Senior Digital Solutions Engineer - AI & Manufacturing

WS Audiology; Singapore; Híbrido; SGD 120.000 - 180.000; Tempo integral

Resumo da vaga

WS Audiology seeks a data analytics leader to drive digital transformation across global manufacturing operations. You will design end-to-end data solutions, dashboards, and data pipelines, enabling smarter operations and better resource utilization.

The role requires strong analytics, AI awareness, and stakeholder collaboration across Manufacturing, IT, and Quality. You will partner with operations to implement data-driven workflows, optimize processes, and deploy AI-enabled improvements while

Qualificações

• Experience in manufacturing digitalization and data analytics across global operations.
• Experience delivering analytics solutions from requirement gathering through deployment.
• Strong communication with both technical and non-technical teams.
• Experience in regulated manufacturing environments is desirable.

Responsabilidades

• Design and develop end-to-end data solutions (acquisition, transformation, storage, analysis, visualization).
• Create dashboards and KPIs for manufacturing performance and process control.
• Build data pipelines integrating operations systems and data sources.
• Develop web-based interfaces for operational reporting.
• Apply SPC, trend analysis, and predictive analytics to monitor performance.
• Support existing BI solutions and analytics architecture for daily operations.
• Document tests and ensure compliance with quality policies.

Conhecimentos

Data Analytics

Data Engineering

BI

AI

Stakeholder Management

Formação

Bachelor's or Master's in CS/Data Science/IT/Analytics/Industrial Engineering

Ferramentas

SQL

Python

Power BI

APIs

Descrição da vaga

WS Audiology seeks a data analytics leader to drive digital transformation across global manufacturing operations. You will design end-to-end data solutions, dashboards, and data pipelines, enabling smarter operations and better resource utilization.

The role requires strong analytics, AI awareness, and stakeholder collaboration across Manufacturing, IT, and Quality. You will partner with operations to implement data-driven workflows, optimize processes, and deploy AI-enabled improvements while