Engineering Manager AI & Data

About the Role

Cenomi Centers is seeking an Engineering Manager AI & Data to join their team in Riyadh, Saudi Arabia. This full-time role involves leading the design, development, and operation of enterprise AI, analytics, and data engineering platforms. The manager will ensure the secure, scalable, and compliant delivery of AI, machine learning, and data solutions.

Key Responsibilities

• Lead end-to-end delivery of AI/ML and data platforms, covering architecture, engineering, operations, and continuous improvement.
• Own data and AI reference architecture and engineering standards across Azure and Google Cloud (GCP).
• Lead lakehouse and data platform delivery utilizing Databricks, Delta Lake, and enterprise data lake patterns.
• Design and govern enterprise data pipelines, including data ingestion, ETL/ELT, batch/stream processing, and orchestration.
• Define and enforce data modeling standards (dimensional, Data Vault, and medallion/layered approaches) to enable trusted analytics.
• Establish and manage MLOps/LLMOps practices, including model lifecycle management, CI/CD, monitoring, evaluation, and guardrails.
• Deliver LLM-enabled solutions, such as RAG patterns, tool/function calling, agentic architectures, and data agents for automation.
• Oversee the use of Azure AI Foundry and Google Vertex AI for model development, deployment, and governed experimentation.
• Enable enterprise BI and self-service analytics through Power BI, including semantic models, DAX standards, and governance.
• Establish enterprise semantic layer and ontology standards (business glossary/metrics definitions) to ensure consistent reporting and AI understanding.
• Ensure strong data governance, security, and PDPL compliance across platforms and products.
• Implement governed access, lineage, and data sharing using Unity Catalog (or equivalent) aligned with PDPL controls.
• Manage and coach data engineering and ML engineering teams, setting objectives, building capability, and driving delivery excellence.
• Manage vendors, partners, and cloud providers, controlling cost, performance, and SLAs.

Experience and Qualifications

Candidates for this role should possess 5-10 years of relevant experience in engineering management within AI and data domains. The position requires a strong background in leading technical teams and managing complex data and AI initiatives.

Location and Work Type

This is a full-time position based in Riyadh, Saudi Arabia. The role involves working within Cenomi Centers' dynamic environment, contributing to the advancement of their AI and data capabilities.