Trade Compliance Data & AI Analyst - (Full time)

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

Description and Requirements

About the role: Lenovo is seeking a Trade Compliance Specialist, with an AI and Data Analytics background to support the North America team. You will play a crucial role in supporting efficient and compliant trade operations for Lenovo. This role is mapped to Lenovo's US Global Headquarters in Morrisville, NC (Raleigh/Durham area) with the expectation that work is performed in a hybrid setting (3 days in office; 2 days remote).

Updated Requirements:

Role Overview:

• Implement and develop AI & Data Analytics programs within Lenovo's Global Supply Chain Trade Compliance Team.
• Take on key projects within Trade Compliance and apply learned data analytic skills and ML models to enhance effectiveness
• Bridge the gap between raw data and actionable intelligence, from data cleaning to exploratory analysis and deployment of ML models
• Learn the overall guidelines of Global Trade Compliance and how it effects Supply Chain operations within Legal guidance

Key Responsibilities:

• AI/Data Analytics: Clean, preprocess, and transform large-scale datasets into high-quality analysis and model training
• Data Visualization: Design and maintain dashboards (Power BI) to make complex findings easily digestible for non-technical stakeholders
• Digital Liaison: Work directly with our Digital Office (IT) and be the project liaison with Trade Compliance
• Trade Compliance Documentation: Review and validate documentation for compliance and operational accuracy
• Monitor Regulatory Updates: Monitor and assess regulatory changes impacting business operations
• Risk Mitigation: Conduct investigations to minimize legal and operational risks
• Communication & Coordination: Effectively convey regulatory and tariff changes to internal stakeholders and customs brokers, ensuring accurate implementation

Basic Qualifications:

• A bachelor's or master's degree in international business, Supply Chain Management, Business Administration, Data Science or related field
• Strong analytical skills: attention to detail and driven attitude to take ownership and deliver on commitments
• Excellent communication skills, with the ability to clearly convey complex regulatory and operational information to diverse internal and external stakeholders
• Experience working with data through coursework, projects, or internships - including cleaning, organizing, and analyzing datasets
• Familiarity with analytics or data science tools (e.g., Python, SQL, or similar) to support insights or model development
• Experience creating dashboards or visual reports, preferably using Power BI or similar tools
• Ability to turn data into clear visuals and stories that nontechnical audiences can easily understand
• NO Visa Sponsorship: Applicants must be authorized to work in the U.S. for any employer. We are unable to sponsor work visas for this position.

Preferred Qualifications:

• 0-2 years' experience (internships or projects) with use-cases highlighting advanced knowledge of AI and data analytics
• Experience coordinating with supply chain and customs departments to facilitate compliant global trade operations and effective tariff management
• Innovative data-driven mindset with the ability to streamline processes and adapt to evolving regulatory landscapes
• Ability to collaborate and work across functional groups