Engineering Manager AI & Data

About the Role

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.