Director Analytics Data Science

JOB LEVEL

M60 / P60

EMPLOYEE ROLE

People Manager

T he Opportunity

We are seeking an experienced Data Scientist to join the Pro Design team!

You will partner closely with Marketing, Product, and Engineering teams to develop data science insights and solutions that inform our overall product / business strategy, acquisition strategies, optimize retention, and forecast demand. Your work will directly influence the Pro Design roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics.

What you'll Do

Define and drive a culture of analytical rigor, including implementing scalable tools and processes that drive visibility, accountability, and action.

Develop and refine customer segmentation models using unsupervised learning techniques to identify behavioral clusters and inform targeting strategies.

Build and maintain forecasting models (e.g., ARIMA, Prophet) to predict demand and user engagement trends.

Define and exemplify the value of customers over and develop strategies to improve it in acquisition and retention processes.

Lead churn modeling initiatives to proactively identify at-risk users and recommend mitigation strategies.

Create reusable machine learning pipelines and data artifacts that scale across the organization.

Collaborate with cross-functional teams to design experiments and interpret results, including A / B testing and cohort analyses.

Share complex modeling outcomes and insights with both technical and non-technical collaborators.

What you need to succee d

10 + years of experience in data science or advanced analytics .

Proven track record in building high performing data science / analytics teams that are diverse, highly collaborative, and work across functions and geographies.

Strong communication skills and a track record of influencing stakeholders, peers, and leaders.

Strong proficiency in Python and SQL for data manipulation, modeling, and analysis.

Experience with Databricks or similar cloud-based data platforms.

Deep understanding of time series forecasting, including ARIMA, Prophet, and other statistical models.

Proven ability to build and deploy unsupervised learning models for customer segmentation.

Expertise in data visualization tools like Tableau or equivalent.

Strong foundation in statistical modeling, experimentation, and lifecycle analytics.

Ability to work independently and lead complex projects from ideation to delivery.

BS degree in computer science or a related degree is required or equivalent practical experience

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 positionis $171,900 $339,850 annually. Paywithin this range varies by work locationand 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 $234,700 - $339,850

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.

State-Specific Notices :

California :

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado :

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts :

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward :

1. Update your Resume / CV and Workday profile - don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll .

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

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