Chief Data Officer/Chief Artificial Intelligence Officer
The Chief Data Officer/Chief Artificial Intelligence Officer 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. 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 realise the optimal business value derivable from the organisation's data assets. He formulates data and AI project prioritisation 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 organisation's IP related to AI solutions. He 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. 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 organisation's data and AI capabilities.
What Does a Chief Data Officer/Chief Artificial Intelligence Officer Do?
Key Responsibilities & Tasks
Establish data and artificial intelligence (AI) strategy
- Establish the organisation's data and AI strategy, data privacy policies, and relevant ethics and governance frameworks
- 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, relevant ethics and governance frameworks
- Review ethics and governance framework and measures to ensure continued relevance and effectiveness
Optimise business value from data
- 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
Formulate objectives and requirements from a business perspective
- Oversee the implementation of 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
Manage intellectual property (IP) strategies, processes and procedures
- 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
- Build strategic relationships and alliances with key business and industry stakeholders, and partners to achieve organisational objectives and maximise the value of investments
- Develop stakeholder management plans 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
Develop organisation's data and AI capabilities
- Develop strategies and plans to build capabilities within the AI function
- Drive talent management initiatives to attract, motivate and retain talent for AI teams
- Ensure AI solutions and deployment is guided by organisation’s corporate values
- Lead succession planning and management for key leadership roles in the AI function
Do You Have the Skills for This Role?
A Chief Data Officer/Chief Artificial Intelligence Officer needs 5 core competencies. Here's what's required and at what level.
Must-Have Skills (Advanced)
Problem Solving
AdvancedThinking Critically
Communication
AdvancedInteracting with Others
Collaboration
AdvancedInteracting with Others
Developing People
AdvancedInteracting with Others
Customer Orientation
AdvancedInteracting with Others
SkillsFuture Skill Levels
3 levelsBasic
Recognise and understand fundamental concepts. Apply skills in routine situations with guidance.
Intermediate
Apply skills in varied situations independently. Analyse problems and adapt approaches as needed.
Advanced
Lead and innovate in complex situations. Evaluate strategies, guide teams, and drive improvements.
Technical Skills & Competencies (TSC) Levels
6 levelsFollow
Carry out routine tasks under close supervision. Follow established procedures and guidelines.
Assist
Perform tasks with some independence. Assist in non-routine situations and apply established techniques.
Apply
Apply skills and knowledge independently in varied situations. Analyse problems and adapt approaches.
Analyse
Analyse complex situations and develop solutions. Guide and mentor junior colleagues.
Strategise
Set strategic direction and drive innovation. Evaluate trade-offs and make high-impact decisions.
Transform
Lead industry transformation. Establish standards, shape policy, and provide expert advisory.
Technical Skills & Competencies
A Chief Data Officer/Chief Artificial Intelligence Officer requires 19 technical skills at specific proficiency levels.
Budgeting
Level 6Business Finance
Endorse organisational financial and treasury management policies, systems, budgets and plans
Business Agility
Level 6Business and Project Management
Establish policies that enable adaptability and foster a culture of business agility in the organisation
Business Continuity
Level 6Business and Project Management
Define the optimal business continuity strategy and objectives for business continuity and contingency plans
Business Risk Management
Level 6Business and Project Management
Anticipate emerging threats and potential risks, and define the overarching risk management strategy for the business
Change Management
Level 6Business and Project Management
Establish the organisation's change management strategy, define key success indicators, and inspire shared commitment to the change
Data Ethics
Level 6Governance and Compliance
Drive professional, legal and ethical accountability and responsibility within and across organisations
Data Governance
Level 6Governance and Compliance
Establish policies for data security and usage, facilitate industry consensus around data ethics, and provide expert advice on data transfer across geographies
Data Strategy
Level 6Strategy Planning and Implementation
Define a coherent data strategy and spearhead new approaches to enrich, synthesise and apply data, to maximise the value of data as a critical business asset and driver
Enterprise Architecture
Level 6Design and Architecture
Envision and lead the development of a future-ready enterprise architecture, and strategically manage resources and capabilities to sustain the evolution of the business
Emerging Technology Synthesis
Level 6Business and Project Management
Establish an emerging technology strategy and spearhead organisational norms to synthesise and leverage new technologies and trends to propel business growth
IT Governance
Level 6Governance and Compliance
Establish the IT governance strategy and structure to guide policies and practices, and facilitate industry-wide conversations around technology governance and standards
IT Standards
Level 6Governance and Compliance
Inspire enhancements and redefine IT standards, in line with the evolving landscape and their impact on service expectations
Organisational Analysis
Level 6Strategy Planning and Implementation
Synergise organisational analysis, reviewing and evaluating findings and communicating findings to relevant stakeholders as well as advising on improvements for the organisation
Performance Management
Level 6Operations and User Support
Chart direction on key performance indicators of ICT infrastructure and develop a strategy to enable achievement to achieve long term business requirements
Quality Standards
Level 6Governance and Compliance
Review organisation’s quality guidelines against emerging trends and industry best practices, ensuring alignment with company values and objectives
Sustainability Management
Level 6Business and Project Management
Establish an organisation-wide sustainability strategy and introduce new, innovative practices and technologies to optimise energy and resource efficiency
Stakeholder Management
Level 6Stakeholder and Contract Management
Establish the overall vision for the alignment of organisation's and stakeholders' objectives, co-creating shared goals and strategic initiatives with senior stakeholders.
Strategy Planning
Level 6Business and Project Management
Build actionable organisation strategy plans and policies that are forward-looking, anticipate strategic risks and focus on bottom line results
Research
Level 5Development and Implementation
Oversee and review the effective implementation of the research project within known resource constraints
European Skills Framework
ESCOSkills and knowledge areas required for this occupation based on European classification.
Essential
Optional
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