7 дней назад
Global Operations Data Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Global Operations Data Architect (AI): Defining enterprise data architectures for manufacturing, supply chain, quality, engineering, and operational excellence with an accent on data modeling, integration standards, governance, and AI-ready platforms. Focus on designing scalable data ecosystems across ERP, MES, PLM, cloud platforms, industrial systems, and event-driven integrations.
Location: Singapore-Yishun; remote work option available
Company
develops technologies and digital solutions supporting manufacturing operations, enterprise data platforms, AI, smart factories, and scientific workflows.
What you will do
- Design and maintain enterprise data architecture for manufacturing, supply chain, procurement, logistics, quality, engineering, and operational excellence.
- Develop conceptual, logical, and physical data models, enterprise information models, canonical structures, and architecture standards.
- Define batch, real-time, and event-driven integration patterns across ERP, MES, PLM, quality systems, cloud platforms, and operational technologies.
- Partner with engineering, AI, data governance, manufacturing, and business teams to develop reusable data platforms, semantic models, and data products.
- Enable analytics, AI applications, enterprise reporting, smart factory initiatives, digital twins, and intelligent operations.
- Provide technical guidance, shape technology roadmaps, evaluate emerging technologies, and ensure compliance with cybersecurity, privacy, and regulatory requirements.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related discipline.
- Experience in data architecture, solution architecture, enterprise data management, or data engineering.
- Strong understanding of data modeling, integration architecture, and enterprise information management.
- Experience with enterprise applications and cloud-based data platforms.
- Strong analytical, communication, and stakeholder management skills.
- Experience may correspond to multiple career stages; responsibilities and technical leadership will be aligned with demonstrated capability.
Nice to have
- Experience in manufacturing, supply chain, quality, enterprise operations, Industry 4.0, or smart manufacturing.
- Cloud-native data platforms, data lakehouse or data warehouse architecture.
- API and event-driven architecture, Master Data Management, or enterprise architecture frameworks such as TOGAF.
- Artificial Intelligence or advanced analytics platforms.
Culture & Benefits
- Full-time schedule with day shift and no specified end date.
- Remote work option available.
- Opportunity to work with SAP ERP/S/4HANA, SAP ME/MES, Azure, AWS, Microsoft Fabric, Databricks, Snowflake, Azure Data Lake, SQL, Python, REST APIs, Power BI, Tableau, and Qlik.
- Work within global teams focused on collaboration, innovation, and engineering excellence.
- No travel required.
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