Operation Mgmt Administrator

We are looking for an intern to join us in our AI Governance team.

Key Responsibilities:

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.

Key Deliverables

. 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.

Qualifications and Experience

Essential

. Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Business Analytics, Cybersecurity, Risk Management, Business, Engineering, Law, Public Policy or a related discipline.

. Strong interest in artificial intelligence, Responsible AI, innovation, governance, risk management, compliance or business transformation.

. Good analytical, research and problem-solving skills.

. Strong written and verbal communication skills.

. Ability to organise information and present findings clearly.

. Attention to detail and commitment to producing accurate, high-quality work.

. Proficiency in Microsoft 365 applications, particularly Excel, PowerPoint, Word and Teams.

. Ability to learn quickly, take initiative, manage assigned tasks and meet agreed deadlines.

. Ability to work independently while contributing effectively in a collaborative, cross-functional environment.

. Willingness to receive feedback and develop new technical, business and professional skills.

Preferred

. Familiarity with Generative AI tools, AI-enabled applications or automation technologies.

. General understanding of AI concepts, capabilities, limitations and business applications.

. Experience using AI tools for research, productivity, analysis or content development.

. Experience with data analysis, reporting, visualisation or dashboarding tools such as Power BI.

. Exposure to process mapping, business analysis, project coordination, risk assessment or documentation activities.

. Participation in academic, personal, internship or extracurricular projects involving AI, data, automation, cybersecurity, digital transformation or innovation.

. Experience preparing reports, presentations, research summaries or recommendations for different audiences.

. Interest in learning how organisations evaluate, implement, monitor and improve AI-enabled solutions.

What You Will Gain

. Hands-on experience supporting enterprise AI governance and Responsible AI initiatives.

. Exposure to AI strategy, innovation, risk management, compliance and business transformation activities.

. Practical understanding of how organisations identify, evaluate, approve, monitor and improve AI use cases.

. Experience working with business, technology, security, legal, compliance and risk stakeholders.

. Opportunities to contribute to AI proof-of-concept initiatives and innovation programmes.

. Experience researching and evaluating emerging AI technologies and business applications.

. Development of professional skills in analysis, communication, stakeholder engagement, reporting and project coordination.

. Greater understanding of the opportunities, limitations and risks associated with enterprise AI adoption.

. Opportunities to learn from leaders and subject-matter experts involved in AI adoption and governance.

Core Competencies

. Curiosity about AI and its impact on organisations.

. Ability to research unfamiliar topics and convert information into practical insights.

. Clear communication with technical and non-technical stakeholders.

. Strong organisation, prioritisation and attention to detail.

. Proactive, dependable and collaborative working style.

. Commitment to responsible AI adoption and business value creation.

. Ability to handle sensitive information appropriately.

Success Measures

. Timely and accurate completion of assigned governance, research, reporting and project-coordination activities.

. Quality, clarity and completeness of documentation, analysis, presentations and recommendations.

. Effective support of AI reviews, risk assessments, innovation projects and follow-up activities.

. Accurate maintenance of AI use-case records, trackers, action logs and governance materials.

. Meaningful contribution to AI awareness, education, adoption and innovation initiatives.

. Effective collaboration and communication with internal stakeholders.

. Ability to apply feedback, demonstrate initiative and take increasing ownership of assigned responsibilities.

. Demonstrated growth in understanding Responsible AI principles, enterprise AI adoption and business transformation practices.