Chief Data Officer/chief AI Officer
The Chief Data Officer/Chief Artificial Intelligence Officer establishes the organization'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. He/She is accountable for the quality, accessibility, analysis and management of data to inform business strategy, decision-making and drive performance. He designs initiatives and programs to realize the optimal business value derivable from the organization's data assets. He formulates data and AI project prioritization and resourcing strategies and establishes performance measures to evaluate outcomes data and AI-driven solutions. He identifies potential intellectual property (IP) opportunities from analyses and insights from market intelligence reports, and advises the business on infringements against the organization's IP related to AI solutions. He creates a shared vision and objectives on the use of data and AI in the organization, building strategic relationships with key business and industry stakeholders to achieve business goals. The Chief Data Officer/Chief Artificial Intelligence Officer is highly skilled in influencing and engaging stakeholders to secure their buy-in and support. He has strong business acumen, is highly innovative, and is able to make calculated-risk decisions, performing effectively in a complex and difficult environment. He possesses strong leadership and management skills required to develop the organization's data and AI capabilities.
Skills and Competencies
Technical Skills & Competencies
Generic Skills & Competencies
Critical Work Functions and Key Tasks
• Establish the organisation's data and AI strategy, data privacy policies, and the Ethics and Governance framework
• Align data and AI strategy, priorities and plans of the data function to the organisation's vision and mission
• Formulate approaches to maximise the value of data analytics capabilities
and technological investments for the organisation
• Develop strategies to ensure seamless integration of technologies with workflows
and processes across the organisation
• Promote the adoption of industry leading practices and new data management technologies across the organisation
• Drive the organisation's culture of compliance to data privacy policies, and relevant ethics and governance framework
• Review ethics and governance framework and measures to ensure continued relevance and effectiveness
• Design data and AI driven initiatives to leverage the value of data assets in the organisation
• Lead the identification of high business value business opportunities through application of data and AI solutions
• Advise the team on new and innovative tools and techniques to derive greater value from data
• Determine and showcase the potential value and impact of analytics and intelligent systems on existing business processes
• Oversee the implementation of Business Intelligence, Data Analytics, and AI driven initiatives across the organisation
• Formulate project prioritisation and resourcing strategies for AI and Data Science projects across the organisation
• Establish performance measures to evaluate data and AI initiatives, programmes,
and value derived from effective data management
• Advise the team on new and innovative tools and techniques to derive greater value from data
• Review emerging trends and intelligence, and analyse technology landscape
reports and analyses to identify potential IP opportunities
• Oversee systems and processes to manage IP related to AI solutions and/or models
• Act as a subject matter expert and resource person for infringements
against the organisation's IP related to AI solutions and/or models
• Build strategic relationships and alliances with key business and industry stakeholders,
and partners to achieve organisational objectives and maximise the value of investments
• Develop a stakeholder management plan to create shared vision
and objectives on the use of data and AI in the organisation
• Lead engagement initiatives with key leaders and senior stakeholders to obtain buy-in for data and AI initiatives
• Source for data analytics opportunities for the business and ensure data and indo compliance with
business policies and external legal requirements