Manager - | AI & Data | KSA - UAE

Location
Dubai, Riyadh

Manager – AI & Data

About Deloitte: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.

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Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.

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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