Manager – AI Solutions Development & Operations
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 Machine Learning or a related technical field
Experience
12 years with a bachelor’s degree 14 years with a master’s degree
Gender
Any
Description
Lead the development, deployment, and operational management of enterprise AI and data-science solutions. The role coordinates internal teams and external providers, manages the model lifecycle, and ensures secure, reliable production services. It combines technical delivery oversight with vendor management, operational readiness, user adoption, and continuous improvement so that AI investments provide measurable value.
Key Responsibilities
- Oversee the AI and data-science roadmap, use-case delivery, technical standards, and alignment with strategic priorities.
- Manage vendor selection, onboarding, technical evaluation, service expectations, and operational readiness.
- Lead the lifecycle of AI solutions from design and development through testing, deployment, updates, and retirement.
- Monitor vendor KPIs, service levels, milestones, operational risks, costs, and corrective actions.
- Coordinate secure deployment, release management, production handover, versioning, retraining, and incident response.
- Oversee UAT, user training, knowledge transfer, operational documentation, and support arrangements.
- Analyse model performance, data quality, drift, service costs, and user feedback to guide improvements.
Qualifications and Experience
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a closely related technical field.
- At least 12 years of experience with a bachelor’s degree or 14 years with a master’s degree.
- Demonstrated expertise in AI/ML solution lifecycle management, vendor governance, SLA management, MLOps, and AI governance is expected.
Skills and Competencies
AI and ML development, model lifecycle management, MLOps, vendor management, deployment governance, UAT, incident management, and benefit tracking.
Working Conditions
Office-based management role with regular collaboration across internal teams, business owners, vendors, and platform 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?
40 days left to apply
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