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!

Key Responsibilities

• Analytics & Business Insights:

Translate marketing business questions into analytical frameworks and data models.

1. Build dashboards and self-service tools that empower business users with actionable insights.

Collaborate with analytics teams to assess marketing return on investment, impact on pipeline, and customer engagement.

• Data Science & AI Solutions:

Develop and deploy machine learning models to improve marketing efficiency—lead scoring, campaign optimization, content personalization, and channel attribution.

1. Explore applications of generative AI and agentic AI to automate insight generation, data summarisation, and decision support.

• Automation & Data Engineering:

Develop and implement automated data pipelines and workflows that integrate data from multiple marketing systems (e.g. Marketo, Salesforce, Dynamics, Adobe Experience Platform).

1. Optimise ETL processes for scalability, quality, and reusability.

Contribute to the team's plan for automation by applying Python, SQL, and cloud-native tools.

• Collaboration & Partner Coordination:

Work closely with Marketing Ops, Data Engineering, and Business Intelligence teams to ensure data consistency and alignment.

1. Communicate technical concepts clearly to non-technical partners, bridging data science and business impact.

Qualifications & Skills

Must-Have:

• 5–8 years of experience in data science, analytics, or data engineering.
• Extensive skill in Python, SQL, and popular data libraries.
• Hands-on experience with data visualisation tools (Power BI, Tableau, or Adobe Analytics Workspace).
• Familiarity with marketing data ecosystems including CRM, marketing automation, campaign management, and web analytics.
• Familiarity with machine learning techniques (regression, classification, clustering, NLP).
• Proven experience building automated analytics workflows and reusable data assets.

Good-to-Have:

• Experience with Adobe Experience Cloud, Marketo Engage, or Salesforce Marketing Cloud.
• Experience with generative artificial intelligence, large language models, or automation frameworks.
• Familiarity with marketing attribution, lead management, or B2B pipeline metrics.
• Experience working in enterprise-scale or matrixed organisations.

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 applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com 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 [email protected] or call (408) 536-3015.