AI-Driven BI Engineer for Marketing Finance

Adobe Inc.; San Jose (CA); Presencial; USD 129.000 - 244.000; Jornada completa

Descripción de la vacante

Adobe Inc. is seeking a technical leader for Marketing Finance, embedding with teams to design, build, and maintain AI-powered workflows that streamline spend management.

You will craft scalable data pipelines, dashboards, and automation, while training users and ensuring reliable, well-documented solutions. The role emphasizes partnering with IT, driving adoption, and evaluating emerging AI capabilities, with finance-focused experience not required but welcomed.

Formación

• 5+ years of technical experience in data engineering, business intelligence, or analytics.
• Expertise in Python and SQL, plus DevOps tooling such as Git, GitHub, CI/CD, and Jira.
• Hands-on experience building AI-powered tools, automations, or agentic systems. Familiar with evaluation of AI/ML systems.
• Experience translating business needs into requirements for IT or engineering teams and partnering with them to make the change.
• Strong communication skills, able to make technical ideas accessible to non-technical audiences at every stage of AI fluency.

Responsabilidades

• Embed with marketing finance teams to understand the real workflow and friction.
• Rapidly prototype solutions, gather feedback, and iterate until the tool fits how people work.
• Train teammates to use what you built so adoption becomes part of the workflow.
• Build, improve, and maintain pipelines, data marts, dashboards, automation and agentic workflows that streamline spend management.
• Influence IT to improve upstream systems and data sources and share what you build across Finance.

Conocimientos

Python

SQL

Git

GitHub

CI/CD

Jira

Herramientas

Data pipelines

Dashboards

Descripción del empleo

Adobe Inc. is seeking a technical leader for Marketing Finance, embedding with teams to design, build, and maintain AI-powered workflows that streamline spend management.

You will craft scalable data pipelines, dashboards, and automation, while training users and ensuring reliable, well-documented solutions. The role emphasizes partnering with IT, driving adoption, and evaluating emerging AI capabilities, with finance-focused experience not required but welcomed.