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7 дней назад

Global Operations Data Architect (AI)

Формат работы
remote (только Singapore)
Тип работы
fulltime
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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