
EY
Manager - Digital FAAS - Data & AI
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 10 - 15 yrs
Job expiry date: 04/12/2025
Job overview
Date posted
20/10/2025
Location
Abu Dhabi, United Arab Emirates
Salary
Undisclosed
Compensation
Comprehensive package
Experience
10 - 15 yrs
Seniority
Manager
Qualification
Bachelors degree
Expiration date
04/12/2025
Job description
The Manager - Digital FAAS - Data & AI role at EY is focused on leading multidisciplinary teams to deliver innovative and scalable AI solutions across the Middle East and North Africa, with an emphasis on AI Engineering and Generative AI (GenAI). Operating within Financial Accounting & Advisory Services (FAAS), the role helps clients address accounting and reporting challenges through advanced analytics, automation, and intelligent systems. The position involves developing and deploying AI/ML systems using modern tools such as Python, TensorFlow, PyTorch, Scikit-learn, and cloud-native services across Azure, AWS, and GCP. It includes guiding adoption of large language models (LLMs) and GenAI platforms like ChatGPT, Claude, Azure OpenAI, HuggingFace, and LangChain to support use cases including financial document analysis, reporting automation, virtual assistants, and code generation. The manager ensures that AI-driven solutions are scalable, ethical, explainable, and compliant with governance standards. Key responsibilities also include overseeing full AI lifecyclesâdata preparation, model training, validation, MLOps, and post-deployment monitoringâwhile mentoring junior professionals and supporting proposal development and business growth initiatives. The position also calls for staying current with AI trends and contributing to EYâs AI transformation capabilities. Candidates are expected to have strong technical and project management expertise, the ability to lead diverse teams, familiarity with data architecture models (data mesh, data fabric), consulting or in-house transformation experience, and deep understanding of responsible AI practices.
Required skills
Key responsibilities
- Lead the design, development, and deployment of AI and Generative AI solutions across diverse industries.
- Manage multidisciplinary project teams delivering AI use cases that meet business requirements and comply with governance standards.
- Collaborate with data engineers, architects, and consultants to integrate AI models into enterprise ecosystems.
- Guide the adoption of LLM and GenAI technologies such as ChatGPT, Claude, Azure OpenAI, HuggingFace, and LangChain.
- Drive innovation in financial document analysis, reporting automation, and AI-powered virtual assistants.
- Ensure AI solutions are scalable, ethical, explainable, and aligned with client compliance frameworks.
- Oversee the full AI lifecycle, including data preparation, model training, validation, MLOps, and post-deployment monitoring.
- Support proposal development and business development initiatives across the MENA region.
- Mentor junior professionals and contribute to EYâs strategic AI transformation initiatives.
- Stay current with evolving AI tools, frameworks, and regulations to enhance EYâs Data & AI capabilities.
Experience & skills
- Hold a bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- Possess solid hands-on managerial experience in building and deploying AI/ML solutions using Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Demonstrate familiarity with Generative AI tools including OpenAI, LangChain, HuggingFace Transformers, Azure OpenAI, Google Vertex AI, and AWS Bedrock.
- Show practical experience integrating LLMs and GenAI into workflows like document summarization, search, code generation, or chatbots.
- Exhibit proficiency with cloud platforms (Azure, AWS, GCP) for machine learning solution deployment.
- Experience in managing the full AI lifecycle from data prep through post-deployment monitoring.
- Strong understanding of ethical AI, data privacy, and responsible AI practices.
- Flexibility to travel across MENA as required.
- Consulting experience with a top-tier firm or equivalent in-house digital strategy background is preferred.
- Domain knowledge in Government, Healthcare, Financial Services, Telecom, or Retail is advantageous.
- Experience with data architecture models such as data mesh or data fabric is desirable.
- Proficiency in Arabic is an asset.