Adobe · 2 weeks ago
Director of Data Science & Engineering
Adobe is a company focused on changing the world through digital experiences, providing tools for everyone from emerging artists to global brands. They are seeking a Director of Data Science & Engineering to lead a team in building the data foundation and predictive intelligence that drive product success and customer value across the Adobe Experience Platform.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
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
Qualification
Required
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
Benefits
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Recent News
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