Director of Analytics & Data Science

Adobe Inc.; San Jose (CA); Hybrid; USD 196,000 - 284,000; Full time

Job summary

Adobe Firefly is expanding its analytics organization as part of rapid growth. This hybrid role blends hands-on analytics with strategic leadership to build and scale a team of data analysts and scientists, partnering with Product, Leadership, PMM, GTM, PLG, and Engineering to drive impact.

You will develop models, create dashboards, and deliver data-driven insights that guide product choices and investments across the customer lifecycle.

Qualifications

• BS, MS, or PhD in statistics, applied mathematics, computer science, engineering, economics, physics, or related field.
• 4+ years leading analytics and data science teams, including mentoring senior individual contributors.
• 5+ years of proficiency in Python and SQL.
• Strong proficiency in querying and manipulating large datasets using cloud tools (Databricks, Spark SQL, Airflow).
• Strong fundamentals in statistics and data visualization skills.
• Experience with A/B testing and sampling methods.
• Excellent communication and stakeholder relationship skills.

Responsibilities

• Perform hands-on analytics early, then mentor and lead a team of data analysts and scientists.
• Develop deep understanding of customers, products, and business performance to inform decisions.
• Advise Product, Marketing, GTM, PLG, and Engineering with data-driven roadmap proposals.
• Partner with senior leadership to shape Firefly's analytics and experimentation strategy.
• Define key metrics and monitor dashboards to assess product health and performance.

Skills

Python

SQL

Leadership

Statistics

Data visualization

Communication

A/B testing

Education

BS/MS/PhD in analytics or related field

Tools

Databricks

Spark SQL

Airflow

Job description

Adobe Firefly is expanding its analytics organization as part of rapid growth. This hybrid role blends hands-on analytics with strategic leadership to build and scale a team of data analysts and scientists, partnering with Product, Leadership, PMM, GTM, PLG, and Engineering to drive impact.

You will develop models, create dashboards, and deliver data-driven insights that guide product choices and investments across the customer lifecycle.