Chief Data Architect

  • Excellent Executive Remuneration Package
  • Singapore
  • Permanent, Full time
  • Non-disclosed
  • 06 Sep 16

The Data Architect will be responsible for working with a team of Functional and Technical architects, the Business, and third parties to develop data management standards You will need to build relationship with key business, managed technology groups and to work collaboratively to develop solutions that meet business


  • Understand data flows and lineage from operational data sources to analytical data sources
  • Review and approve project designs
  • Establishing and enforcing standards, processes, frameworks, tools and best practices for process modeling, semantic modeling, and logical and physical data modeling
  • Establish standard information architecture best practices in the context of the enterprise’s overall architecture, and consistently apply such standards to operating units and functions across the company
  • Work with project teams to ensure compliance with data management standards
  • Participate in the development and maintenance of corporate data architecture, data management standards and conventions, data dictionaries and data element naming standards and conventions for multiple computing environments


  • Bachelor's degree in finance, business, computer science, or other relevant field
  • 15 years of relevant data management experience, including architecting data management solutions and designing/developing data governance policies/standards
  • Strong project leadership and management skills to lead organizational change to effectively meet strategic and tactical goals
  • Ability to help define and articulate the enterprise data management strategic vision and translate it into tactical implementable steps to C level
  • Strategic decision-making skills with a high degree of latitude
  • Information management program life cycle experience
  • End-to-end data warehousing program execution knowledge and leadership
  • Familiarity with software development lifecycles
  • Experience in setting up and supporting information analytics teams
  • Experience in defining business requirements for information management projects
  • Familiarity with process modeling, semantic modeling and data modeling