Adobe 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 for the Adobe Experience Platform (AEP)
Requirements
- 5+ years of hands-on experience in data science and ML, with expertise in predictive modeling, statistical methods, and model evaluation
- 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
- Proven 0-to-1 data leader with a track record of building data foundations, teams, and analytics capabilities from scratch
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
- 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
- Develop models for customer health, adoption forecasting, and expansion
Other
- 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
- 5+ years in data leadership positions managing teams of 10+ professionals
- Executive-level communicator with the ability to influence senior leaders, translate analytics into business insights, and build trusted cross-functional partnerships
- Ability to work with cutting-edge data, ML, and cloud technologies at enterprise scale
- Strong background in operating in high-growth or data-driven tech environments
