Senior Manager - Artificial Intelligence

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Job Description

A: Job / Position Information

Job Title (Position Name)	Senior Manager - Artificial Intelligence
Job Title (Upward reporting relationship)	Head - Data & AI
Group	Technology & Infrastructure
Department	Technology
Unit	Technology
Proposed Grade	DA - 6

B: Job Purpose

Responsible for designing, developing, and implementing cutting-edge AI solutions to solve complex business problems. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to drive innovation and deliver AI-driven products and services.

C: Key Financial Dimensions and Span of Control

Direct Reports	None
BaU Budget (applicable only for DA1 - DA7)	Non Quantifiable
Indirect Reports	None
Budget Impact	Not applicable

D: Minimum Qualifications / Experience

Qualifications:	Bachelor’s Degree
Specialization:	Bachelor's degree or higher in Computer Science, Engineering, or a related field.
Professional/Regulatory/Certification Requirements:	Click or tap here to enter text.
Overall Experience (Years):	7 - 10 Years
Relevant Experience (Years):	5 - 7 Years
Industry Experience:	Technology
Core Activities Experience:	Artificial Intelligence and Data Science

Skills, Tools and Systems Experience:

• Solid experience in developing and implementing AI models and algorithms using frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in languages such as Python, Java, or C++, with the ability to write clean, efficient, and maintainable code.
• Deep understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep neural networks, and reinforcement learning.
• Proficiency in data manipulation, analysis, and visualization using libraries such as NumPy, Pandas, and Matplotlib.
• Knowledge of cloud platforms and services, such as AWS, Azure, or Google Cloud, for building and deploying AI solutions.
• Experience with Azure AI cloud platforms and services, such as AI Foundry, Citadel, Azure ML, and other AI apps for building and deploying AI solutions.
• Familiarity with big data technologies, such as Hadoop and Spark, for processing and analyzing large-scale datasets.
• Knowledge of software engineering best practices, including version control, unit testing, and agile methodologies.
• Excellent problem-solving and analytical skills, with the ability to break down complex problems and propose innovative solutions.
• Strong communication skills to effectively collaborate with cross-functional teams and present complex AI concepts to non-technical stakeholders.

E: Job Accountabilities and Weightage

Job Accountabilities (What is done and why)	Weightage (%)
AI Model Development and Deployment	20%
- Establish and enforce AI assurance guardrails for model development and deployment across all AI initiatives.
- Review and approve AI solutions for production readiness, focusing on robustness, scalability, security, and operational fit.
- Ensure AI models adhere to enterprise standards for documentation, traceability, versioning, and lifecycle management.
- Partner with engineering and data science teams to embed assurance-by-design into AI delivery pipelines.
- Ensure AI solutions comply with Responsible AI, data governance, and regulatory requirements prior to deployment.
AI Assurance	20%
- Own and operationalize the AI Assurance Framework under the oversight of the AI Governance Board (AIGB).
- Act as the primary interface and subject-matter authority to the AIGB on AI risk, ethics, compliance, and assurance matters.
- Prepare, present, and recommend AI use cases, risk assessments, and assurance outcomes for AIGB review and decision-making.
- Ensure all AI initiatives comply with AIGB-approved policies, Responsible AI principles, and enterprise risk appetite.
- Define escalation criteria and lead assurance reviews for high-risk, sensitive, or mission-critical AI use cases requiring AIGB approval.
- Coordinate with Legal, Risk, Cybersecurity, Compliance, and Audit to ensure integrated and defensible AI assurance decisions endorsed by the AIGB.
- Track, report, and follow up on AIGB actions, conditions, and assurance commitments across the AI lifecycle.
AI Model Evaluation and Testing	20%
- Define enterprise standards for AI model validation, testing, and performance monitoring.
- Oversee independent evaluation of AI models for accuracy, bias, robustness, drift, and explainability.
- Ensure continuous monitoring of AI systems post-deployment and define intervention thresholds.
- Lead assurance reviews for mission-critical and safety-impacting AI systems.
- Report AI assurance findings, risks, and mitigation plans to senior stakeholders.
Knowledge Sharing and Mentorship	20%
- Act as a thought leader for AI Assurance across Technology & Infrastructure and the wider business.
- Mentor and coach team members and stakeholders on AI assurance, governance, and responsible AI practices.
- Develop and deliver AI assurance guidelines, playbooks, and training for technical and non-technical audiences.
- Promote a culture where AI risk awareness and trust are embedded into delivery, not treated as an afterthought.
- Represent Dubai Airports in external forums, audits, and industry discussions related to AI governance and assurance.
AI Strategy and Collaboration	20%
- Partner with the Head of Data & AI to shape the enterprise AI governance and assurance roadmap.
- Collaborate with business leaders to balance innovation speed with assurance requirements.
- Advise on AI strategy decisions related to agentic AI, automation, and advanced AI adoption.
- Support enterprise initiatives by ensuring AI assurance is aligned with DXB current operations and DWC future scale.
- Act as the single point of accountability for AI assurance engagement with vendors, partners, and regulators.

F: Communication and Working Relationship

Typical Level of Interaction	Typical level of audience
Advanced: Influence using logic and facts and have considerable impact on achievement of job objectives	Internal ☐ External ☒
Administrative / Support	Junior Management/ Supervisory ☒
Middle Management / Seasoned Professional ☐	Senior Management / Executive Management

G: Operating Environment

Usual office-type working conditions

H: Competencies:

Dimension	Competency Name	Competency Description	Expected Proficiency
Taking Responsibility	Ability to demonstrate integrity, take ownership of work and responsibility for outcomes, prioritising safety, self-management and abiding by ethical standards	Choose an item.
Values and Accountability	Ability to do what is best for the business - conserving resources, maximising commercial outcomes and working effectively across boundaries	Choose an item.
Delivering Commitments	Ability to make clear and realistic commitments, setting action plans to achieve them, monitoring progress and sticking with the job until it’s done	Choose an item.
Problem Solving & Judgement	Ability to apply flexible analytical and problem-solving skills to make well-judged, logical decisions that optimise outcomes	Choose an item.
Using Agility	Ability to adopt an energetic, can-do approach, spots opportunities, is proactive and does what is needed, and bounces back when setbacks occur	Choose an item.
Adaptability and Innovation	Ability to adopt flexible and adaptable approach and brings new ideas, to get the best outcomes in evolving circumstances	Choose an item.
Building Customer Relationships	Ability to build strong, positive, trusting connections with others and demonstrating highest levels of respect, empathy and service	Choose an item.
Helping Service Others to Succeed	Ability to actively support others to do their best and achieve more, through collaboration, involvement, empowerment, feedback and personal/professional development, using emotional intelligence	Choose an item.
Communicating & Influencing	Ability to communicate useful and meaningful information to others, and engages others in clear, proactive and transparent ways. Listens carefully and respectfully and influences others positively and effectively	Choose an item.

I: Disclaimer

This job description reflects management’s assignment of essential functions; and nothing herein restricts management’s right to assign or reassign duties and responsibilities to this job at any time. By accepting / confirming the Job description either through physical sign off or email, the employee consents to abide by all Dubai Airports’ policies and procedures, including but not limited to Human Resources policy, Code of Conduct, Non-disclosure of data policy, Cybersecurity policy and Enterprise Assurance Policies (HSSE, Environment etc.).

Acknowledgement

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Name: 
(Employee Signature)
Date: 6 - Apr - 26

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