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Assistant Manager - Digital FAAS - Data & AI

Unlock employer Abu Dhabi, United Arab Emirates Posted: 18 Aug 2025

Financial

  • Estimate: $60k - $80k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Junior
  • English: Professional
  • Arabic: Preferred

Position

In the Financial Accounting & Advisory Services (FAAS) within Assurance, you will assist clients in addressing accounting and financial reporting challenges. You’ll be part of a team that provides insights and services to enhance analytics, decision-making, and innovation within the finance function. This role is particularly focused on AI Engineering and Generative AI (GenAI), helping businesses unlock value through designing, building, and operationalizing scalable AI solutions.

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As a member of the Data & AI team, you will integrate large language models (LLMs), automate workflows with GenAI, and embed AI capabilities into business processes. Collaborating with data scientists, engineers, and business leaders will be essential to ensure that AI-driven solutions align with strategic goals and create tangible business impact.

You will manage up to two projects, aiding clients in defining an AI-driven FAAS strategy that addresses risks and maximizes value from emerging technologies. Your responsibilities include ensuring timely delivery in compliance with regulatory requirements, effective execution of the FAAS service delivery framework, and monitoring team performance against the budget.

Key Responsibilities:

  • Help clients realize business value through AI use-cases including LLMs, GenAI applications, and MLOps implementation.
  • Evaluate and monitor emerging AI trends and innovative AI/GenAI tools.
  • Support go-to-market efforts and manage client engagements.

Qualifications:

  • Bachelor's degree with approximately 4 to 5 years of related work experience.
  • At least 5+ years of experience in a global consulting firm.
  • Practical experience in AI and ML development (Python, TensorFlow, PyTorch, cloud platforms: Azure, AWS, GCP).
  • Experience with building and fine-tuning LLMs and MLOps pipelines.
  • Domain knowledge in Government, Healthcare, Financial Services, Retail, Telecom.
  • Knowledge of data privacy and ethical AI principles.

Language Requirement: Proficiency in Arabic is preferred.

What We Offer:

  • Competitive compensation based on performance.
  • Continuous learning and development opportunities.
  • Diverse and inclusive culture that values each individual’s voice.

If you meet the qualifications, please apply.

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