000-$314,000 + 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

• Lead a high impact and highly skilled Data Science team to deliver reporting, advanced analytics, and strategic insights that drive business impact.
• Partner across gUP Engineering and PPE teams to deliver gUP/CE technology roadmap by helping identify opportunities, design and launch experiments, assess outcomes, build scaled insights reporting, and inform future investment decisions.
• Help the team translate ambiguous business goals into effective analysis plans in collaboration with other Analytics subteams (Product analytics, Consumer Support analytics).
• Oversee analytical work, advise on methodologies, influence executive decisions, and help set the direction and priorities of the overall team.
• Foster a collaborative and inclusive culture where people grow and learn.