Senior Data and Automation Engineer
AI summary of the role
Own and maintain the Marketing Operations Data Mart (MODM), including sourcing new data fields and coordinating with IT.
What you’ll do
- Manage and deliver campaign audience lists and segment files for Capella campaigns, including complex targeting scenarios.
- Serve as the embedded AI resource for Marketing: build automations, API integrations, and AI-powered tools.
- Develop and maintain workflow automations in Adobe Workfront Fusion and similar platforms.
- Pilot, measure, and report on AI use cases and automated workflows to inform scaling and optimization.
What you’ll bring
- 5-8 years of experience in marketing operations, data operations, or a related field.
- Proficiency in SQL; experience with analytic/data retrieval tools (SAS, SQL, and/or R).
- Strong technical experience with enterprise data systems and data mart environments.
- Proficiency with AI tools, large language models, and prompt engineering.
Technologies
SQL · SAS · R · Python · JavaScript · Adobe Workfront Fusion · Zapier · Make · Eloqua · API · AI · LLM
Source and classification
Internal deployment & tooling · Evidence for this classification:
The Senior Data and Automation Engineer is a key role within Marketing Operations responsible for maintaining the data infrastructure that supports outbound university communication campaigns while building and enabling the AI capabilities the marketing organization needs to operate effectively and grow. This role owns the data mart, audience management, and list delivery functions that underpin campaign execution — and also serves as the team's embedded AI resource and consultant, building automations, integrations, and tools, and enabling the broader marketing organization to adopt AI practices with structure and intention. This individual operates at the intersection of data operations and emerging technology, translating business needs into data solutions and AI-powered workflows. The role requires someone equally comfortable in the technical details of our data environment and in
More from the job description
The Senior Data and Automation Engineer is a key role within Marketing Operations responsible for maintaining the data infrastructure that supports outbound university communication campaigns while building and enabling the AI capabilities the marketing organization needs to operate effectively and grow. This role owns the data mart, audience management, and list delivery functions that underpin campaign execution — and also serves as the team's embedded AI resource and consultant, building automations, integrations, and tools, and enabling the broader marketing organization to adopt AI practices with structure and intention. This individual operates at the intersection of data operations and emerging technology, translating business needs into data solutions and AI-powered workflows. The role requires someone equally comfortable in the technical details of our data environment and in strategic conversations about where automation and AI can create lasting value for the marketing organization. Essential Duties & Responsibilities: Data Operations Own and maintain the Marketing Operations Data Mart (MODM), including sourcing new data fields, managing tables as the reference source of truth, and coordinating with IT as business needs evolve. Manage and deliver campaign audience lists and segment files for Capella campaigns, including complex targeting scenarios that require da [... source excerpt omitted ...] bile within the office, including movement from floor-to-floor using elevators or stairs. If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location. Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location. This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies. Must be able
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