Enterprise IT, Data & AI Architect

CGG • Houston, TX

1d

About The Position

Viridien is seeking a highly experienced Enterprise IT, Data & AI Architect to lead the design, integration, and governance of its technology, data, and AI landscape. This senior role connects business strategy with technical architecture, ensuring that modern applications, cloud platforms, data systems, and AI capabilities collaborate to enhance organizational efficiency and performance. The individual will act as a strategic thought leader, possessing deep knowledge of business processes, enterprise systems, data architecture, and emerging AI technologies. They will be instrumental in shaping the technology roadmap and fostering innovation across the organization. The role involves leading the 'Enterprise and cloud architecture' team, which is part of the 'Global Digital Services' organization. This team, composed of 2 architects, manages Business Systems and Solutions, Cloud and Platform services, and IT service management. They focus on modernizing digital solutions, optimizing the digital workspace, accelerating AI enablement, and improving customer experience through cross-regional collaboration.

Requirements

• Bachelor’s degree in computer science, Information Systems, Engineering, or related field.
• 10+ years of experience in enterprise architecture, data architecture, or solution architecture roles.
• Proficiency with modern IT applications and Azure cloud ecosystem.
• Strong understanding of business processes and the enterprise systems that support them (e.g., ERP, CRM, HCM).
• Extensive experience with data platforms, integration patterns, APIs, and data governance.
• Hands-on experience with AI technologies, including machine learning, generative AI, automation platforms, and AI-enabled enterprise applications.
• Exceptional communication skills with the ability to influence senior stakeholders.

Nice To Haves

• Experience with enterprise architecture tools (e.g., LeanIX, Ardoq, Orbus).
• Knowledge of responsible AI frameworks and MLOps best practices.
• Certifications (e.g., TOGAF, Azure Architect, CDMP, or AI/ML certifications).

Responsibilities

• Define and evolve the enterprise architecture across applications, data, integrations, infrastructure, and AI.
• Align technology choices with business strategy and establish standards and governance.
• Shape the enterprise AI architecture (platforms, MLOps, governance, Responsible AI).
• Identify AI/automation use cases and integrate AI-powered solutions securely and at scale.
• Analyze cross‑functional processes to design architectures that optimize flow and automation.
• Partner with business leaders to align solutions with operational needs and promote modern platforms.
• Develop enterprise data architecture, ensuring robust models, pipelines, and governance.
• Drive MDM, metadata management, and data lineage initiatives in collaboration with data teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior