Data Ethics

1. Sets the strategy, vision, and policy for managing the day-to-day strategic and tactical operations of the business intelligence (BI) teams. 2. Has responsibilities associated with historical data sourcing and preparation, data storage, reporting, analytics, data exploration, and information delivery. 3. Works with senior management to understand and prioritize data and information requirements. 4. Responsible for setting up the Business Intelligence Strategy within the organisation. 5. Oversees the development of testing methodology and criteria, standards, policies, and procedures for the structure and attributes of the business intelligence tools and systems. 6. Oversees budgeting and planning. 7. Manages a team and is proficient in the analytics tools and techniques required by the organisation. 8. Familiar with the relevant software platforms on which the solution is deployed. 9. Has the ability to adopt a broader perspective and display analytical thinking for BI solutions. 10. Able to influence key stakeholders and spearhead a data-driven approach to resolve business issues.

1. Identifies and translates market opportunities into actionable recommendations for the organization. 2. Supervises professionals in gathering and analyzing business intelligence (BI) data to help make informed business decisions. 3. Manages the timely reporting of data analysis outcomes and effectively communicates findings, insights, and recommendations to business leaders. 4. Develops data and/or information quality metrics and researches new technology and develops business cases to support enterprise-wide business intelligence solutions. 5. Responsible for developing guidelines on data insight reporting for the team. 6. Manages BI-related projects from end to end. 7. Manages a team and is proficient in the analytics tools and techniques required by the organization. 8. Familiar with the relevant software platforms on which the solution is deployed. 9. Has a deep passion for analyzing and resolving complex problems through a systematic approach. 10. Displays an intellectual curiosity and the capability to engage with stakeholders to understand business issues.

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. Oversee the development and implementation of regulatory strategies to ensure company compliance with local, national, and international regulations. 2. Monitor and analyze regulatory changes that could impact the company's products or operations, and advise on necessary actions. 3. Prepare and submit documentation required for regulatory approvals, including product registrations, license renewals, and reporting. 4. Liaise with regulatory agencies and bodies to facilitate the review and approval process for products and services. 5. Collaborate with cross-functional teams, including research and development, quality assurance, and marketing, to ensure regulatory considerations are integrated throughout the product lifecycle. 6. Manage the preparation and maintenance of regulatory files and support documentation. 7. Lead the company's response to regulatory inquiries, audits, and inspections. 8. Provide regulatory input for product labeling, packaging, advertising, and promotional materials to ensure compliance with regulations. 9. Train and educate staff on regulatory policies and procedures to foster a culture of compliance. 10. Represent the company in industry associations, regulatory forums, and other external meetings related to regulatory affairs.

1. Assists in the data collection and processing tasks 2. Integrates data from multiple sources and perform analysis to support business decisions 3. Identify new AI use cases and standard methodologies 4. Collaborate closely with functional area end-users to define requirements, diagnose, design and analyse information related to creation and adoption of solutions 5. Leverage on metrics and performance data to understand improvement opportunities 6. Deploy visualisation and generate reports that deliver insights to decision-makers 7. Provide expert functional and process mentorship on system capabilities

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.