# Data Architect APAC at CMA CGM

CMA CGM is hiring a Data Architect APAC in Singapore, Singapore. Level rates it Works on AI ●●●○; you can [apply on CMA CGM](https://jobsbylevel.com/go/340abb07-d44d-414c-8e3f-9fb7325a92e5?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Singapore, SGP.

## Details

- Company: [CMA CGM](https://jobsbylevel.com/companies/cma-cgm)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Singapore, SGP
- Posted: October 21, 2026
- Apply: https://jobsbylevel.com/go/340abb07-d44d-414c-8e3f-9fb7325a92e5?utm_medium=ai-agent

## Prepare for this job

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## Description

Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions. Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050. Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world. Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located. Role Overview You will shape and govern data architecture across APAC, ensuring alignment with global architecture principles and standards. You will translate business strategy and regional requirements into scalable data platforms, domain models, integration patterns, governance controls, analytics and reporting capabilities, and implementation roadmaps. You will also provide solution and application architecture leadership, designing end-to-end solutions spanning applications, BI and analytics, APIs, event-driven integrations, data domain products, and cloud services. Key Responsibilities Define and evolve the APAC data architecture strategy, standards, reference architectures, and roadmaps in alignment with Group direction and regional business priorities. Partner with Head Office and APAC stakeholders to translate enterprise architecture principles and business requirements into scalable regional solutions. Embed data governance, ownership, metadata, lineage, quality, master and reference data, security, privacy, residency, and lifecycle requirements into solution designs. Design scalable data platforms—including warehouses, lakehouses, data products, and analytics environments—and end-to-end architectures spanning applications, APIs, events, integrations, and cloud services. Shape architectures for data science, advanced analytics, machine learning, and generative AI, incorporating MLOps/LLMOps and responsible AI controls. Lead architecture reviews and design assurance for internal and vendor-led solutions, documenting key decisions, managing architectural risks, and verifying implementation against approved designs. Guide delivery teams throughout implementation, resolve design and technical issues, and support data migration, integration, and cloud adoption initiatives in accordance with Head Office guidelines. Coach regional teams, promote reusable patterns and consistent documentation, and evaluate emerging technologies to support innovative, compliant solutions. What We’re Looking For Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline, or equivalent professional experience. At least 12 years of relevant technology experience, including 5 years in data, solution, or enterprise architecture, with demonstrated architecture leadership in a regional or global organisation. Strong experience designing modern data platforms and integration ecosystems, and governing both vendor-led and internally delivered solutions. Strong understanding of data governance, metadata, lineage, data quality, security, privacy, and regulatory requirements. Working knowledge of AI/ML and data science lifecycles, production deployment patterns, and responsible AI controls. Proficiency in Python and SQL sufficient to evaluate technical designs. Professional fluency in English, with excellent stakeholder management, facilitation, and communication skills, including the ability to influence senior

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