Manager - Digital FAAS - Data & AI

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.

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

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

Your key responsibilities

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. Also, you will collaborate with data engineers, architects, and business consultants to integrate AI models into broader enterprise ecosystems.

Moreover, you will be responsible to guide the adoption of LLM and GenAI technologies (e.g., ChatGPT, Claude, Azure OpenAI, HuggingFace), 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 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.

Skills and attributes for success

• 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