Manager - Digital FAAS - Data & AI

Location:

Riyadh

Other locations:
Primary Location Only

In Financial Accounting & Advisory Services (FAAS) within Assurance, we assist our clients to address the accounting and financial reporting challenges facing their business. You will be part of a team that provides insight and services that accelerate analytics, decision‑making and innovation to build a stronger and more efficient finance function. You will experience ongoing professional development through diverse experiences, world‑class learning and individually tailored coaching.

That is how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities.

Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

This opportunity is within our Data & AI team, focusing on AI Engineering and Generative AI (GenAI) solutions.

As an AI Engineering Manager, you will lead multidisciplinary teams to deliver innovative, scalable AI solutions that support our clients’ financial and operational decision‑making. You will oversee the development and deployment of intelligent systems using modern AI tools, including large language models (LLMs), GenAI platforms, and cloud‑native services. Your leadership will ensure that AI‑driven solutions are designed responsibly and generate measurable value for our clients.

This role will be based in Riyadh and center of excellence in Jordan and Egypt, with remote support for MENA client engagements. Travel may be required based on project needs.

You will also play a key role in growing our AI offerings, mentoring junior professionals, and shaping strategic AI transformation initiatives in collaboration with Directors and Partners.

As a manager, you will be expected to lead the design, development, and deployment of AI and GenAI solutions across diverse industries while managing project teams delivering AI use cases, ensuring solutions meet business requirements, are production‑ready, and comply with governance standards. You will work with stakeholders to identify and prioritize high‑impact opportunities for AI implementation and collaborate with data engineers, architects, and business consultants to integrate AI models into broader enterprise ecosystems.

Moreover, you will be responsible for guiding the adoption of LLM and GenAI technologies (e.g., ChatGPT, Claude, Azure OpenAI, Hugging Face), driving innovation in areas such as financial document analysis, reporting automation, and virtual assistants, and ensure AI solutions are scalable, ethical, explainable and aligned with clients’ compliance needs.

You shall provide support for proposal development and business development initiatives across MENA and stay current with evolving AI trends, frameworks, and tools, helping shape EY’s AI capabilities and offerings.

• Proven ability to lead technical teams and deliver complex AI‑enabled projects
• Excellent communication skills and ability to work across business and technical domains
• Entrepreneurial mindset and willingness to drive innovation in ambiguous environments
• Passion for emerging technologies, experimentation, and continuous learning
• Strong organizational and project management skills

• A bachelor's degree in a relevant field (e.g., Computer Science, Engineering, Data Science, or related)
• Solid hands‑on experience building and deploying AI/ML solutions using Python and frameworks like Tensor Flow, PyTorch, Scikit‑learn
• Familiarity with GenAI tools such as OpenAI, Lang Chain, Hugging Face Transformers, or enterprise GenAI platforms (e.g., Azure OpenAI, Google Vertex AI, AWS Bedrock)
• Practical experience integrating LLMs and GenAI into workflows such as document summarization, search, code generation, or chatbots
• Proficiency in cloud platforms (Azure, AWS, GCP) for deploying ML solutions
• Experience managing the full AI lifecycle: data prep, model training,…