Architect, IT Solution Marketing Technologies

Posted Yesterday
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Brentwood, TN, USA
In-Office
75-82
Senior level
Professional Services • Consulting
The Role
Designs and guides enterprise marketing technology solutions across architecture, integration, implementation, and continuous improvement. Translates business needs into scalable technical designs, develops roadmaps, evaluates technologies, and communicates risks and tradeoffs. Applies AI and machine learning to personalization, customer engagement, analytics, automation, and decision-making. Partners with business and technical stakeholders across complex systems, APIs, data sources, and customer-facing platforms.
Summary Generated by Built In

Description

Work Location Brentwood, TN

Duration Contract to hire
Travel 0%

How you will make a difference
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

What you bring to your new team 

  • 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.

How you add even MORE value 

  • 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

Get to know XTIVIA 

XTIVIA is an innovative B2B technology enterprise solutions company committed to providing integrated technology solutions and services, delivering measurable results as a trusted industry thought leader for 30 years.  

Our services include managed services and business solutions, like DevOps, CRM, and ITSM; database support and management; application solutions, including mobile apps; ERP solutions for GovCon and the private sector; and platform integration, with APIs as well as digital experience CMS solutions.

If you can imagine the business outcome, XTIVIA can create it with technology. 

XTIVIA has offices in Colorado, New York, New Jersey, Texas, and Virginia. 

xtivia.com

How we take care of our team members

For XTIVIA to recruit—and retain—the most experienced and talented people, XTIVIA offers a highly competitive and comprehensive benefits package. Our employees are our corporate family, so benefits extend beyond our employees to include their families. We provide affordable medical, dental, and vision benefits. Other benefits include a 401(k) plan with match, company-paid disability and life insurance, voluntary life insurance options, an Employee Assistance Program (EAP), identity and fraud protection, recognition and wellness programs. To promote a healthy work-life balance, XTIVIA offers team members flexible paid time off and remote and flexible work options, enabling you to spend time with family and recharge as needed without worrying about accruals. In addition, we encourage ongoing career development by offering paid training and certification opportunities. Our benefits are designed and focused around our culture and core values, treating people the way we would like to be treated. XTIVIA has been certified four years in a row as a great place to work.

This position has an expected salary range of $start of range - $end of range.

You will also be eligible for the XTIVIA employee bonus plan. (if applicable)

Your compensation is based on your skills and experience -- talk with your recruiter to learn more.

What We Promise

At XTIVIA, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion,  age, sex, national origin, disability status, genetics, military and veteran status, sexual orientation, gender identity or expression, marital status, parental status, and any other characteristic protected by applicable laws. XTIVIA believes that diversity and inclusion among our team members are critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

Skills Required

  • 6+ years of progressively technical experience in Information Technology, Marketing Technology, or a related technology environment
  • Experience designing, architecting, or providing technical direction for enterprise technology solutions
  • Hands-on experience applying artificial intelligence and/or machine learning capabilities within enterprise technology solutions
  • Ability to identify appropriate AI and machine learning use cases and incorporate them into solution architecture and technical designs
  • Understanding of how AI and machine learning 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, or equivalent relevant education and professional experience
  • Experience working with marketing technology platforms and customer-facing digital solutions
  • Exposure to Customer Data Platforms, 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 machine learning solutions for marketing, personalization, recommendations, customer analytics, automation, or customer engagement
  • Experience with generative AI, large language models, or other emerging AI capabilities within enterprise applications
  • Experience evaluating AI and machine learning 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
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The Company
Colorado Springs, CO
Year Founded: 1992

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