Chief Architect – Data and AI First

Jobtailor; Dallas (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

Jobtailor in Dallas seeks a seasoned technology leader to define and drive an enterprise-wide data and AI-first strategy, building scalable digital platforms and a trustworthy data foundation.

You will shape architecture, promote API-first designs, lead cloud-native initiatives across AWS/Azure/GCP, and guide teams through AI governance and data analytics to enable data-driven decisions.

Qualifications

• 15+ years of experience in technology, including enterprise architecture or senior technical leadership roles.
• Proven experience designing and delivering large-scale cloud-based systems and platforms.
• Experience with data architecture, analytics, or AI/ML solutions.
• Strong understanding of modern software architecture patterns (microservices, APIs, distributed systems).
• Track record of leading technology transformation initiatives.
• Preferred: experience with leading cloud platforms (AWS, Azure, or Google Cloud).
• Preferred: familiarity with AI governance or data compliance frameworks.
• Preferred: experience building or scaling data platforms (lakehouse, data warehouse, streaming architectures).

Responsibilities

• Lead enterprise-wide technology strategy with a data and AI-first mindset.
• Define and drive architecture enabling data-driven decision making and AI-powered innovation.
• Ensure technology foundation supports long-term growth and operational excellence.
• Establish standards for cloud-native, API-first, scalable system design.
• Design and evolve a modern data platform to support analytics, ML, and AI.
• Lead the development of AI-enabled systems including predictive analytics and automation.
• Promote a data-driven culture with accessible and trusted data across the business.
• Collaborate with executives, product leaders, and engineering teams to influence strategic decisions.

Skills

Enterprise architecture

Data architecture

AI/ML solutions

Cloud platforms

Microservices

APIs

Distributed systems

Technology leadership

Data governance

Data platforms

Job description

Responsibilities

• Lead our enterprise-wide technology strategy with a strong Data and AI-first mindset
• Define and drive the architecture that enables data-driven decision making, AI-powered innovation, and scalable digital platforms
• Ensure our technology foundation supports long‑term growth, innovation, and operational excellence
• Establish standards for cloud-native, API-first, and scalable system design
• Design and evolve a modern data platform to support analytics, machine learning, and AI
• Lead the development of AI-enabled systems, including predictive analytics and intelligent automation
• Promote a data-driven culture, ensuring data is accessible, trusted, and effectively used across the business
• Collaborate with executives, product leaders, and engineering teams to influence strategic decisions

Qualifications

• 15+ years of experience in technology, including significant experience in enterprise architecture or senior technical leadership roles
• Proven success designing and delivering large-scale, cloud-based systems and platforms
• Experience with data architecture, analytics, or AI/ML solutions
• Strong understanding of modern software architecture patterns (microservices, APIs, distributed systems)
• Track record of leading technology transformation initiatives
• Preferred: Experience with leading cloud platforms (AWS, Azure, or Google Cloud)
• Preferred: Familiarity with AI governance, responsible AI practices, or data compliance frameworks
• Preferred: Experience building or scaling data platforms (e.g., lakehouse, data warehouse, streaming architectures)