Marketing Tech AI/ML Architect

Tractor Supply Company; Brentwood (TN); On-site; USD 140,000 - 180,000; Full time

Job summary

Tractor Supply Company seeks an Architect, IT Solution Marketing Technologies to drive domain technology plans in alignment with enterprise goals and business processes within marketing technology systems.

The role focuses on designing scalable solutions, integrating CDPs/CRM platforms, and guiding AI/ML initiatives for personalization, loyalty, and customer engagement across omnichannel retail ecosystems. Strong collaboration with Marketing, Product, Data Science, and Engineering is required.

Qualifications

• 6 years of IT/Martech experience
• Bachelor’s degree in CS, MIS, or related field preferred; other combinations considered
• Experience architecting AI/ML solutions and models for personalization and customer engagement

Responsibilities

• Analyze, design, and develop domain roadmaps aligned with goals, business plans and processes.
• Identify opportunities for system and process improvements.
• Plan project activities for a development or engineering team to meet enterprise schedule.
• Create project design documentation and provide technical oversight for successful delivery.
• Maintain domain standards complying with enterprise standards with secure, well performing integrations.
• Evaluate emerging technology for domain use.
• Document domain technology used to perform business processes.
• Identify, analyze, and communicate architecture and integration options and make recommendations to management.

Skills

AI/ML

Personalization

Customer engagement

APIs & integration

Education

Bachelor's degree in CS/MIS or related field

Job description

Tractor Supply Company seeks an Architect, IT Solution Marketing Technologies to drive domain technology plans in alignment with enterprise goals and business processes within marketing technology systems.

The role focuses on designing scalable solutions, integrating CDPs/CRM platforms, and guiding AI/ML initiatives for personalization, loyalty, and customer engagement across omnichannel retail ecosystems. Strong collaboration with Marketing, Product, Data Science, and Engineering is required.