Architect, IT Solution Marketing Technologies

Xtivia Inc•Brentwood, TN

6d•$75 - $82•Remote

About The Position

As an IT Solution Architect focused on Marketing Technologies, you will help guide the technology supporting customer engagement and digital marketing initiatives within a large retail environment. You will partner with business and technical teams to understand needs, evaluate solutions, and establish scalable approaches across the marketing technology ecosystem. In this role, you will provide technical direction throughout the solution lifecycle, from early planning and architecture through implementation and ongoing improvement. You will help shape technology roadmaps, evaluate integration approaches, identify opportunities to improve existing systems and processes, and ensure solutions are secure, scalable, and effectively integrated across the broader enterprise environment. You will also help identify and implement opportunities to use artificial intelligence and machine learning within the marketing technology ecosystem. This may include applying AI and ML capabilities to personalization, customer engagement, automation, analytics, decision-making, and other evolving business needs.

Requirements

6+ years of progressively technical experience within Information Technology, Marketing Technology, or a related technology environment
Experience designing, architecting, or providing technical direction for enterprise technology solutions
Hands-on experience applying AI and/or machine learning capabilities within enterprise technology solutions
Ability to identify appropriate AI and ML use cases and incorporate those capabilities into solution architecture and technical designs
Understanding of how AI and ML solutions interact with enterprise applications, APIs, data sources, integrations, and existing technology platforms
Ability to translate business requirements into practical technical approaches and solution designs
Experience developing or contributing to technology roadmaps and longer-term technical strategies
Strong understanding of application architecture, integrations, APIs, data flows, and enterprise system design
Experience working across multiple systems and technical environments where integration and data are critical
Ability to evaluate technical options and clearly communicate recommendations, risks, and tradeoffs to technical and business stakeholders
Experience identifying opportunities to improve existing systems, processes, and technical approaches
Knowledge of service-oriented architecture and object-oriented analysis and design concepts
Understanding of business processes and how technology can be used to improve or support them
Ability to create and maintain clear technical, architecture, and solution documentation
Bachelor’s degree in Computer Science, Management Information Systems, or a related field preferred. A combination of relevant education and professional experience will also be considered.

Nice To Haves

Experience working with marketing technology platforms and customer-facing digital solutions
Exposure to Customer Data Platforms (CDPs), CRM systems, personalization platforms, or marketing automation technologies
Experience integrating ecommerce, loyalty, analytics, marketing, and customer engagement platforms
Understanding of customer journeys, personalization, and omnichannel engagement
Experience within retail, ecommerce, or another high-volume consumer-facing environment
Experience designing or implementing AI and ML solutions supporting marketing, personalization, recommendations, customer analytics, automation, or customer engagement
Experience with generative AI, large language models (LLMs), or other emerging AI capabilities within enterprise applications
Experience evaluating AI and ML technologies and determining where they can provide meaningful business value
Strong understanding of complex enterprise technology environments and integration patterns
Experience facilitating technical discovery or analysis sessions with business and technology stakeholders
Ability to consider technical, operational, and financial factors when evaluating architecture and solution options

Responsibilities

Provide technical direction throughout the solution lifecycle, from early planning and architecture through implementation and ongoing improvement.
Help shape technology roadmaps, evaluate integration approaches, identify opportunities to improve existing systems and processes, and ensure solutions are secure, scalable, and effectively integrated across the broader enterprise environment.
Identify and implement opportunities to use artificial intelligence and machine learning within the marketing technology ecosystem.
Apply AI and ML capabilities to personalization, customer engagement, automation, analytics, decision-making, and other evolving business needs.
Translate business requirements into practical technical approaches and solution designs.
Develop or contribute to technology roadmaps and longer-term technical strategies.
Evaluate technical options and clearly communicate recommendations, risks, and tradeoffs to technical and business stakeholders.
Identify opportunities to improve existing systems, processes, and technical approaches.
Create and maintain clear technical, architecture, and solution documentation.
Facilitate technical discovery or analysis sessions with business and technology stakeholders.
Consider technical, operational, and financial factors when evaluating architecture and solution options.