Data & AI Solutions Lead

EY; Riyadh; On-site; SAR 200,000 - 340,000; Full time

Job summary

EY seeks a data & AI solutions professional to design and implement scalable data architectures and AI models across industries. You will partner with multidisciplinary teams, develop pipelines, and leverage cloud platforms to enable clients to transform decisions with advanced analytics.

The role emphasizes collaboration with data scientists, engineers, and business consultants, with global exposure and ongoing learning in AI trends and governance.

Qualifications

• Bachelor’s or Master’s degree in CS, DS, Eng or related field.
• Experience delivering AI/analytics solutions in a consulting environment is preferred.
• Experience on large-scale digital or AI transformation programs is an advantage.

Responsibilities

• Collaborate with clients to translate business goals into data/AI solutions.
• Design, build, deploy scalable data pipelines, architectures, and AI models.
• Develop ML/NLP/AI use cases and predictive analytics implementations.
• Integrate data from multiple sources; ensure quality and governance compliance.
• Utilize cloud platforms (AWS, Azure, GCP) to deploy data platforms and AI solutions.
• Support data strategy, migration, transformation, and visualization initiatives.
• Work with data scientists, engineers, and consultants to deliver end-to-end projects.
• Stay updated on data engineering, AI, and generative AI trends and apply them.

Skills

Data engineering

Analytics

AI solution delivery

Python

SQL

Java

Scala

Apache Spark

Databricks

Hadoop

TensorFlow

PyTorch

Scikit-learn

Data modeling

ETL

Data warehousing

Cloud platforms

Power BI

Tableau

Communication

Team collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

Databricks

Hadoop

Power BI

Job description

EY seeks a data & AI solutions professional to design and implement scalable data architectures and AI models across industries. You will partner with multidisciplinary teams, develop pipelines, and leverage cloud platforms to enable clients to transform decisions with advanced analytics.

The role emphasizes collaboration with data scientists, engineers, and business consultants, with global exposure and ongoing learning in AI trends and governance.