Operation Mgmt Administrator
Why Work at Lenovo
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Description and Requirements
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.

