Senior Data & AI Architect: Enterprise AI & MLOps

Eram Talent; Dammam; On-site; SAR 420,000 - 640,000; Full time

Job summary

Eram Talent is seeking a Data and AI Architect to define and govern our enterprise data architecture, extending it to support AI, ML, and MLOps capabilities. The role ensures trusted, secure, and optimized data assets to enable advanced analytics and data-driven decision-making across the organization.

The ideal candidate has 15+ years in enterprise data architecture, hands-on experience with data lakes, data warehouses, cloud-native architectures, and familiarity with TOGAF governance

Qualifications

• Bachelor's degree in a related field.
• 15+ years of enterprise data architecture and governance experience.
• Proven ability to design enterprise-scale data platforms.
• Hands-on knowledge of AI/ML platforms and MLOps.
• Experience with cloud-native data architectures.
• Knowledge of TOGAF and governance practices.
• Strong stakeholder management and leadership.

Responsibilities

• Define and govern the organization's enterprise data architecture.
• Extend architecture to support AI, ML, and MLOps capabilities.
• Ensure data assets are trusted, governed, secure, and optimized.
• Enable advanced analytics, scalable AI solutions, and data-driven decision-making.
• Collaborate with stakeholders to drive data-driven decisions and roadmaps.
• Develop data standards, governance frameworks, and technology roadmaps.
• Oversee metadata management, master data management, and data quality.

Skills

Enterprise Data Architecture

Data Governance

Data Quality

Stakeholder Management

Leadership

Communication

Education

Bachelor's degree in Computer Engineering/Computer Science/Information Systems

Master's degree preferred

Tools

TOGAF

Azure/AWS/GCP

Data Warehousing

Data Lakes

MLOps frameworks

APIs & Event-driven architectures

Job description

Eram Talent is seeking a Data and AI Architect to define and govern our enterprise data architecture, extending it to support AI, ML, and MLOps capabilities. The role ensures trusted, secure, and optimized data assets to enable advanced analytics and data-driven decision-making across the organization.

The ideal candidate has 15+ years in enterprise data architecture, hands-on experience with data lakes, data warehouses, cloud-native architectures, and familiarity with TOGAF governance