Director of Data Science & Engineering

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. 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 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 ... (truncated, view full listing at source)