Senior Manager, Data Science & AI Strategy

Socket.dev; Mountain View (CA); On-site; USD 240,000 - 333,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a senior leader for BizOps in Mountain View to guide a team of data scientists across the Search+ portfolio. You will partner with executives to turn insights into strategic actions, shaping financial and product outcomes with rigorous analytics and scalable AI tooling.

The role emphasizes leading technical teams, mentoring senior contributors, and driving cross-functional impact in a fast-paced, highly innovative environment.

Qualifications

• Master's degree in a quantitative field or equivalent practical experience.
• 9 years applying analytics to product/business problems; coding in Python/R/SQL; data querying.
• 6+ years as a people manager in technical leadership.
• Experience managing data sets to drive decisions.
• Experience coding (SQL/Python/R) and data querying or statistics.

Responsibilities

• Manage a group of experienced data scientists with a portfolio of projects guiding and supporting decision making in the Search+ space.
• Build strong relationships with the Search+ team leadership and represent a critical and grounded Finance POV in various decision making forums.
• Help the team solve complex and ambiguous problems through combination of technical, statistical, analytical and business acumen.
• Nurture strategic partnership with other analytical teams such as Econ, Product Data Science, and GPS strategists to propose exceptional work to our partners.
• Develop with the team the next generation of AI infrastructure and tooling to increase productivity.

Skills

Analytics leadership

Python/SQL/R

Data management

Statistical analysis

People management

Education

Master's degree

Tools

Google3/Cider/Blaze

Job description

Google is seeking a senior leader for BizOps in Mountain View to guide a team of data scientists across the Search+ portfolio. You will partner with executives to turn insights into strategic actions, shaping financial and product outcomes with rigorous analytics and scalable AI tooling.

The role emphasizes leading technical teams, mentoring senior contributors, and driving cross-functional impact in a fast-paced, highly innovative environment.