Top Tech Jobs & Startup Jobs in Singapore

Designs and evolves enterprise data architecture for global manufacturing and operations. Responsibilities include data modeling, integration standards, information governance, metadata, lineage, MDM, cloud data platforms, API and event-driven architectures, and AI-ready data products. The role collaborates with enterprise architects, engineers, data scientists, governance teams, and operational stakeholders to enable analytics, digital twins, smart manufacturing, reporting, and intelligent decision support.

Develop machine learning, statistical, optimization, computer vision, Generative AI, and advanced analytics solutions for smart manufacturing. Analyze operational data, deploy production-ready AI models, monitor performance, and collaborate with manufacturing, engineering, supply chain, quality, IT, and software teams to improve quality, productivity, reliability, and decision-making across global operations.

Coordinates customer programs and scheduled or reactive technical services, serving as the primary operational contact. Manages service inquiries, schedules, quotations, purchase orders, invoices, issue resolution, and cross-functional collaboration. Onsite coordinators support customer operations and execute duties defined in program agreements. The role requires strong organization, communication, customer service, adaptability, and proficiency with SAP or equivalent systems and Microsoft Office.

Leads the design and delivery of governed, business-ready data products, dimensional models, semantic assets, and KPI frameworks for Global Operations. Builds scalable lakehouse transformations using SQL, Python, and PySpark; establishes data quality, lineage, metadata, testing, CI/CD, monitoring, and security practices; and partners with business and technology stakeholders across supply chain, manufacturing, quality, and regulatory functions. Develops AI-ready data foundations supporting analytics, machine learning, generative AI, and executive reporting.

Leads the strategy, roadmap, development, and continuous enhancement of executive decision-intelligence products. Builds Power BI and Microsoft Fabric dashboards, scorecards, semantic models, scenario-planning applications, and predictive analytics solutions. Integrates ERP and disparate data sources using Python and SQL, applies AI/ML techniques, and partners with global operations leaders across supply chain, manufacturing, quality, and regulatory functions. Translates complex operational data into scalable, user-centric insights that improve executive decision-making and enterprise performance.

Develop machine learning, statistical, optimization, computer vision, Generative AI, and Agentic AI solutions for smart manufacturing. Analyze operational data, build production-ready AI applications, support cloud deployment and model monitoring, and collaborate with manufacturing, engineering, supply chain, quality, IT, and software teams to improve quality, productivity, reliability, and decision-making.

Build and maintain scalable enterprise data platforms, pipelines, integrations, and reusable data products for global manufacturing operations. Implement data governance, quality monitoring, metadata, lineage, and master data practices. Develop cloud-native, batch, streaming, and event-driven solutions supporting analytics, AI, reporting, smart factories, and digital twins. Collaborate with architects, engineers, data scientists, and operations stakeholders while applying DevOps, observability, and CI/CD practices.

Develop secure, intuitive operational applications for manufacturing and frontline workflows across mobile, tablet, and industrial devices. Integrate applications with SAP, MES, enterprise data platforms, AI services, and backend APIs. Build offline-capable workflows, digital instructions, inspections, maintenance tools, inventory transactions, and approvals. Collaborate with multidisciplinary teams, stakeholders, and Agile development groups to improve productivity, usability, and operational decision-making through modern cross-platform, cloud, and AI-enabled technologies.

Analyzes international trade, tariff, customs, shipment, and trade agreement data; prepares reports and recommendations on risks, costs, duty optimization, and trade strategy. Monitors import/export compliance across China, Europe, and Asia, maintains SAP/MIC trade data, resolves discrepancies, supports customs reconciliation, researches regulatory changes, and identifies automation and process improvement opportunities. Collaborates with logistics, supply chain, finance, legal, compliance, and regional trade teams.

Manages end-to-end customer orders from entry through delivery and invoicing, resolves complex customer service issues, coordinates with sales, manufacturing, logistics, and service teams, and ensures compliance with company policies and international requirements. Provides order status updates, supports revenue recognition, handles escalations, processes changes and returns, and contributes to customer service KPIs. Supports Korean customers in English and Korean and may work extended shifts during month-end.