The OpportunityAdobe is looking for a Senior Manager, GTM Data Science to lead customer and business analytics for Adobe's Creative Professional portfolio, spanning Creative Cloud All Apps, flagship single-app products such as Photoshop, Illustrator, and Premier Pro, and Firefly.
This role sits at the center of how we understand customer behavior, diagnose business performance, and guide growth strategy across the Creative Professional portfolio. You will lead a team responsible for analyzing the full customer funnel-from active users and product engagement to web traffic, conversion, orders, retention, and financial performance-across key product and digital surfaces.
The team will go deep into how customers use Adobe's creative products, which workflows and engagement patterns drive conversion and retention, and how Product, Marketing, and GTM teams can sustain momentum and unlock new growth.
This is a high-impact people leadership role at the intersection of data science, product analytics, marketing analytics, and business performance management. Leading a distributed team of data scientists, you will work closely with senior leaders in Product, GTM, Marketing, and Finance. You will build strategy, set goals, identify risks and opportunities, and turn insights into clear business action.
What You'll Do- Lead, mentor, and develop a high-performing team of data scientists
- Own customer and business analytics for the Creative Professional portfolio, including Creative Cloud All Apps, flagship single apps, and Firefly
- Analyze end-to-end funnel performance across product and digital surfaces, from active users and engagement to traffic, conversion, orders, retention, and ARR impact.
- Identify the customer behaviors, creative workflows, product actions, and engagement patterns that drive conversion, retention, and long-term value.
- Develop a deep understanding of customer journeys across Adobe's creative products, including how customers discover, adopt, and move between applications and workflows
- Lead weekly business performance reviews, providing a clear narrative on performance drivers, risks, opportunities, and recommended actions.
- Partner closely with Product, Marketing, Finance, and GTM leaders to connect product usage, customer engagement, acquisition, retention, and financial performance into an integrated view of business health.
- Help establish funnel goals, targets, and leading indicators for growth, and guide cross-functional teams on how to sustain momentum across the portfolio.
- Apply advanced analytics and data science methods-including segmentation, forecasting, experimentation, funnel diagnostics, and predictive modeling-to improve decision-making.
- Improve analytical rigor, business storytelling, and executive communication, including regular engagement with VP-level Product and GTM leaders.
- Translate complex data and customer behavior into clear, actionable recommendations that influence product roadmaps, marketing strategy, and business planning.
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 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 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.
Expected Pay Range:Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $144,800 -- $284,325 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $196,400 - $284,325
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
