Senior Manager, GTM Data Science

Senior Manager, GTM Data Science

Adobe is looking for a Senior Manager, GTM Data Science to lead a team focused on acquisition, conversion, trials, and gross new ARR growth across the digital customer journey. This leader will help shape how Adobe measures, diagnoses, and improves funnel performance—translating customer behavior into clear business actions and growth opportunities. This is a high-impact people leadership role at the intersection of analytics, data science, and go-to-market strategy.

You will lead a team of data scientists and partner closely with Marketing, Finance, Product, Sales, and GTM leaders to drive measurable business outcomes.

What You'll Do

• Lead, mentor, and develop a high-performing team of data scientists and senior data scientists.
• Drive insights across the GTM funnel, with a strong focus on acquisition, conversion, trials, and gross new ARR.
• Lead the team's business performance cadence, delivering weekly performance insights, a clear and aligned narrative on drivers of performance, and actionable recommendations on risks, opportunities, and growth drivers.
• Partner with Marketing, Finance, GTM, Sales, and Product to develop strategy, prioritize opportunities, and inform investment decisions.
• Apply advanced analytics and data science methods, including segmentation, forecasting, and predictive modeling, to improve decision- making and business performance.
• Improve analytical rigor, business storytelling, and the use of advanced analytics to scale decision-making.

What You'll Need to Succeed

• 10+ years of experience in analytics, data science, or a related quantitative field, with strong business facing experience
• 4+ years of people management experience, including leading and developing high performing teams of analysts or data scientists
• Strong understanding of digital acquisition, lifecycle management, retention, and subscription or product-led growth models.
• Demonstrated ability to connect customer behavior and funnel metrics to business outcomes such as conversion, retention, and ARR growth.
• Experience driving business performance rhythms, including recurring performance reviews, executive updates, and insight generation that informs near-term actions and longer-term strategy.
• Strong cross-functional leadership skills and experience influencing senior partners across Finance, Marketing, Product, GTM, and Sales.
• Solid foundation in analytics and data science methods, including experimentation, forecasting, segmentation, and predictive modeling.
• Proficiency in SQL and Python or R, along with experience using visualization tools such as Tableau or Power BI.
• Excellent communication skills, executive presence, and the ability to translate complex analysis into clear business recommendations.
• Bachelor's degree in a quantitative field required; advanced degree or equivalent experience preferred, such as Master's in Analytics, Data Science, Statistics, or related field. An MBA or equivalent experience is a plus.