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(Senior) Officer, Data Management Support

PTTEP Services Limited

Job Purpose

Senior Officer, Data Management Support  is required to develop digital signature, content and data management standard, guideline, and practices as well as requirement for data collection, delivery, and use of data together with associated systems to serve company strategy and external trends. The job holder also needs to identify for key content and data required to run projects as well as manage and update overall data catalog for key business.

Key Accountabilities

  • Develop standards, practices, and requirement for digital signature, content and data management as well as ensure consistent compliance of all implementation
  • Develop existing and future requirement for use of digital signature, content and data management system to meet data need to serve company strategy and external trends
  • Develop a strategic and tactical plan in alignment with current and future business requirement on data management
  • Identify the key data required to run the projects as well as define key issues and recommendations to solve the problems
  • Facilitate data council to provide guidelines and recommendation on business requirements, practice, and compliance

Key Accountabilities (Cont.)

  • Communicate standards and practices regarding data management to relevant stakeholders, and monitor all implementation to ensure efficiency
  • Define, manage, and update overall data catalog as well as collate data definition, sources, and owners for key data required for the business
  • Provide information to business users as required

Professional Knowledge & Experiences

  • Bachelor’s Degree in computer science, statistics, or operations research or related technical discipline
  • 10 years or more experience in Data Governance
  • Experience in working with digital signature, content and data management related to data architecture, integration, classification, strategy, quality management, security and privacy standards
  • Understand industry processes and uses of data throughout the lifecycle in the functions/data domains
  • Knowledge of industry and ability to translate business needs into data