Manager - | AI & Data | KSA - UAE

Manager – AI & Data

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1. Role Summary

The Manager – AI & Data will lead the design and delivery of complex AI and GenAI solutions for clients across public and private sectors. The role is techno‑functional, requiring strong hands‑on capability in solution architecture, AI product design, and end‑to‑end delivery of AI initiatives—from problem framing through production deployment and value realization.

This role is accountable for solution quality, technical design decisions, and delivery outcomes, and it is not just limited to advisory and oversight.

2. Key Responsibilities

• • Enterprise Applications Management
  • Security Groups Maintenance
  • Subscription management
  • Cloud and Networking Architecture design, implementation, management
  • DevOps
  • Fortify and SNYK launch
  • BRD, FCD and TRD definition
  • GTOM documentation update
  • 10 developers daily tasks set up at code functions level
  • Code QA and pull requests approval.
  • React, python, fastapi, docker code issues remediation
  • UAT design and perform

3. Required Experience & Skills

Technical & Functional Expertise

• 9 –14+ years of experience in data, analytics, or AI roles with direct delivery accountability
• Strong understanding of:
• • Machine learning fundamentals and applied AI
  • Generative AI and LLM architectures
  • Data engineering concepts supporting AI workloads
• Proven experience delivering production‑grade AI solutions, not just prototypes and POCs

AI & GenAI Capabilities

• Exposure to:
• • LLM orchestration frameworks
  • Prompt engineering and retrieval‑augmented generation (RAG)
  • Model evaluation, bias, and performance considerations
• Practical understanding of AI governance, model risk, and responsible AI considerations

Consulting & Leadership

• Experience working in client‑facing environments
• Ability to balance technical depth with commercial and delivery constraints
• Strong communication skills for technical and non‑technical audiences

Cloud & Engineering (desirable)

• Experience and exposure to at least one Hyperscaler
• Ability to design scalable, secure AI architectures