Senior Manager – Artificial Intelligence (AI Governance, Assurance & MLOps) | Mindtel Global | Dubai, UAE

Mindtel Global; Dubai; On-site; AED 1,300,000 - 1,900,000; Full time

Job summary

Mindtel Global in Dubai, UAE seeks a Senior Manager – Artificial Intelligence to lead enterprise AI initiatives, governance frameworks, and model assurance programs across the organization.

You will drive responsible AI practices, risk management, and AI strategy in collaboration with executive, cybersecurity, risk, legal, and business teams, shaping the AI transformation journey.

Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 7–10 years of experience in AI/ML/Analytics roles.
• Strong expertise in ML/DL and AI model development.
• Advanced programming skills in Python, Java, and/or C++.
• Hands-on experience with TensorFlow, PyTorch, and Keras.
• Experience with enterprise-scale AI solutions and governance.

Responsibilities

• Define and implement enterprise-wide AI governance and AI assurance frameworks.
• Lead design, validation, deployment, and monitoring of AI/ML solutions.
• Review AI systems for security, scalability, reliability, explainability, and production readiness.
• Establish Responsible AI practices and regulatory compliance.
• Develop standards for model validation, drift detection, bias monitoring, and performance management.
• Drive AI risk management aligned with governance objectives.
• Partner with leadership to define AI strategy and automation roadmaps.
• Support adoption of Agentic AI, Generative AI, and intelligent automation.

Skills

AI governance

MLOps

Cloud platforms

Python/Java/C++

TensorFlow/PyTorch/Keras

Azure ML/Azure AI Foundry

Big data (Hadoop/Spark)

CI/CD & Agile

Stakeholder management

Leadership

Education

Bachelor’s or Master’s Degree in CS/AI/DS/Engineering

Tools

TensorFlow

PyTorch

Keras

Azure ML / Azure AI Foundry

Hadoop

Apache Spark

Job description

Job Title: Senior Manager – Artificial Intelligence (AI Governance, Assurance & MLOps) | Mindtel Global | Dubai, UAE

Recruiting Company: Mindtel Global

Job Location: Dubai, United Arab Emirates

Job Type: Full-Time

Position Summary

Mindtel Global is seeking a Senior Manager – Artificial Intelligence to lead enterprise AI initiatives, governance frameworks, model assurance programs, and AI-driven transformation strategies. This role is ideal for an experienced AI leader who can bridge advanced machine learning capabilities with governance, compliance, risk management, and business innovation across large-scale organizations.

Detailed Job Description

As the Senior Manager of Artificial Intelligence, you will be responsible for overseeing the development, validation, deployment, monitoring, and governance of AI solutions across the enterprise. You will establish AI assurance frameworks that ensure models are secure, robust, explainable, compliant, and production-ready. Working closely with executive leadership, cybersecurity, risk, legal, compliance, and business teams, you will help shape AI strategy while ensuring adherence to Responsible AI principles and regulatory requirements. The role requires deep technical expertise in machine learning, deep learning, MLOps, cloud AI platforms, and AI lifecycle management. This is a strategic leadership position offering the opportunity to influence next-generation AI, Agentic AI, automation, and enterprise transformation programs.

Key Responsibilities

• Define and implement enterprise-wide AI governance and AI assurance frameworks.
• Lead the design, development, validation, deployment, and monitoring of AI and machine learning solutions.
• Review AI systems for security, scalability, reliability, explainability, fairness, and production readiness.
• Establish Responsible AI practices and ensure compliance with regulatory, legal, and ethical requirements.
• Develop standards and controls for model validation, testing, drift detection, bias monitoring, and performance management.
• Drive AI risk management initiatives and ensure alignment with corporate governance objectives.
• Partner with executive leadership to define AI strategy, innovation roadmaps, and automation initiatives.
• Support enterprise adoption of Agentic AI, Generative AI, and intelligent automation platforms.
• Collaborate with Cybersecurity, Risk, Compliance, Audit, and Legal teams on AI governance programs.
• Oversee MLOps processes, model lifecycle management, and operational monitoring frameworks.
• Guide and mentor AI engineers, data scientists, and machine learning specialists.
• Promote AI best practices across software engineering, Agile delivery, and cloud-native environments.

Required Qualifications & Skills

• Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 7-10 years of experience in Artificial Intelligence, Machine Learning, Data Science, or advanced analytics roles.
• Strong expertise in Machine Learning, Deep Learning, Neural Networks, and AI model development.
• Advanced programming skills in Python, Java, and/or C++.
• Hands-on experience with TensorFlow, PyTorch, and Keras.
• Experience designing, deploying, and managing enterprise-scale AI solutions.
• Strong understanding of AI Assurance, AI Governance, Responsible AI, and AI Risk Management.
• Experience managing model validation, testing, monitoring, and lifecycle governance processes.
• Knowledge of bias detection, explainability, robustness testing, and model drift management.
• Hands-on experience with Azure AI, Azure Machine Learning, and Azure AI Foundry.
• Familiarity with AWS and Google Cloud Platform (GCP) AI ecosystems.
• Experience with big data technologies such as Hadoop and Apache Spark.
• Strong understanding of MLOps, CI/CD, software engineering, and Agile methodologies.
• Excellent stakeholder management, communication, and leadership skills.

Nice-to-Have Skills

• Experience implementing Generative AI and Large Language Model (LLM) solutions.
• Knowledge of Agentic AI frameworks and AI orchestration platforms.
• Experience with AI security, model security testing, and adversarial machine learning.
• Industry certifications in Azure AI, AWS Machine Learning, Google Professional ML Engineer, or similar.
• Experience developing AI governance frameworks for highly regulated industries such as banking, healthcare, telecommunications, or government sectors.

Recruitment Pro Tip

For senior AI leadership roles, employers look beyond model development experience. Highlight measurable achievements in AI Governance, Responsible AI, AI Assurance, MLOps, Model Risk Management, Agentic AI, AI Strategy, Enterprise AI Deployments, and Regulatory Compliance. Demonstrating how you improved model reliability, reduced AI risks, accelerated AI adoption, or established governance frameworks across large organizations will significantly increase your chances of being shortlisted.