This role pays more than
82%
of similar roles. Most pay
$165,000–$225,000
— the shaded band above.
At the midpoint, this role pays about
$240k
versus about
$195k
for comparable roles.
Based on 240 similar postings.
Employer
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
218 open roles
on FindRole.
Listed pay typically runs
$187,100–$270,950
across 216 roles with salary data.
As Senior Manager, GTM Data Science, you will lead a distributed team of data scientists to drive customer and business analytics for the Creative Professional portfolio, including Creative Cloud All Apps, Firefly, and flagship products like Photoshop and Premiere Pro. You will manage the full customer funnel by analyzing engagement patterns, web traffic, conversion, retention, and financial performance across digital surfaces. The role involves identifying behaviors that drive long-term value and translating complex data into actionable insights for Product, Marketing, and Finance leaders to influence roadmaps and growth strategies. To succeed, you must possess expertise in advanced analytics methods such as forecasting, experimentation, and predictive modeling. Required technical skills include proficiency in SQL and Python or R, along with experience using visualization tools like Tableau or Power BI to solve complex business performance challenges.
Python
Machine Learning
SQL
NLP
Data Science
Statistical Modeling
Deep Learning
A/B Testing
Data Mining
Cloud Platforms
Data Lakes
Relational Databases
Information Retrieval
Sentiment Analysis
Topic Modeling
Classification
Data Engineering
Data Science
Analytics
Python
R
SQL
Predictive Modeling
Natural Language Processing
LLM
GenAI
Classification
Data Infrastructure
KPIs
Quantitative Research
E-commerce
Power BI
Power Platform
Power Apps
Power Automate
Databricks
SQL
AI
Data Analytics
Data Engineering
KPI Reporting
Supply Chain Analytics
Automation
Data Pipelines