Graduate Trainee – AI/ML, Data Governance & Integration
Listed on 2026-09-01
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IT/Tech
Data Engineering, Data Analyst, AI Engineer (Applied/Software)
Job Title – Graduate Trainee – AI/ML, Data Governance & Integration Company – TCS (MEA) Location – Jubail, KSA Job type – Full time
About Us:
Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile delivery model, recognized as a benchmark of excellence in software development.
A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit and follow TCS news at @.
Job Description:Objective:
To develop future-ready Saudi talent in Artificial Intelligence, Machine Learning, Data Governance, Informatica Intelligent Data Management Cloud (IDMC), Enterprise Integration, and Modern Data Platforms.
Program Goal:Build skilled professionals capable of supporting enterprise AI, analytics, data quality, metadata management, API integration, cloud data engineering, and digital trans.
AI & Machine Learning:Assist in developing AI/ML models, data preparation, feature engineering, model evaluation, and AI use-case implementation.
Data Governance:Support data quality monitoring, business glossary creation, metadata management, data cataloging, stewardship activities, and data lineage documentation.
Informatica Platform:Assist in Informatica IDMC, Data Quality (DQ), Data Catalog, Metadata Management, Data Governance, and Data Integration activities. Integration Layer Participate in API development, ETL/ELT processes, data migration, system integrations, and orchestration workflows.
Data Engineering:Support data ingestion, transformation, validation, analytics, and reporting initiatives.
Analytics & Reporting:Develop dashboards, reports, and KPIs using modern analytics tools.
Data Quality:Analyze data issues, create quality rules, monitor anomalies, and support remediation activities.
Documentation:Prepare process documents, technical specifications, architecture diagrams, and SOPs.
Innovation:Participate in AI/GenAI hackathons, POCs, innovation programs, and automation initiatives.
Collaboration:Work with business users, architects, data scientists, governance teams, and integration specialists.
Final date to receive applications: 30-September-2026 PrivacyNote:#J-18808-Ljbffr
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