Data QA Lead - AI

<strong>Job Title:</strong> <strong>Data QA Lead – AI exp<br><br></strong><strong>Location:</strong> <strong>San Ramon, CA<br><br>Duration: 12+ Months<br><br></strong><strong>Role Overview<br><br></strong>We are seeking an experienced Data QA Lead with strong expertise in Data Testing, AI/ML validation, and enterprise data quality initiatives. The ideal candidate will lead QA efforts for large-scale data platforms, AI-driven applications, and cloud-based analytics solutions while ensuring data accuracy, integrity, and reliability across complex ecosystems.<br><br>Key responsibilities include defining QA strategy, developing test plans, validating ETL/ELT pipelines, performing data reconciliation, and ensuring data quality across structured and unstructured datasets. The candidate should have hands-on experience validating AI/ML models, feature engineering datasets, model outputs, and data pipelines supporting predictive analytics and Generative AI use cases.<br><br>The role requires strong expertise in SQL, data warehousing, API testing, automation frameworks, and cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Experience with big data technologies, PySpark/Spark, metadata validation, and data governance concepts is highly preferred.<br><br>The candidate will collaborate closely with Data Engineers, Data Scientists, Architects, Product Owners, and Business teams to support end-to-end testing activities including SIT, UAT, regression testing, and production validation within Agile delivery environments. Strong analytical, troubleshooting, and communication skills are required.<br><br>Skills: data qa lead,artificial intelligence,data quality