Senior Manager – Artificial Intelligence (AI Governance & Assurance) | Consult STM | Dubai, UAE

Consult STM

Dubai

On-site

AED 350,000 - 520,000

Full time

14 days+
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Job summary

Consult STM is seeking aSenior Manager – Artificial Intelligence to lead enterprise AI governance, assurance programs, and responsible AI initiatives in a fast-evolving technology environment.

You will shape governance across model lifecycle, collaborate with business leaders, data scientists, risk, and technology stakeholders to ensure ethical, secure, and compliant AI solutions.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related technical field.
  • 7–10 years in technology-driven environments.
  • 5–7 years in AI/ML or Data Science roles.
  • Proven experience designing and leading AI Governance and AI Assurance programs.
  • Strong expertise in Responsible AI, AI Ethics, AI Risk Management, and Regulatory Compliance.
  • Hands-on experience deploying production-grade AI/ML models.
  • Knowledge of ML/DL techniques: neural networks, reinforcement learning.
  • Proficiency in Python; practical experience with Java or C++.
  • Experience with Azure AI platforms and related technologies.
  • Experience validating, assuring, monitoring, and governing AI models.
  • Understanding of model explainability, bias detection, and fairness.

Responsibilities

  • Lead enterprise AI strategies, governance frameworks, and assurance programs.
  • Establish Responsible AI policies and best practices across the organization.
  • Oversee AI model lifecycle: development, validation, deployment, monitoring, retirement.
  • Design and implement AI assurance frameworks for ethics, compliance, and risk.
  • Develop, train, deploy, and optimize enterprise AI models.
  • Evaluate AI systems for accuracy, bias, robustness, security, and production readiness.
  • Monitor model performance and manage drift and operational risks.
  • Collaborate with legal, risk, compliance, and business teams for regulatory alignment.
  • Lead technical reviews and validation of AI/ML solutions.
  • Drive adoption of Azure AI platforms to accelerate initiatives.
  • Provide leadership and mentorship to AI/ML/data science teams.
  • Stay updated on evolving AI regulations and industry practices.

Skills

AI Governance
AI Assurance
Responsible AI
AI Ethics
Regulatory Compliance
Python
Azure AI
TensorFlow
Leadership
Stakeholder Mgmt

Education

Bachelor's Degree in CS/Engineering/AI

Tools

Azure ML
Keras
PyTorch
TensorFlow
Azure AI Foundry

Job description

Job Title: Senior Manager – Artificial Intelligence (AI Governance & Assurance) | Consult STM | Dubai, UAE

Recruiting Company: Consult STM

Job Location: Dubai, United Arab Emirates

Job Type: Full-Time

Joining Preference: Immediate Joiners or Candidates with Short Notice Periods Preferred

Experience Required: 7-10 Years Overall Experience

Education: Bachelor’s Degree or Higher in Computer Science, Engineering, or a Related Technical Discipline

Industry: Technology, Artificial Intelligence, Data Science & Digital Transformation

Position Summary

Consult STM is seeking a highly experienced Senior Manager – Artificial Intelligence to lead enterprise AI initiatives, governance frameworks, and AI assurance programs within a rapidly evolving technology environment. This strategic leadership role combines advanced AI/ML expertise with Responsible AI governance, ensuring that innovative AI solutions are developed, deployed, and managed in a secure, compliant, ethical, and scalable manner.

Detailed Job Description

As the Senior Manager – Artificial Intelligence, you will lead the design, governance, assurance, and operationalization of AI solutions across the organization. The role requires a unique blend of technical depth and strategic oversight, encompassing AI model development, deployment, validation, monitoring, and governance throughout the model lifecycle. You will work closely with business leaders, data scientists, engineers, risk teams, and technology stakeholders to ensure AI systems meet enterprise standards for fairness, transparency, robustness, security, and regulatory compliance. The successful candidate will have extensive experience with modern machine learning frameworks, Azure AI technologies, and AI governance practices. This is an exceptional opportunity for an AI leader who is passionate about driving innovation while maintaining the highest standards of responsible and trustworthy AI.

Key Responsibilities
  • Lead the development and execution of enterprise AI strategies, governance frameworks, and assurance programs.
  • Establish and manage Responsible AI policies, standards, and best practices across the organization.
  • Oversee AI model lifecycle management, including development, validation, deployment, monitoring, and retirement.
  • Design and implement AI assurance frameworks covering ethics, compliance, fairness, explainability, accountability, and risk management.
  • Develop, train, deploy, and optimize machine learning and deep learning models for enterprise applications.
  • Evaluate AI systems for accuracy, bias, robustness, security, scalability, and production readiness.
  • Monitor model performance and implement controls to detect model drift and operational risks.
  • Collaborate with technology, legal, compliance, risk, and business teams to ensure regulatory alignment.
  • Lead technical reviews and validation processes for AI and machine learning solutions.
  • Drive adoption of Azure AI platforms and services to accelerate enterprise AI initiatives.
  • Provide leadership, mentorship, and subject matter expertise to AI, machine learning, and data science teams.
  • Stay current with evolving AI regulations, emerging technologies, and industry best practices.
Required Qualifications & Skills
  • Bachelor’s degree or higher in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical field.
  • 7-10 years of overall professional experience within technology-driven environments.
  • 5-7 years of direct experience in Artificial Intelligence, Machine Learning, or Data Science roles.
  • Proven experience designing and leading AI Governance and AI Assurance programs.
  • Strong expertise in Responsible AI, AI Ethics, AI Risk Management, and Regulatory Compliance.
  • Hands‑on experience developing and deploying production‑grade AI and Machine Learning models.
  • Advanced knowledge of Machine Learning, Deep Learning, Neural Networks, and Reinforcement Learning techniques.
  • Strong proficiency with TensorFlow, PyTorch, Keras, or comparable AI/ML frameworks.
  • Expert programming skills in Python and practical experience with Java or C++.
  • Strong data analysis and manipulation expertise using NumPy and Pandas.
  • Hands‑on experience with Azure AI Foundry, Azure Machine Learning, Citadel, and related Azure AI technologies.
  • Proven expertise in AI model validation, assurance, monitoring, and governance frameworks.
  • Strong understanding of model explainability, bias detection, fairness assessment, and AI transparency.
  • Experience evaluating model robustness, resilience, security, and operational performance.
  • Excellent leadership, stakeholder management, communication, and strategic decision‑making skills.
Nice-to-Have Skills
  • Master’s degree or PhD in Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Experience with Generative AI, Large Language Models (LLMs), and AI Agent architectures.
  • Knowledge of AI security, adversarial machine learning, and model protection techniques.
  • Experience implementing MLOps, CI/CD pipelines, and automated model lifecycle management.
  • Familiarity with international AI regulations and governance standards.
Recruitment Pro Tip

For senior AI leadership roles, employers look beyond technical expertise. Demonstrate measurable business outcomes from AI initiatives you have led, including governance frameworks implemented, AI risk controls established, production models deployed, regulatory compliance achievements, and quantifiable improvements delivered through AI-driven transformation programs.

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