Job
Description
We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 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. Key Responsibilities Design and implement data quality frameworks and metrics for large-scale datasets, especially those used in AI/ML models. Skill Set: Talend or Informatica ETL tool, Sql, Python ,Power BI, oracle, Databricks, Informatica Data quality tool Collaborate with data scientists and machine learning engineers to validate training data and ensure its integrity. Develop automated data validation scripts, profiling tools, and dashboards to monitor data quality in real time. Investigate and resolve data anomalies, inconsistencies, and quality issues at the source. Lead root cause analysis efforts and recommend long-term solutions for recurring data quality issues. Document and maintain data dictionaries, lineage, and quality rules for AI-relevant data assets. Contribute to the creation and enforcement of data governance policies and best practices. Partner with stakeholders to understand data requirements and translate them into quality specifications. Stay up to date with trends in data quality, AI ethics, and data governance, and bring innovative practices to the team. Experience range - 5 to 8 Yrs, with a Bachelor/Master's degree 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. Show more Show less
