Data Strategy

1. Supports the production of scalable and optimised artificial intelligence (AI)/machine learning (ML) models. 2. Focuses on building algorithms for the extraction, transformation, and loading of large volumes of real-time, unstructured data to deploy AI/ML solutions from theoretical data science models. 3. Runs experiments to test the performance of deployed models and identifies and resolves bugs that arise in the process. 4. Works in a team setting and is proficient in statistics, scripting, and programming languages required by the organisation. 5. Familiar with the relevant software platforms in which the models are deployed. 6. Knowledgeable of the requirements under the Model AI Governance Framework and the Personal Data Protection Act (PDPA) in his work on AI/ML models. 7.Determined individual comfortable working with large data sets, keen interest in problem solving and experimentation.

1. Establishes the organisation's data and artificial intelligence (AI) strategy, and ethics and governance framework, fostering a culture of compliance to data privacy regulations and the Model AI Governance Framework. 2. Accountable for the quality, accessibility, analysis, and management of data to inform business strategy, decision-making, and drive performance. 3. Designs initiatives and programs to realize the optimal business value derivable from the organisation's data assets. 4. Formulates data and AI project prioritization and resourcing strategies, establishes performance measures to evaluate outcomes data, and AI-driven solutions. 5. Identifies potential intellectual property (IP) opportunities from analyses and insights from market intelligence reports, and advises the business on infringements against the organisation's IP related to AI solutions. 6. Creates a shared vision and objectives on the use of data and AI in the organisation, building strategic relationships with key business and industry stakeholders to achieve business goals. 7. Highly skilled in influencing and engaging stakeholders to secure their buy-in and support. 8. Possesses strong business acumen, highly innovative, and able to make calculated-risk decisions, performing effectively in a complex and difficult environment. 9. Strong leadership and management skills required to develop the organisation's data and AI capabilities.

1. Monitor and investigate the operational status of cloud systems 2. Understand Security/Risk/Compliance and Regulatory policies 3. Analyse security incidents related to the cloud network 4. Manage scalable architecture to support applications and infrastructure on IaaS and PaaS platforms 5. Evaluate the best cloud solutions for the organisation 6. Incorporate security management and privacy requirements into cloud hardware, software, and applications 7. Design controls and processes that utilise available audit tools 8. Maintain up-to-date and extensive knowledge of cloud products and technology

1. Analyze customer data specific to the telecommunications industry, including usage patterns, service preferences, and satisfaction levels. 2. Utilize advanced analytics and statistical methods to segment customers and predict behaviors such as churn, upsell opportunities, and service adoption. 3. Collaborate with cross-functional teams, including marketing, sales, and product development, to leverage customer insights for targeted campaigns and product enhancements. 4. Monitor and assess the impact of telecommunications market trends on customer behavior and expectations. 5. Develop and maintain dynamic reports and dashboards that provide actionable insights into customer demographics, behaviors, and lifecycle stages. 6. Conduct customer journey mapping to identify key touchpoints and opportunities for improving the customer experience. 7. Design and implement customer surveys, focus groups, and other research initiatives to gather qualitative insights. 8. Provide data-driven recommendations to inform customer retention strategies and loyalty programs. 9. Communicate complex analytical findings to non-technical stakeholders in a clear and compelling manner. 10. Support the creation of personalized customer communications and offers based on data-driven segmentation and profiling.

1. Designs systems to facilitate access to and finding of information. 2. Plans, designs, develops, and tests internal information-delivery solutions and data models with the focus on providing positive user experience. 3. Works with end users to specify requirements, create and implement designs to meet internal and client-facing objectives. 4. Develops information management standards and practices, in compliance with data privacy policies and ethics and governance frameworks. 5. Works in a team setting and is proficient in database systems, scripting and programming languages required by the organisation. 6. Familiar with the relevant software platforms on which the solution is deployed. 7. Integrates diverse needs and perspectives from internal and external clients and possesses a creative mind to develop new and fresh ideas and solutions. 8. Possesses strong leadership and communication abilities and is able to influence key stakeholders and clients he interfaces with.

1. Plans and leads the development of new and advanced data analytic techniques, methodologies and analytical solutions from design, prototyping, and testing. 2. Identifies and develops core data and artificial intelligence (AI) science components for the delivery of projects, architects specialised database and computing environments, explores and visualises complex data set to provide incremental business value. 3. Extracts and integrates data from various sources, and creates advanced models and algorithms suitable for the business use case. 4. Conducts testing on data and AI models, interprets findings from testing, and evaluates model performance for scaling and deployment. 5. Develops compelling and logically structured communication materials to facilitate stakeholder buy-in. 6. Works in a team setting and is proficient in statistics, scripting and programming languages required by the organisation. 7. Familiar with the relevant software platforms on which the solution is deployed. 8. Has strong analytical and critical thinking skills to identify and solve problems. 9. Passionate about analysing and resolving complex business problems, displays intellectual curiosity towards using data and AI to address business needs and challenges. 10. A data storyteller, able to influence key stakeholders and spearhead a data-driven approach to resolve business issues.