SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free)

Discovered MENA

London

10 months ago

Applications closed

SVP/Senior Director of Data Science – AI & LLM Innovation

Location: United Arab Emirates (UAE) | On-Site

International applicants welcome – full relocation package available.

Lead AI Innovation with LLMs & Generative AI

A leading UAE financial institution is expanding its AI capabilities with a dedicated AI & Data Science team focused on deployingLLMs, RAG, and Generative AIat scale. With several AI products already in production and a roadmap to launch 10+ AI-driven solutions in 2025, this role blends the resources of a major enterprise with the agility of an innovation hub.

We seek aSVPof Data Scienceto lead the development of cutting-edge AI solutions, drive innovation inLLMs and GenAI, and oversee the full lifecycle of AI-driven products. This is a strategic role, requiring hands-on leadership inbuilding, scaling, and deploying AI models that deliver real business impact.

Key Responsibilities

Lead AI innovationwith a focus onLLMs, Generative AI, and RAGfor real-world applications.
Drive end-to-end development and deployment of AI modelsfrom ideation to production.
Build and scale an elite data science team, fostering a high-performance culture.
Develop and implement AI strategiesthat transform business operations and customer experiences.
Work cross-functionally to embed AI into core products and services.
Stay ahead of advancements inLLMs, GenAI, and retrieval-augmented generationto ensure cutting-edge solutions.
DefineAI governance, scalability, and commercializationstrategies for sustainable impact.

Your Profile

12+ years of data science & AI experience, with5+ years leading AI-driven product development.
Proven track record inbuilding and deploying LLMs, RAG, and GenAI-powered solutions.
Strong hands-on experience inNLP, ML, deep learning, and AI architecture.
Leadership in managingAI researchers, ML engineers, and data science teams.
Experience drivingAI adoption and commercializationin large organizations.
Background infinancial services, fintech, or AI-driven enterprisespreferred.
Degree inCS, AI, Data Science, or related field(advanced degree preferred).

This is a career-defining opportunity to lead AI-driven transformation in one of the Middle East’s top financial institutions.

Apply now to be considered—this is an ON-SITE role and requires relocation.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 8, 2026

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Mar 24, 2026

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.