Database Administration

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. Identifies, tests, and deploys all database technologies and support tools. 2. Ensures system improvements are successfully implemented and is responsible for verifying all data to be entered into the database meets set standards and requirements. 3. Installs, configures, and maintains the database infrastructure within assigned span-of-control. 4. Assists in project planning by establishing work plans, estimates, milestones, and schedules. 5. Required to be on standby with on-call availability to resolve database related incidents. 6. Works in a team setting and is proficient in database administration, database management-related tools and techniques. 7. Familiar with the relevant software platforms on which the database is deployed. 8. Able to quickly and effectively solve issues as they arise. 9. Methodically identifies the cause of the issue, evaluates it and develops a solution in collaboration with the team. 10. Able to communicate effectively and displays high service level standards.

1. Defines the organization's product development vision and strategy, ensuring the product roadmap is aligned with this vision and strategy. 2. Anticipates the effects of internal and external business challenges and market conditions on the organization's product development roadmap. 3. Manages the organization's product development processes and makes enhancements to product portfolios to boost their commercial success. 4. Advises development teams on matters related to product design, development, and deployment, as well as the creation of distinct strategies for different business lines. 5. Collaborates with various teams across the organization. 6. Possesses expertise in product development and management practices and tools, including product branding and pricing strategies. 7. Stays informed about new and emerging consumer and industry trends. 8. Embraces a global perspective, incorporating diverse trends and insights to develop a forward-looking vision for the product portfolios. 9. Serves as a charismatic leader, motivating team members to unite and work towards shared objectives.

1. Blends historical data from available industry reports, public information, field reports or purchased sources, basic data cleaning and transformation, and performs analysis to support business and product decisions. 2. Uses development tools to generate reports, dashboards, clean and prepare the data, and analytical solutions according to business rules and specifications. 3. Is part of important projects and coordinates with internal teams to develop projections on outcomes of implementing business strategies that result in actionable insights. 4. Assists in the data collection, processing, and warehousing tasks, which may also include collection, parsing, analysing and visualising large sets of data. 5. Works in a team setting and is proficient in the analytics tools and techniques required by the organisation. 6. Is familiar with the relevant software platforms on which the solution is deployed. 7. Adopts an analytical approach to solving problems and displays confidence when communicating ideas.

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. Supports the design, implementation, and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner. 2. Focuses on defining optimal solutions to data collection, processing, and warehousing. 3. Designs, codes, and tests data systems and works on implementing those into the internal infrastructure. 4. Focuses on collecting, parsing, managing, analysing and visualising large sets of data to turn information into insights accessible through multiple platforms. 5. 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. Passionate about numbers and works with large data sets. 8. Has a keenness for understanding business processes and resolving challenges to provide solutions with the help of clean and interlinked databases and architectures.