Director of Data Science & Engineering

SupportFinity, Inc.; San Jose (CA); On-site; USD 247,000 - 358,000; Full time

Job summary

Adobe is seeking a Director of Data Science & Engineering within the Experience Platform Product Success Engineering to unify usage data, build predictive models, and deliver insights that power adoption and health across the AEP portfolio.

Lead a multidisciplinary team of Data Scientists, Analytics Engineers, and Platform Engineers to architect scalable data systems, implement governance, and enable self-service analytics at enterprise scale.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field, with 10+ years of experience in data science, analytics, or data engineering, including 5+ years in people leadership roles managing teams of 10+.
• 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 the ground up.
• Deep technical proficiency across the modern data stack, including 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 integrating diverse SaaS data sources (usage, clickstream, entitlements, cost, CRM, and support).
• Strong background in B2B SaaS metrics, product analytics, customer lifecycle insights, and operating in high-growth, data-driven 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.

Responsibilities

• 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.
• Build and grow a world-class 20+ person data organization.
• Establish team structure, operating processes, and career development paths.
• Partner cross-functionally with Product, Engineering, Operations, Finance, and Field teams.
• Architect end-to-end data pipelines, cloud data warehouse solutions, and real-time and batch analytics.
• Implement data quality, governance, privacy, and metadata standards.
• Enable scalable BI, ML, experimentation, and self-service analytics capabilities.
• Develop models for customer health, adoption forecasting, and expansion.
• Build KPI frameworks for product usage, retention, platform performance, and operations.
• Drive advanced analytics, including segmentation, funnel insights, causal analysis, and experimentation.
• Deliver dashboards and executive reporting that influence product and business strategy.
• Translate complex analyses into clear, actionable recommendations for senior leaders.

Skills

Data leadership

Team leadership

Data science

ML experience

ETL/ELT

Cloud data warehouses

SQL

Python

BI tools

Data governance

Education

Bachelor's degree in a quantitative field

Tools

dbt

Airflow

SQL

Python

BI tools

Cloud platforms

Job description

Our Company

Changing 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.

Our Company

Changing 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.

About The Role

The Adobe Experience Platform (AEP) Product Success Engineering (PSE) team is seeking an innovative 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, operating processes, and career development paths.
• Partner cross-functionally with Product, Engineering, Operations, Finance, and Field teams.

Data Platform & Engineering

• Architect end-to-end data pipelines, cloud data warehouse solutions, and real-time and batch analytics.
• Implement data quality, governance, privacy, and metadata standards.
• Enable scalable BI, ML, experimentation, and self-service analytics capabilities.

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, including segmentation, funnel insights, causal analysis, and experimentation.

Business Intelligence & Insights

• Deliver dashboards and executive reporting that influence product and business strategy.
• Translate complex analyses 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.
• Drive impact on product adoption, retention, and value realization across the 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 a related quantitative field, with 10+ years of experience in data science, analytics, or data engineering, including 5+ years in people leadership roles managing teams of 10+.
• 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 the ground up.
• Deep technical proficiency across the modern data stack, including 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 integrating diverse SaaS data sources (usage, clickstream, entitlements, cost, CRM, and support).
• Strong background in B2B SaaS metrics, product analytics, customer lifecycle insights, and operating in high-growth, data-driven 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 positionis $186,500 -- $358,250 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 $247,400 - $358,250

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

Jan 09 2026 12:00 AM

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.

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