Customer Quality Manager
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements
What you will do:
- Serve as a key point of contact for customer quality requests, ensuring timely, accurate, and data-driven responses to customer inquiries and concerns.
- Extract, validate, analyze, and interpret quality data from multiple sources to identify performance trends, recurring issues, anomalies, and areas requiring further investigation.
- Translate complex quality and technical information into clear, actionable insights and professional customer-facing presentations tailored to both technical and business audiences, and present findings to customers when required.
- Partner with engineering, quality, service, manufacturing, and other cross-functional teams to analyze quality concerns, understand the relevant technical context, and ensure conclusions and customer communications are supported by appropriate data and evidence.
- Develop strong knowledge of products, technologies, quality processes, analytical tools, and data environments, quickly adapting to new topics and navigating complex information to support effective analysis and problem-solving.
What you need to bring:
- Strong data analysis and interpretation skills, with the ability to identify trends, anomalies, correlations, and key quality drivers within complex datasets.
- Advanced proficiency in Microsoft Excel, including data manipulation and analysis, pivot tables, charts, and the development of clear, professional data visualizations.
- Working knowledge of Power BI, Qlik, or comparable business intelligence and data visualization tools for data exploration, visualization, and reporting.
- Ability to transform raw data into meaningful insights, effective graphics, and customer-ready quality narratives.
- Strong attention to detail, with a focus on data accuracy, validation, and consistency before information is communicated.
- Strong general technical aptitude, with the ability to understand product and technology concepts, quality metrics, and technical information sufficiently to interpret data and communicate findings effectively.
- Independent and proactive analytical mindset, with the ability to explore data beyond the initial request, identify relevant questions, recognize patterns or inconsistencies, and develop fact-based conclusions with limited guidance.
- Fast learner, able to quickly become proficient with new data sources, analytical tools, systems, and technical concepts.
- Strong written and verbal communication skills, with the ability to explain complex data and technical findings clearly to both technical and non-technical audiences.
- Ability to develop polished customer-facing presentations and confidently present analyses and findings when required.
Preferred Qualifications & Skills
- SQL skills, with the ability to query and extract data from databases for analysis and reporting.
- Experience in customer quality, quality engineering, product quality, service analytics, data analytics, or a related function.
- Familiarity with quality analysis methodologies such as trend analysis, Pareto analysis, failure analysis, and root-cause analysis.
- Experience working with large or complex datasets from multiple data sources.
- Experience working in a cross-functional environment and collaborating with engineering, quality, service, manufacturing, or other technical teams.
What Lenovo Can Offer You
Compensation & Rewards
- Performance-based salary reviews and annual bonuses
- Meal tickets, service anniversary awards, and referral bonuses
- Employee share purchase program
- Scholarships for employees’ children
Health & Well-being
- Fully covered private medical insurance
- Annual well-being allowance for sports, training, relaxation, and therapy ,and nd on-site chair massage
- Life & accident insurance with extra medical coverage
- Employee Assistance Program
Training & Development
- Technical Ladder & Sales Excellence programs
- Individual Career Development Plans with mentoring
- Bookster subscription for continuous learning
Time Away
- 21–28 vacation days depending on tenure
- Sick days and extra paid leave for public holidays on weekends
- Additional paid leave for employees with children
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
AI PROCESSING NOTICE
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.