Principal Data Platform & AI Automation Lead

RAFFLES MEDICAL GROUP LTD

Singapore

On-site

SGD 180,000 - 260,000

Full time

14 days+
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Job summary

RAFFLES MEDICAL GROUP LTD in Singapore is seeking a Principal Systems Analyst, Data Platform to lead stability, modernisation, and governance of enterprise data platforms across data warehousing, ETL, analytics, and cloud services.

You will drive cloud adoption and AI-driven automation, provide technical leadership, mentor staff, and partner with stakeholders to ensure secure, compliant, and scalable analytics solutions that meet evolving business needs.

Qualifications

  • Strong experience in systems analysis, SQL and data warehousing.
  • Hands-on with BI tools such as Qlik, Tableau, or Power BI.
  • Proficiency in Python, ML concepts, and MLOps practices.
  • Experience with UiPath and Power Platform (Power Automate, Power Apps, Microsoft Fabric).
  • Exposure to CI/CD pipelines and cloud data platforms such as Azure Synapse, AWS Redshift, or BigQuery.

Responsibilities

  • Oversee stability, scalability, and reliability of enterprise data platforms.
  • Manage data warehousing, ETL pipelines, and analytics environments.
  • Provide technical leadership and mentor analysts, engineers, and consultants.
  • Lead stakeholder workshops to improve data literacy and platform adoption.
  • Ensure governance, privacy, compliance, and documentation.

Skills

Systems analysis
SQL
Data warehousing
BI tools
Python
ML concepts
MLOps
Data governance
CI/CD
Data storytelling

Tools

Qlik
Tableau
Power BI
UiPath
Power Platform
Power Automate
Power Apps
Microsoft Fabric
Azure Synapse
AWS Redshift
Google BigQuery

Job description

RAFFLES MEDICAL GROUP LTD in Singapore is seeking a Principal Systems Analyst, Data Platform to lead stability, modernisation, and governance of enterprise data platforms across data warehousing, ETL, analytics, and cloud services.

You will drive cloud adoption and AI-driven automation, provide technical leadership, mentor staff, and partner with stakeholders to ensure secure, compliant, and scalable analytics solutions that meet evolving business needs.

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