ICT Applications Professional

Job Summary

• Maintain the data polices and principles across relevant participants.
• Achieve STC goals of data utilizations and management via all process and systems.
• Achieve target data quality in term of audit and maintain appliance of adopted quality policies.
• Lead technical assessment of current data management.

Key Responsibilities

• Sets information architecture standards and methodologies.
• Identifies the information that the Institute produces and consumes.
• Ensures regulatory issues are considered surrounding information assets (such as consumer privacy laws, data retention policies, outsourced data and specific industry guidelines are adhered to.
• Creates the strategic requirements, principles, models and designs that strengthen the data management and quality.
• Review user requirements by researching and analyzing business needs, preferences, objectives, and working methods and studies how business consume content, including data categorization and labeling.
• Plans information architecture by studying the site concept, strategy, and target audience and by envisioning architectural scheme, information structure, features and functionality.
• Participate and consulted in user scenarios; preparing data models; designing information structure, work-and data flow, and navigation.
• Establishes the rules for describing and completing a data valuation process for data objects.
• Implements a discipline and approach to managing information assets and converting the principles of the architecture into a technology solution.
• Leads the design of the information architecture, across multiple data types.
• Provides severity/ critical/ confidentiality classification of the data.
• Creates ecosystem models (e.g.,  conceptual, logical, canonical) that are required for supporting services within the enterprise data architecture (conceptual data model for defining the major subject areas used, ecosystem logical model for defining standard business meaning for entities and fields, and an ecosystem canonical model for defining the standard messages and formats to be used in data integration services throughout the ecosystem.)

Qualifications/Certification

• Bachelor’s or Master’s degree in Computer Science/Information Technology/Software Engineering.
• Relevant certification in DM (CDMP), SID certification, or TOGAF

Required Experience

6 years or more of experience in one or more of below fields:

• Defining and maintaining information and data principles, polices, matrixes.
• Data modelling
• Metadata design and management
• Data management experience
• DWH activities (metadata , sourcing ETL, ELT,..)

Desired Skills & Knowledge

• Big data (design , implementation, maintenance)
• BI design, implementation.