Manager - IT (AI Product Manager)

Malaysia Airports Berhad

Sepang

On-site

MYR 160,000 - 320,000

Full time

46 hours ago

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Job summary

Malaysia Airports Berhad seeks a senior AI leader to spearhead strategic AI/Data initiatives, shape the AI framework, and drive enterprise-wide AI adoption. You will lead the AI Center of Excellence, collaborate with data scientists, engineers and stakeholders, and ensure scalable, responsible AI solutions across MAHB's aviation ecosystem.

You will oversee model development, deployment, data governance, and continuous improvement while partnering with Transformation Management Office to foster

Qualifications

Strong leadership and stakeholder management capabilities.
Experience in driving AI initiatives and product development.
Strong analytical and problem-solving skills.
Excellent communication and collaboration across management levels.
Deep knowledge of AI tools and Google Gemini components.
Solid understanding of ML algorithms, deep learning, NLP, and computer vision.
Experience with MLOps and end-to-end ML lifecycle management.
Ability to architect scalable AI solutions and data architectures.

Responsibilities

Lead strategic AI/Data initiatives across MAHB to drive business performance and customer experience.
Define AI use cases, manage model lifecycle from prototype to deployment, and ensure fairness and transparency.
Collaborate with data scientists, engineers, and stakeholders to deliver value-driven AI products.
Oversee AI data architecture, feature stores, data governance, and data prep for training and inference.
Drive change management and foster data/AI literacy within the organization.

Job description

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Job Description

Position General Summary

The role is pivotal in planning and driving strategic Data & AI activities across the organization. Responsible to develop and formulate AI, Machine Learning, and interconnect/partner reporting initiatives to continuously enhance business performance, reporting, customer experience, and enterprise application development, all in support of MAHB's strategic objectives
To identify business opportunities where AI can be applied, collaborate with data science and engineering teams to develop solutions, and ensure that products created with the help of AI deliver actual value to users.
Collaborate with management, data scientists, engineers, and stakeholders, define product vision and AI use cases, manage model lifecycle (from prototyping to deployment), evaluate AI performance and iterate based on feedback, ensuring compliance with fairness, accountability, and transparency standards.
This includes overseeing predictive and descriptive analytics, machine learning models, and advanced artificial intelligence developments. Furthermore, you will act as a Change Agent, collaborating with the MAHB Transformation Management Office to execute change management initiatives, fostering a culture of innovation, design thinking, and data/AI literacy within human resources.
Work closely with Data Engineers, Data Scientists, and Business Analysts to productionize AI solutions, ensuring that data is appropriately prepared and optimized for AI/ML training and inference
The role requires guiding the team in technical issues, AI best practices, and implementing MLOps to support MAHB's strategic business objectives and analytics capabilities

Essential Position Functions

Strategic Leadership & Advisory: Execute the finalized MAHB AI Framework. Synthesize research findings to provide strategic guidance on AI capabilities, ethical AI use, and identifying potential AI solutions for complex aviation business challenges. Act as a Solution Architect who continuously scans the global landscape for new AI technologies and innovative solutions that align with MAHB’s diverse business requirements across the board.
Team & Community Management: Lead the AI Center of Excellence (COE) and AI Engineers. Act as the primary driver for the AI community within MAHB, fostering a culture of innovation and cross-functional literacy.
AI/ML Model Management: Oversee the end-to-end development, deployment, and MLOps of AI/ML models. Ensure the effective ""run and maintain"" lifecycle to meet MAHB’s ongoing analytical needs.
AI Data Architecture & Preparation: Develop and manage specialized data architectures for AI/ML workloads, including feature stores and robust data governance. Ensure data is appropriately prepared, labeled, and optimized for both training and inference.
AI Solution Integration: Facilitate cross-functional collaboration to ensure AI solutions are effectively integrated into existing airport systems, ensuring they meet specific business needs and drive measurable value.
System Optimization: Proactively monitor model performance to prevent data and concept drift. Advise on necessary infrastructure or framework adjustments required to maintain or scale AI capabilities.
Continuous Improvement: Lead initiatives for the continual refinement of machine learning methods and algorithms, staying ahead of industry trends to keep MAHB at the forefront of "Smart Airport" technology.
Synchronizing cross-functional liaison work to meet implementation datelines of various Big Data and AI initiatives
Coordinating the development of a unified digital platform that seamlessly supports both Big Data and AI capabilities
Ensuring the Data Lake serves as a reliable ""single source of truth"", critical for robust AI model training and inference
Developing the skills required in AI adoption and exploration across the Organization
Stakeholder management and expectation of AI solution.

Skills

Able to work independently, good communication skills and able to liaise across different levels of management, dedicated, and have endurance
Strong analytical, problem-solving, interpretation and conceptual competencies; passionate about creating value through analytical methods, machine learning, and data analysis
Very knowledgeable in Google Gemini components, other AI tools and has deep AI Technical Proficiency and Specialized AI Product Skills
Strong understanding and experience using machine learning algorithms, deep learning, NLP, or computer vision
Proficiency in statistical analysis, quantitative analytics, predictive analytics, and optimization algorithms
Experience in developing, deploying, and maintaining AI/ML models (MLOps)
Ability to understand customer challenges and define, architect, document, and implement technical AI solutions
MLOps & Orchestration: Mastery of the ML lifecycle (Kubeflow, MLflow, or SageMaker) with a focus on automated CI/CD pipelines for machine learning.
Data Engineering for AI: Deep understanding of Feature Stores, data labeling workflows, and building ETL pipelines specifically optimized for high-dimensional AI data.
Architecture Design: Ability to design scalable AI architectures that handle real-time inference (e.g., passenger flow monitoring) and batch processing
Advanced Modelling: Proficiency in building Agentic AI solutions using Python, including autonomous agents, tool-integrated LLM workflows, multi-agent systems, and reasoning-based orchestration frameworks.
Advanced knowledge of Google Cloud Platform is an advantage.

Education

External

Degree preferably with specialization in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or Statistics
Master degree would be an added advantage
Minimum 5 years of experience in leading a team
Advanced knowledge of Big Data analytics, AI/ML model development, and MLOps

Relevant Industries

External