Manager - Senior Manager – AI & DataAbout 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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The Senior 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.
AI / GenAI Solutioning & Architecture
AI Product & Use Case Development
End‑to‑End AI Delivery (with support of your delivery team):* Lead full AI project lifecycle: + Discovery and feasibility + Data readiness assessment + Model development and validation + Deployment, monitoring, and iteration
Operational monitoring and retraining
Work closely with client technology teams to enable handover and long‑term operability. Guide teams for change management
Client & Team Leadership
Cloud & Platform Implementation* Architect and solution problem statements on cloud platforms, primarily: + Azure (Azure AI Services, Azure OpenAI, Azure ML) + AWS (Sagemaker, Bedrock) – where client context required + GCP (Vertex AI) – where relevant + This would require to think from an AI product development and deployment perspective rather than POCs for a/b tests
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
AI & GenAI Capabilities* Exposure to: + LLM orchestration frameworks + Prompt engineering and retrieval‑augmented generation (RAG) + Model evaluation, bias, and performance considerations
Consulting & Leadership
Cloud & Engineering (desirable)
