Director of Data Science & Engineering

Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

About the Role:

The Adobe Experience Platform (AEP) Product Success Engineering (PSE) team is seeking an innovative Director of Data Science & Engineering t is seeking a Director of Data Science & Engineering to build the

data foundation, KPI frameworks, and predictive intelligence that power product adoption, customer health,

platform performance, and operational efficiency. This is a high-visibility, 0-to-1 leadership role responsible for

unifying Adobe’s product usage data and delivering insights that transform how we measure customer value and

drive product success.

You will lead a multidisciplinary team of Data Scientists, Analytics Engineers, and Platform Engineers to architect

scalable data systems, develop predictive models, and enable data-driven decision making across Adobe’s AEP

portfolio.

What You’ll Lead:

Data Strategy & Architecture

Define and deliver the data science, analytics, and platform strategy for Product Success Engineering.

Build a unified data foundation and governance model across diverse data sources.

Evolve internal intelligence into customer-facing insights and dashboards.

Team Leadership

Build and grow a world-class 20+ person data organization.

Establish team structure, processes, and development paths.

Partner cross-functionally with Product, Engineering, Ops, Finance, and Field teams.

Data Platform & Engineering

Architect end-to-end pipelines, cloud data warehouse solutions, and real-time/batch analytics.

Implement data quality, governance, privacy, and metadata standards.

Enable scalable BI, ML, experimentation, and self-service analytics.

Data Science & Analytics

Develop models for customer health, adoption forecasting, and expansion.

Build KPI frameworks for product usage, retention, platform performance, and operations.

Drive advanced analytics (segmentation, funnel insights, causal analysis) and experimentation capabilities.

Business Intelligence & Insights

Deliver dashboards and executive reporting that influence product and business strategy.

Translate complex analysis into clear, actionable recommendations for senior leaders.

Why Join the team:

Lead a greenfield data organization shaping the future of customer success intelligence at Adobe.

Impact product adoption, retention, and value realization across the entire AEP + Apps ecosystem.

Build high-visibility, high-impact capabilities with strong executive sponsorship.

Work with cutting-edge data, ML, and cloud technologies at enterprise scale.

Required Qualifications

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related

quantitative field, with 10+ years of experience in data science, analytics, or data engineering roles,

including 5+ years in data leadership positions managing teams of 10+ professionals

5+ years of hands-on experience in data science and ML, with expertise in predictive modeling, statistical

methods, and model evaluation.

Proven 0-to-1 data leader with a track record of building data foundations, teams, and analytics capabilities

from scratch.

Deep technical proficiency across the modern data stack: ETL/ELT, cloud data warehouses, dbt, Airflow,

SQL, Python, ML frameworks, BI tools, and data governance.

Experience architecting large-scale cloud-native data platforms, real-time and batch pipelines, and working

with diverse SaaS data sources (usage, clickstream, entitlements, cost, CRM/support).

Strong background in B2B SaaS metrics, product analytics, customer lifecycle insights, and operating in

high-growth or data-driven tech environments.

Executive-level communicator with the ability to influence senior leaders, translate analytics into business

insights, and build trusted cross-functional partnerships.

Demonstrated success hiring and leading multidisciplinary data teams while scaling data maturity from

foundational reporting to advanced analytics and predictive intelligence.

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 $186,500 -- $358,250 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.

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.

Adobe is proud to be anEqual 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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