Deloitte

Manager - Senior Manager | AI & Data | Riyadh, Saudi Arabia

Deloitte

Riyadh, Riyadh Province, Saudi Arabia · Full Time

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Experience
9–14 yrs
Salary
—
Openings
1
Posted
1 week ago
Work mode
In office
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Job description

About Deloitte

Deloitte stands as one of the world’s largest and most prestigious professional services firms, recognized for multiple accolades including Best Employer and Best Consulting Firm in the Middle East. We are committed to delivering impactful solutions to clients while fostering a collaborative and inclusive workplace culture that supports societal contribution and market integrity.

Role Overview

The Senior Manager for AI & Data is responsible for leading the end-to-end design and execution of complex AI and Generative AI solutions across various sectors. The role demands a blend of technical and functional expertise with hands-on capabilities in architecture, AI product development, and full lifecycle delivery—from initial problem definition through deployment and realization of business value.

Key Responsibilities

  • Lead comprehensive AI/GenAI solution design, including applications built on large language models such as copilots, document intelligence platforms, and chatbots.
  • Create architectures for predictive/prescriptive analytics and recommendation engines.
  • Translate business challenges into actionable AI architectures addressing data ingestion, model evaluation, API integrations, and performance and security requirements.
  • Direct AI product strategy and roadmaps with use case prioritization, MVP development, success metrics definition, and application adoption tracking.
  • Advise on model, platform, and accelerator strategies, including build, buy, or partner decisions to ensure production-ready AI deployments instead of proof-of-concept solutions.
  • Oversee the complete AI project lifecycle covering discovery, feasibility analysis, data readiness assessment, model development, deployment, and iterative optimization.
  • Establish best practices for model lifecycle management, testing, quality assurance, monitoring, and retraining.
  • Collaborate closely with client technology teams to facilitate smooth solution handover and sustainable operations, including change management guidance.
  • Proactively identify project risks and dependencies and communicate concerns during implementation.
  • Engage directly with clients to clarify technical trade-offs and design decisions in understandable business terms.
  • Act as the leading technical expert for AI projects, reviewing design and delivery outputs for quality assurance.
  • Mentor data scientists, ML engineers, and architects to elevate team capabilities whenever applicable.
  • Architect AI solutions on major cloud platforms including Azure (Azure AI Services, Azure OpenAI, Azure ML), AWS (Sagemaker, Bedrock), and GCP (Vertex AI) where relevant.
  • Ensure solutions align with enterprise security and architectural standards, incorporating Middle East data sovereignty regulations.

Required Experience and Skills

  • 9 to 14+ years of professional experience in data, analytics, or AI roles with direct delivery responsibilities.
  • Comprehensive knowledge of machine learning principles, generative AI, and large language model architectures.
  • Strong understanding of data engineering necessary to support AI workloads.
  • Demonstrated success in deploying scalable, production-grade AI solutions beyond proofs of concept.
  • Hands-on exposure to LLM orchestration frameworks, prompt engineering, and retrieval-augmented generation methods.
  • Expertise in evaluating AI models for performance, bias, and robustness, alongside practical experience with AI governance, risk management, and ethical AI principles.
  • Experience in client-facing roles, balancing technical rigor with commercial and project delivery demands.
  • Excellent communication skills targeting both technical teams and business stakeholders.
  • Preferred experience with at least one major cloud platform and the ability to design secure, scalable AI architectures.
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