Define and execute the long-term vision for data science within Cloud Marketing, building scalable ML/AI capabilities that optimize the B2B customer journey.

Oversee the development and deployment of robust AI-native data science capabilities and predictive models to accelerate marketing motions and personalize marketing outreach at scale. Deploy intelligent agents to automate experiences and drive engagement across various channels.

Lead the creation of sophisticated attribution models and incrementality experiments to quantify marketing impact, optimize media spend, and unlock insights into funnel performance.

Partner with GTM, sales operations, and engineering leadership to integrate data science capabilities into operational workflows (e.g., CRM systems), ensuring high adoption and alignment with business goals.

Build, mentor, and lead a high-performing team of data scientists, fostering a culture of technical excellence, innovation, and thorough statistical methodology.

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.

Experience managing and developing teams of data scientists.

Experience building and deploying machine learning models for business applications (e.g., lead scoring, attribution, forecasting).