Senior Manager, Data Science - Acrobat & Express

Adobe Adobe · Enterprise · San Jose, CA +2

Senior Manager for Data Science at Adobe, leading a team focused on audience and customer analytics for Acrobat and Adobe Express. The role involves analyzing the full customer funnel, diagnosing business performance, guiding growth strategy, and translating insights into business actions. It requires people leadership, cross-functional collaboration, and applying advanced analytics methods.

What you'd actually do

  1. Lead, mentor, and develop a high-performing distributed team of data scientists across the US and Europe.
  2. Own audience and customer analytics for Acrobat and Adobe Express, with a focus on understanding end-to-end customer behavior across the digital funnel.
  3. Analyze full-funnel performance across key surfaces, including web and desktop, from MAU to paywall traffic, conversion, orders, and ARR impact.
  4. Identify the customer behaviors, product actions, and engagement patterns that drive conversion, such as which Acrobat verbs and workflows lead users to purchase.
  5. Lead weekly business performance reviews and provide a clear narrative on what is driving performance, where the business is on track or off track, and what actions teams should take next.

Skills

Required

  • 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
  • Experience leading global or distributed teams, with the ability to develop clarity, alignment, and accountability across time zones.
  • Strong understanding of digital funnels, subscription businesses, product-led growth, customer engagement, conversion, and ARR-based business models.
  • Demonstrated ability to connect customer behavior, product usage, funnel performance, and financial outcomes into a clear business narrative.
  • Experience running business performance cadences, including weekly executive reviews, performance diagnostics, target tracking, and insight generation.
  • Strong cross-functional leadership skills and experience influencing senior collaborators 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 or equivalent experience in a quantitative field required; advanced degree preferred, such as Master’s in Analytics, Data Science, Statistics, or related field. MBA is a plus.