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Assistant Manager/Manager - Technology Consulting - Data & AI - Riyadh

EY
Riyadh, KSA
Full-time
Mid-Senior
Onsite
Discovered 2 weeks ago
Data engineeringAnalyticsAI solution deliveryPythonSQLJava

Full Job Posting

The Opportunity

Help clients use data and artificial intelligence for digital transformation, better decision-making, and business value.

Collaborate with multidisciplinary teams on business challenges, scalable data architectures, analytics, and AI capabilities.

Key Responsibilities

  • Translate client business goals into data and AI solutions; design, build, and deploy scalable pipelines, architectures, and AI models.
  • Develop machine-learning models, NLP solutions, and predictive analytics use cases.
  • Integrate data from multiple sources while maintaining quality, consistency, and compliance with governance frameworks.
  • Use cloud technologies to architect and deploy data platforms and AI solutions.
  • Support data strategy and modernization, including migration, transformation, and visualization.
  • Collaborate across data science, engineering, and consulting teams to deliver end-to-end projects.
  • Apply emerging data engineering, AI, and generative AI trends to client outcomes.
  • Contribute to proposals, solution design, and team knowledge sharing.

Experience and Qualifications

  • Assistant Manager: 5–7 years of experience; Manager: 6–9 years.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Relevant experience in data engineering, analytics, or AI solution implementation.
  • Consulting-environment experience is preferred; large-scale digital or AI transformation experience is an advantage.

Skills and Attributes

  • Strong technical background in data engineering, analytics, or AI solution delivery.
  • Proficiency in Python, SQL, Java, or Scala.
  • Experience with Apache Spark, Databricks, Hadoop, or similar data processing and orchestration frameworks.
  • Familiarity with TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of data modeling, ETL, and data warehousing.
  • Hands-on experience with AWS, Azure, or Google Cloud.
  • Understanding of Power BI or Tableau and data storytelling.
  • Strong problem-solving, analytical, communication, collaboration, and stakeholder-management skills.

What We Offer

  • An environment for learning, growth, and leadership, with innovative teams, emerging technologies, and global clients.

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