Manager – Big Data & Platforms
Job role insights
Date posted
November 12, 2026
Hiring location
Dubai
Career level
Management
Qualification
Artificial Intelligence Bachelor’s or Master’s degree in Computer Science data science Information Technology or a related field
Experience
12+ years with a master’s degree 14+ years with a bachelor’s degree
Gender
Any
Description
Lead the design, operation, and continuous development of enterprise data platforms that support analytics, artificial intelligence, and organisational decision-making. The role oversees data lakes, warehouses, pipelines, metadata, access controls, and data quality. It ensures that data services are scalable, secure, resilient, and ready for AI development and operational use.
Key Responsibilities
- Govern enterprise data catalogues and registries, including data ownership, classification, access conditions, and approved use cases.
- Oversee the architecture and evolution of data lakes, warehouses, and AI/ML platforms to meet performance and resilience needs.
- Implement data governance, privacy, security, and quality controls aligned with applicable regulations and organisational policies.
- Lead data ingestion and transformation pipelines, APIs, data models, metadata structures, and scheduled data services.
- Provide validated datasets and dashboards for analytics, AI applications, model retraining, and operational decision support.
- Manage platform access, licensing, backup, disaster recovery, business continuity, and vendor support.
- Improve data accuracy, platform performance, partner data exchange, and adoption of emerging data technologies.
Qualifications and Experience
- Bachelor’s or master’s degree in Computer Science, Data Science, Information Technology, Artificial Intelligence, or a related technical field.
- At least 12 years of progressive experience for master’s degree holders or 14 years for bachelor’s degree holders.
- No mandatory certification was stated. Expertise in enterprise data platforms and data engineering technologies is essential.
Skills and Competencies
Hadoop, Spark, Databricks, cloud data platforms, data modelling, ETL/ELT, API development, metadata management, governance, and platform operations.
Working Conditions
Office-based technical leadership with regular coordination across data owners, AI teams, IT infrastructure, and external service providers.
Professional Expectations
Maintain accurate records, communicate clearly, identify issues early, and follow through on agreed actions.
Employment Details
This is a full time position with the Roads and Transport Authority in Dubai, United Arab Emirates. Salary: Not specified.
Skills
select-type
Full Time
Interested in this job?
33 days left to apply
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