Infocomm TechnologyData and AI

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

Advanced

Thinking Critically

Communication

Advanced

Interacting with Others

Collaboration

Advanced

Interacting with Others

Developing People

Advanced

Interacting with Others

Customer Orientation

Advanced

Interacting with Others

SkillsFuture Skill Levels

3 levels
1

Basic

Recognise and understand fundamental concepts. Apply skills in routine situations with guidance.

2

Intermediate

Apply skills in varied situations independently. Analyse problems and adapt approaches as needed.

3

Advanced

Lead and innovate in complex situations. Evaluate strategies, guide teams, and drive improvements.

Technical Skills & Competencies (TSC) Levels

6 levels
1

Follow

Carry out routine tasks under close supervision. Follow established procedures and guidelines.

2

Assist

Perform tasks with some independence. Assist in non-routine situations and apply established techniques.

3

Apply

Apply skills and knowledge independently in varied situations. Analyse problems and adapt approaches.

4

Analyse

Analyse complex situations and develop solutions. Guide and mentor junior colleagues.

5

Strategise

Set strategic direction and drive innovation. Evaluate trade-offs and make high-impact decisions.

6

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 6

Business Finance

Endorse organisational financial and treasury management policies, systems, budgets and plans

Business Agility

Level 6

Business and Project Management

Establish policies that enable adaptability and foster a culture of business agility in the organisation

Business Continuity

Level 6

Business and Project Management

Define the optimal business continuity strategy and objectives for business continuity and contingency plans

Business Risk Management

Level 6

Business and Project Management

Anticipate emerging threats and potential risks, and define the overarching risk management strategy for the business

Change Management

Level 6

Business and Project Management

Establish the organisation's change management strategy, define key success indicators, and inspire shared commitment to the change

Data Ethics

Level 6

Governance and Compliance

Drive professional, legal and ethical accountability and responsibility within and across organisations

Data Governance

Level 6

Governance 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 6

Strategy 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 6

Design 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 6

Business 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 6

Governance 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 6

Governance and Compliance

Inspire enhancements and redefine IT standards, in line with the evolving landscape and their impact on service expectations

Organisational Analysis

Level 6

Strategy 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 6

Operations 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 6

Governance and Compliance

Review organisation’s quality guidelines against emerging trends and industry best practices, ensuring alignment with company values and objectives

Sustainability Management

Level 6

Business 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 6

Stakeholder 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 6

Business 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 5

Development and Implementation

Oversee and review the effective implementation of the research project within known resource constraints

European Skills Framework

ESCO

Skills and knowledge areas required for this occupation based on European classification.

Career Paths from Chief Data Officer/Chief Artificial Intelligence Officer

Explore related roles in Infocomm Technology that share similar skill requirements.

Will AI Threaten Your Job?

37
Low riskModerate RiskHigh risk

Most at risk

maintain professional recordswrite situation reportsapply information security policies

Most resilient

promote human rightsinternational security studieshear witness accounts
View full AI disruption analysis →

Quick Facts

TrackData and AI
Core Skills5
Technical Skills19
Key Tasks26

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