Senior Data Integration Manager

Permanent Role, Singapore


  • Analyse database implementation methods to make sure they are in line with company policies and any external regulations that may apply
  • Provide insight into the changing database storage and utilization requirements for the company and offer suggestions for solutions
  • Develop database design and architecture documentation for the management and executive teams
  • Provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.
  • Meet user reporting & analytical requirements for the development and maintenance of system.


  • Support CTO to implement the Data Strategy
  • Plan for manpower development
  • Plan and monitor career development for each IT staff
  • Responsible for staff recruitment, appraisal and training
  • Document data standards, requirement specifications, and business processes


  • University degree or equivalent professional qualification
  • 4 – 6 years of enterprise data warehouse/ data lake experience with at-least 2 years of experience with ETL/data mart
  • Proven experience in developing and managing EDW or ODS projects in insurance domain.
  • Should have had experience of building data lake solutions on AWS stack
  • Should have had experience on BI tools like Qlik / BO / Cognos
  • Experience and understanding of data sources including 3rd party RDBMS, MS access, SQL server and oracle
  • Demonstrate strong written and verbal communication and decision making skills
  • Strong analytic, problem solving, negotiation, issue resolution and facilitation skills are required
  • Familiarity with Insurance domain& systems
  • Experience on Data Modeling
  • Experience in Qlik/Tableau will be a plus


  • Hands-on analyst, technologist with good experience in Information management, data warehousing and analytics technologies to provide
    • The tactical and strategic direction in the areas of business intelligence analytics, data mining and visualization
    • Assessment of data quality and consistency across platforms, products and geographical areas.
  • Prior experience in BI / DW / Analytics implementation is a must.
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