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Data Strategy : Formulating and implementing the organization’s data strategy, ensuring it aligns with business goals (Data driven Decision). Data Framework: Establishing and overseeing policies, standards, and procedures to ensure data quality, privacy, and security. Data Management: Overseeing the collection, storage, and maintenance of data across the organization, ensuring it is accessible & reliable. Data Capabilities (Analytics and BI) : Leveraging advanced data analytics tools and machine learning to provide insights , dashboards and support decision. Data Architecture: Designing and managing data architecture to ensure it supports the organization’s data needs effectively and efficiently. Innovation and Data Use: Ensuring seamless interaction and engaging customer across touch points (Omni-channel), emerging technologies AI – machine learning). Customer Data Management: Optimize customer data for personalized experiences and improved customer service. Analytics and Data Science: Develop predictive models and innovative data solutions. Data Security and Privacy: Protect data and ensure compliance with privacy laws GDPR , etc.. Data Operations: Manage daily data operations and integration processes.
Job Responsibility:
Data Strategy : Formulating and implementing the organization’s data strategy, ensuring it aligns with business goals (Data driven Decision)
Data Framework: Establishing and overseeing policies, standards, and procedures to ensure data quality, privacy, and security
Data Management: Overseeing the collection, storage, and maintenance of data across the organization, ensuring it is accessible & reliable
Data Capabilities (Analytics and BI) : Leveraging advanced data analytics tools and machine learning to provide insights , dashboards and support decision
Data Architecture: Designing and managing data architecture to ensure it supports the organization’s data needs effectively and efficiently
Innovation and Data Use: Ensuring seamless interaction and engaging customer across touch points (Omni-channel), emerging technologies AI – machine learning)
Customer Data Management: Optimize customer data for personalized experiences and improved customer service
Analytics and Data Science: Develop predictive models and innovative data solutions
Data Security and Privacy: Protect data and ensure compliance with privacy laws GDPR , etc.
Data Operations: Manage daily data operations and integration processes
Requirements:
Bachelor's degree in computer science, engineering or a related major from a reputable university
Minimum 15 years of relevant experience preferrably in Telecommunication or IT Consulting