Lenovo

Job Responsibilities

Data Management & Processing

• Collect, validate, and maintain service-related data from multiple systems and sources (CRM, ERP, service platforms, AI tools).
• Ensure data accuracy, consistency, and completeness across databases and reporting layers.
• Perform regular data cleaning, transformation, and deduplication to maintain high data quality standards.
• Support data pipelines and data models used for analytics, automation, and AI applications.

Reporting & Analytics

• Produce routine and ad-hoc reports on service performance, KPIs, operational efficiency, and regional trends.
• Analyze service and order data to identify root causes, inefficiencies, risks, and improvement opportunities.
• Develop dashboards and visualizations using BI tools to communicate insights effectively to stakeholders.
• Support data-driven decision-making for service operations and regional management.

AI Enablement, Architecture & Maintenance

• Support the design, implementation, and maintenance of AI-enabled solutions (e.g. predictive analytics, intelligent reporting, workflow automation, AI copilots).
• Collaborate with IT, data, and business teams to align AI solutions with enterprise data architecture and security standards.
• Help maintain AI models, data inputs, and performance metrics, including monitoring data quality and model outputs.
• Identify opportunities to apply AI techniques (machine learning, automation, natural language processing, etc.) to improve service efficiency, forecasting, and operational decision-making.
• Assist in AI solution lifecycle activities, including testing, deployment support, documentation, and continuous optimization.

Process Optimization & Automation

• Work with cross-functional teams to streamline data workflows and service processes.
• Recommend and support automation initiatives to reduce manual effort and improve accuracy.
• Assist in integrating new tools, platforms, and AI capabilities into existing systems and processes.
• Support standardization and best practices for data, reporting, and AI usage across the AP region.

Customer & Service Support

• Support resolution of data- or system-related issues impacting service delivery and customer experience.
• Provide data-driven insights to service and operations teams to improve customer satisfaction.
• Work closely with service teams to ensure accurate data capture, tracking, and reporting throughout the service lifecycle.

Order Management & Fulfillment

• Execute end-to-end order management and fulfillment for all ISG service parts orders received in the AP region.
• Ensure service orders are processed accurately, timely, and in compliance with internal controls and regional requirements.
• Coordinate with internal stakeholders to resolve order-related issues and data discrepancies.

Job Requirements

Education

• Major in Data Science, Business Analytics, Information Systems, Computer Science, or a related field.
• Overseas education background or international work experience is preferred.

Experience

• Minimum 2 years of experience in data analysis, data operations, business intelligence, AI operations, or similar roles.
• Experience in a service-oriented, operations, or supply chain environment is a plus.

Technical Skills

• Solid understanding of AI concepts, data architecture, and system integration.
• Proficient in SQL, Excel (Power Query, macros), Power BI.
• Experience with scripting or programming languages such as Python or R.
• Familiarity with automation, analytics platforms, or AI tools is preferred.

Core Competencies

• Strong analytical and problem-solving skills with high attention to detail and data accuracy.
• Ability to work cross-functionally in an international, matrixed organization.
• Able to manage multiple priorities independently in a fast-paced environment.
• Excellent written and verbal communication skills in English (working language).

Equal Opportunity Statement
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, disability, or any other legally protected status.