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- Tasks: Lead AI innovation and develop cutting-edge solutions in LLMs and Generative AI.
- Company: Join a leading UAE financial institution expanding its AI capabilities.
- Benefits: Enjoy a full relocation package and tax-free income in the UAE.
- Why this job: Be at the forefront of AI transformation in a dynamic, innovative environment.
- Qualifications: 12+ years in data science with strong leadership in AI product development required.
- Other info: This is an ON-SITE role, perfect for those ready for an exciting international adventure.
The predicted salary is between 72000 - 108000 £ per year.
A leading UAE financial institution is expanding its AI capabilities with a dedicated AI & Data Science team focused on deploying LLMs, RAG, and Generative AI at 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 a SVP of Data Science to lead the development of cutting-edge AI solutions, drive innovation in LLMs and GenAI, and oversee the full lifecycle of AI-driven products. This is a strategic role, requiring hands-on leadership in building, scaling, and deploying AI models that deliver real business impact.
Key Responsibilities- Lead AI innovation with a focus on LLMs, Generative AI, and RAG for real-world applications.
- Drive end-to-end development and deployment of AI models from ideation to production.
- Build and scale an elite data science team, fostering a high-performance culture.
- Develop and implement AI strategies that transform business operations and customer experiences.
- Work cross-functionally to embed AI into core products and services.
- Stay ahead of advancements in LLMs, GenAI, and retrieval-augmented generation to ensure cutting-edge solutions.
- Define AI governance, scalability, and commercialization strategies for sustainable impact.
- 12+ years of data science & AI experience, with 5+ years leading AI-driven product development.
- Proven track record in building and deploying LLMs, RAG, and GenAI-powered solutions.
- Strong hands-on experience in NLP, ML, deep learning, and AI architecture.
- Leadership in managing AI researchers, ML engineers, and data science teams.
- Experience driving AI adoption and commercialization in large organizations.
- Background in financial services, fintech, or AI-driven enterprises preferred.
- Degree in CS, 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.
SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free) employer: Discovered MENA
Contact Detail:
Discovered MENA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free)
✨Tip Number 1
Network with professionals in the AI and data science fields, especially those who have experience in financial services or fintech. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends in LLMs and Generative AI.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you successfully built and scaled data science teams. Highlight specific projects where you drove innovation and delivered impactful AI solutions, as this will resonate with the hiring team.
✨Tip Number 3
Familiarise yourself with the specific AI products and solutions currently being developed by the institution. Understanding their existing technology stack and future roadmap will allow you to tailor your discussions around how you can contribute to their goals.
✨Tip Number 4
Prepare to discuss your vision for AI governance and commercialization strategies. Being able to articulate how you would approach these areas will demonstrate your strategic thinking and alignment with the role's responsibilities.
We think you need these skills to ace SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 12+ years of data science and AI experience, especially focusing on your leadership roles in AI-driven product development. Use specific examples of LLMs, RAG, and Generative AI projects you've led.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI innovation and how your background aligns with the company's goals. Mention your experience in building and scaling data science teams and your strategic vision for AI in financial services.
Showcase Relevant Projects: Include a section in your application that details specific projects where you have successfully deployed AI models. Highlight the impact these projects had on business operations and customer experiences.
Highlight Leadership Skills: Emphasise your leadership experience in managing AI researchers and ML engineers. Provide examples of how you've fostered a high-performance culture within your teams and driven AI adoption in large organisations.
How to prepare for a job interview at Discovered MENA
✨Showcase Your Leadership Experience
As a candidate for the SVP/Senior Director role, it's crucial to highlight your leadership experience in data science and AI. Prepare specific examples of how you've built and scaled teams, driven innovation, and led successful AI projects in previous roles.
✨Demonstrate Technical Expertise
Be ready to discuss your hands-on experience with LLMs, Generative AI, and RAG. Familiarise yourself with the latest advancements in these areas and be prepared to explain how you have applied them in real-world scenarios.
✨Understand the Business Impact
This role requires a strategic mindset. Be prepared to articulate how your AI initiatives have transformed business operations or customer experiences in your past roles. Use metrics and outcomes to illustrate your points.
✨Cultural Fit and Team Dynamics
Since you'll be building an elite data science team, it's important to convey your understanding of fostering a high-performance culture. Discuss your approach to team dynamics, collaboration, and how you encourage innovation within your teams.
