Business Intelligence Engineer, Marketing Finance

Adobe•San Jose, CA

6d•$128,700 - $243,850

About The Position

Adobe’s Marketing Finance organization is reinventing its operations with workflow automation and AI. The Business Intelligence Engineer will embed with marketing finance teams to understand their work and build, maintain, and improve tools, pipelines, and AI-powered workflows that make their jobs easier. The role also partners with IT to shape systems and data sources to better support Marketing Finance. The engineer will prototype solutions with users, incorporate feedback, and support adoption through training. Solutions should be scalable, reliable, and documented, with maintenance coverage supported by IT and Marketing Finance teammates. The role also tests emerging AI capabilities, promotes practical applications, and shares reusable tools and playbooks that can scale across Finance.

Requirements

At least 5 years of technical experience in data engineering, business intelligence, or analytics.
Expertise in Python and SQL.
Experience with DevOps tools such as Git, GitHub, CI/CD, and Jira.
Hands-on experience building AI-powered tools, automations, or agentic systems.
Familiarity with evaluating AI/ML systems.
Experience translating business needs into requirements for IT or engineering teams and partnering with them to implement changes.
Strong communication skills and ability to make technical ideas accessible to non-technical audiences at different levels of AI fluency.
Genuine enthusiasm for AI and eagerness to explore new capabilities.

Nice To Haves

Experience with AI development platforms such as Claude Code, GitHub Copilot, Codex, agent frameworks, Azure, or AWS.
Experience building tools and playbooks that continued to be useful beyond the individual's involvement.

Responsibilities

Embed with marketing finance teams to understand their workflows, friction points, and underlying goals.
Rapidly prototype solutions, gather feedback, and iterate until tools fit how users work.
Train teammates to use new solutions and support their adoption.
Build, improve, and maintain pipelines, data marts, dashboards, automations, and agentic workflows that streamline spend management.
Design solutions to be scalable, reliable, and well documented.
Train IT and marketing finance teammates to provide maintenance coverage.
Test emerging AI capabilities and champion useful applications.
Influence IT to improve upstream systems and data sources for sustainable marketing finance support.
Share and reuse solutions and help establish playbooks and patterns that scale across Finance.