Director of Data Science & Engineering jobs in United States
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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
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Growth Opportunities
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H1B Sponsor Likelynote

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

Data ScienceMachine LearningData EngineeringPredictive ModelingCloud Data WarehousingETL/ELTSQLPythonExecutive CommunicationTeam LeadershipCross-functional Collaboration

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 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 Company
Total Funding
$2.5M
Key Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M

Leadership Team

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Shantanu Narayen
CEO
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Dan Durn
Chief Financial Officer
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Company data provided by crunchbase