Assistant Manager/Manager - Technology Consulting - Data & AI - Riyadh
Role Overview
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 Skills for This Role
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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