The Head of Data establishes the organisation's data strategy and framework, fostering a culture of compliance to data privacy regulations. S/He is accountable for the quality, accessibility, analysis and management of data to inform business strategy, decision-making and drive performance. S/He designs initiatives and programs to realise the optimal business value derivable from the organisation's data assets. S/He formulates data project prioritisation and resourcing strategies and establishes performance measures to evaluate outcomes data solutions. S/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 solutions. S/He creates a shared vision and objectives on the use of data in the organisation, building strategic relationships with key business and industry stakeholders to achieve business goals.
RESPONSIBILITIES:
1. Establish data strategy:
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
2. Optimize 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
3. Formulate objectives and requirements from a business perspective
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
4. 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
5. Build strategic relationships
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
6. Develop organisation's data capabilities
Develop strategies and plans to build capabilities within the Data and Artificial Intelligence function
Drive talent management initiatives to attract, motivate and retain talent for Data Science and 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 Data and Artificial Intelligence function
7. Establish BI standards and governance
Develop standards, policies and procedures for the form, structure and attributes of the BI tools and systems
Create long-term data governance initiatives that serve to improve data quality across all systems over time
Provide guidance on best practices related to BI data governance
8. Manage operations and BI resources
Review operational strategies, policies and targets across teams and projects
Develop strategies for resource planning and utilization
Establish performance indicators to benchmark effectiveness of learning and development programs against best practices
Implement succession planning initiatives for key management positions
9. Manage people and organization
Review operational strategies, policies and targets across teams and projects
Develop strategies for resource planning and utilization
Review the utilization of resources
Oversee the development of learning roadmaps for teams and functions
Establish performance indicators to benchmark effectiveness of learning and development programmes against best practices
Implement succession planning initiatives for key management positions
Job Requirement
Bachelor Degree with relevant background
10 years of experience in a similar position
Excellent verbal and written communication skills, along with presentation skills.
