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$165,000–$223,187.
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About Adobe
Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software
Adobe currently has
282 open roles
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Listed pay typically runs
$148,100–$282,100
across 76 roles with salary data.
The Senior Manager, GTM Data Science leads a distributed team of data scientists to oversee customer and business analytics for the Creative Professional portfolio, including Creative Cloud and Firefly. This leadership role involves analyzing the end-to-end customer funnel, including web traffic, conversion, retention, and ARR impact. You will identify engagement patterns that drive long-term value and translate complex behaviors into actionable recommendations for Product, Marketing, and Finance leaders. The role requires applying advanced data science methods such as segmentation, forecasting, experimentation, and predictive modeling. Candidates must demonstrate proficiency in SQL, Python, or R, along with experience using visualization tools like Tableau or Power BI. You will solve business problems by connecting product usage and customer journeys to integrated views of business health.
Lead, mentor, and develop a high-performing team of data scientists.
Own customer and business analytics for the Creative Professional portfolio, including Creative Cloud and Firefly.
Analyze end-to-end funnel performance across product and digital surfaces to track conversion, retention, and ARR.
Identify customer behaviors and engagement patterns that drive long-term value and product adoption.
Lead weekly business performance reviews to provide narratives on performance drivers, risks, and recommended actions.
Partner with Product, Marketing, and Finance leaders to integrate usage data into an integrated view of business health.
Apply advanced data science methods like forecasting, experimentation, and predictive modeling to improve decision-making.
Translate complex data into actionable recommendations that influence product roadmaps and marketing strategies.
What we're looking for
10+ years of experience in analytics, data science, or a related quantitative field with strong business-facing experience.
4+ years of people management experience leading and developing high-performing teams of analysts or data scientists.
Strong understanding of digital funnels, subscription businesses, product-led growth, customer engagement, conversion, and ARR-based business models.
Proficiency in SQL and Python or R, along with experience using visualization tools such as Tableau or Power BI.
Solid foundation in analytics and data science methods, including experimentation, forecasting, segmentation, and predictive modeling.
Experience running business performance cadences, including weekly executive reviews, performance diagnostics, target tracking, and insight generation.
Bachelor’s degree in a quantitative field required; advanced degree or equivalent experience preferred (e.g., Master’s in Analytics, Data Science, Statistics).
An MBA or equivalent experience is a plus (preferred).
SQL
Python
R
Spark
Snowflake
Airflow
ML Ops
Causal Inference
Statistical Analysis
Data Pipelines
Data Transformation
Experimentation Design
Data Storytelling
Monitoring Systems
Data Integrity