Jobs in Data Quality are automated workflows that handle essential tasks like profiling, validation, and cleansing of data. Profiling analyzes data to understand its structure and quality, while validation checks data against set rules to ensure accuracy. Cleansing corrects or removes inaccurate data to improve quality. These jobs allow users to configure specific parameters, schedule regular runs, and execute processes efficiently, ensuring consistent and accurate results across datasets. This automation is vital for maintaining data integrity and supporting informed business decisions.