Remote Global Operations Data Architect for Enterprise AI

Agilent Technologies Singapore (International) Pte Ltd; Singapore; Hybrid; SGD 120,000 - 190,000; Full time

Job summary

Agilent Technologies Singapore (International) Pte Ltd is seeking a Global Operations Data Architect to define and evolve the enterprise data architecture that underpins Agilent's global manufacturing, supply chain, and quality systems.

You will collaborate with business leaders, data governance, and engineering teams to build scalable data models, standards, and AI-ready platforms that enable trusted analytics and digital manufacturing across sites worldwide.

Qualifications

• Strong understanding of data modeling, integration architecture, and enterprise information management principles.
• Experience working with enterprise applications and cloud-based data platforms.
• Strong analytical, communication, and stakeholder management skills.
• Passion for designing scalable technology solutions that enable business transformation.

Responsibilities

• Design and maintain enterprise data architecture across Manufacturing, Supply Chain, Procurement, Logistics, Quality, Engineering, and Operational Excellence.
• Define enterprise data models, canonical data structures, and architecture standards.
• Establish data standards, metadata, lineage, and governance.
• Design data architectures that enable AI, analytics, and enterprise reporting.
• Collaborate with stakeholders to define roadmaps and promote reusable data services.

Skills

Data Architecture

Enterprise Data Management

Data Modeling

Integration Architecture

Cloud-based Data Platforms

Education

Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Data Engineering, or related discipline

Tools

SQL

Python

REST APIs

Event Streaming

Data Factory

Job description

Agilent Technologies Singapore (International) Pte Ltd is seeking a Global Operations Data Architect to define and evolve the enterprise data architecture that underpins Agilent's global manufacturing, supply chain, and quality systems.

You will collaborate with business leaders, data governance, and engineering teams to build scalable data models, standards, and AI-ready platforms that enable trusted analytics and digital manufacturing across sites worldwide.