Data & AI Architect
Posted 5 Aug 2026
Advertised as “Data and AI Architect (Saudi Arabia)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 15+ yrs
- Management level
- Individual contributor
No salary listed for this role.
Field of studyComputer Engineering, Computer Science, Data Science, Information Systems, Information Technology (or related)
Study levelBachelor's
Field of studyArtificial Intelligence, Computer Science, Data Science (or related)
Study levelMaster's
The Data and AI Architect is responsible for defining and governing the organization's enterprise data architecture while extending it to support Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities. The role ensures that enterprise data assets are trusted, governed, secure, and optimized to enable advanced analytics, scalable AI solutions, and data-driven decision-making across the organization.
Education
- Bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a related field (required).
- Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related discipline is preferred.
Experience
- Minimum 15+ years of progressive experience in enterprise data architecture, data governance, and information management.
- Proven experience designing enterprise-scale data platforms and integrating AI and machine learning capabilities into enterprise architectures.
- Experience establishing enterprise data standards, governance frameworks, and technology roadmaps.
Requirements
Required Qualifications
- Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field.
- 15+ years of experience in enterprise data architecture, data governance, and enterprise analytics.
- Strong experience designing enterprise data platforms, data lakes, data warehouses, and cloud-native data architectures.
- Hands-on knowledge of AI/ML platforms, MLOps frameworks, and enterprise AI architectures.
- Experience with enterprise integration technologies, APIs, event-driven architectures, and distributed data platforms.
- Strong understanding of data governance, metadata management, master data management, and data quality frameworks.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Knowledge of enterprise architecture frameworks such as TOGAF and architecture governance practices.
- Strong stakeholder management, communication, and leadership skills.
Preferred Certifications
- TOGAF Certification
- Microsoft Azure Solutions Architect Expert
- AWS Certified Solutions Architect – Professional
- Google Professional Cloud Architect
- DAMA Certified Data Management Professional (CDMP)
- Microsoft Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty