Data Science Analytics Jobs in California (NOW HIRING)

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 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.

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $186,500 -- $358,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $247,400 - $358,250
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.