Senior Data Automation Engineer

This is a fully remote position, open to applicants in Minnesota.

📋 Description

• Take ownership of and manage the Marketing Operations Data Mart (MODM).

• Identify new data fields and oversee tables as the definitive reference source.

• Collaborate with IT as business requirements evolve.

• Organize and provide campaign audience lists and segment files for Capella campaigns.

• Act as the subject matter expert for inquiries related to Marketing data.

• Address ad hoc data requests from teams outside of Marketing.

• Offer strategic data consultation on segmentation and audience strategies.

• Review data processes and reports to uncover gaps and opportunities for improvement.

• Serve as a liaison between Marketing, IT, and Data Engineering partners.

• Create automations, API integrations, and AI-driven tools for marketing teams.

• Design and sustain workflow automations in platforms like Adobe Workfront Fusion.

• Pilot and evaluate AI use cases prior to wider implementation.

• Measure and report on the performance and adoption of workflow automation and AI initiatives.

• Diagnose system integrations, API connections, and workflow errors.

• Uphold best practices and facilitate AI adoption throughout Marketing.

• Stay updated on emerging AI tools, platforms, and functionalities.

• Identify workflow inefficiencies and develop scalable, repeatable automation-first solutions.

• Aid in the transition to structured, normalized AI practices within Marketing.

⛳️ Requirements

• Proficient in SQL; experienced with analytic and data retrieval tools (SAS, SQL, and/or R).

• Familiarity with Python or JavaScript for data manipulation and custom automation (preferred).

• Strong technical background in enterprise data systems and data mart environments.

• Knowledge of Email Service Platforms (Eloqua preferred).

• Extensive experience with audience identification, segmentation, and list management best practices.

• Proficient in AI tools, large language models, and prompt engineering.

• Experience in building automations, API integrations, or workflow tools; familiarity with Adobe Workfront, Adobe Workfront Fusion, Zapier, Make, or similar.

• Strong critical thinking and problem-solving abilities.

• Capability to translate ambiguous business questions into data or technical solutions.

• Ability to identify, assess, and evaluate opportunities for process improvement.

• Excellent organizational and planning skills.

• Clear and effective verbal and written communication skills.

• Proficient in explaining technical concepts to non-technical stakeholders.

• Ability to innovate and implement effectively.

• Strong communication and leadership presence.

• Ability to influence change and promote the adoption of new tools and practices.

• Capacity to thrive in an ambiguous environment.

• Strategic thinking and ability to influence at multiple levels.

• 5–8 years of experience in marketing operations, data operations, or a related field.

• Strong database and data management capabilities.

• Knowledge of business and management principles and practices.

• Familiarity with project management principles and practices.

• Bachelor's degree required from an accredited institution.

• Willingness to travel occasionally as business needs arise.

• Availability to work more than 40 hours per week as business demands require.

• Ability to access information using a computer.

🏝️ Benefits

• Medical, dental, vision, life, and disability plans.

• Well-being incentives.

• Parental leave.

• Paid time off.

• Certain paid holidays.

• Tax-saving accounts (FSA, HSA).

• 401(k) retirement benefit.

• Employee Stock Purchase Plan.

• Tuition assistance.

• Entertainment and retail discounts.

• Overtime pay for eligible non-exempt employees.

• Reasonable accommodations for travel limitations and the application process.