AI Governance and Risk Management
• Support the development, maintenance and implementation of AI governance policies, guidelines, processes and procedures.
• Assist in documenting AI use cases, AI-enabled solutions, systems, models, owners and implementation activities.
• Help maintain an organised inventory of AI initiatives and related governance documentation.
• Support AI risk assessment activities by gathering information and helping identify potential privacy, security, compliance, operational, reputational and business risks.
• Assist in tracking governance actions, recommendations, decisions and remediation activities.
• Research relevant AI developments, emerging practices and industry trends under the guidance of the Governance & Innovation Lead.
• Prepare reports, dashboards, presentations, status updates and other governance materials for stakeholders.
Responsible AI and Compliance Support
• Support reviews aligned with Responsible AI principles, including fairness, transparency, accountability, privacy, reliability, safety and security.
• Assist project teams in gathering and organising information required for AI solution reviews and internal approvals.
• Help maintain accurate records and supporting documentation for AI initiatives.
• Assist in evaluating AI-enabled solutions against internal policies, business requirements and agreed review criteria.
• Support audit-readiness activities, document control, evidence collection and governance record keeping.
• Track follow-up actions arising from reviews and help coordinate completion with relevant stakeholders.
• Contribute to practical guidance, checklists, templates and awareness materials that make responsible AI practices easier to understand and apply.
Innovation and AI Enablement
• Research emerging AI technologies, capabilities, trends, tools and enterprise use cases.
• Identify opportunities to improve business processes, employee experiences or service delivery through AI and automation.
• Support the evaluation and prioritisation of potential AI use cases based on business value, feasibility, risk and user needs.
• Assist with proof-of-concept initiatives, pilots, experiments and other innovation projects.
• Help document objectives, assumptions, outcomes, lessons learned and recommendations from AI experiments.
• Support the responsible use of Generative AI and other AI-enabled tools across the organisation.
• Assist in organising AI demonstrations, workshops, knowledge-sharing sessions and awareness programmes.
• Contribute ideas that help the organisation adopt AI safely, responsibly and effectively.
Data, Reporting and Insights
• Collect and organise information from AI governance and innovation activities.
• Support the development and maintenance of trackers, dashboards and status reports.
• Analyse basic data to identify trends, outstanding actions, common risks and improvement opportunities.
• Help translate research and analysis into concise, practical and audience-appropriate insights.
• Perform quality checks to improve the accuracy, consistency and completeness of governance records and reports.
Stakeholder Engagement and Project Coordination
• Collaborate with technology, information security, legal, compliance, risk, data and business teams.
• Support meeting preparation, agenda development, note taking, action tracking and follow-up activities.
• Coordinate inputs from stakeholders for governance reviews, risk assessments, presentations and reports.
• Contribute to communication materials that promote awareness and responsible adoption of AI.
• Assist with the coordination of governance, innovation and change-management activities.
• Communicate progress, issues, dependencies and support needs clearly and professionally.
• Handle business and governance information with appropriate care and confidentiality.
• AI use-case inventory and supporting governance records.
• Risk-assessment inputs, review checklists and action trackers.
• Governance reports, dashboards, presentations and stakeholder updates.
• Research summaries on emerging AI technologies, trends and enterprise use cases.
• Proof-of-concept documentation, lessons learned and recommendations.
• Workshop, awareness and knowledge-sharing materials.
• Accurate meeting records, decision logs and follow-up actions.