Quality Specialist, SFMC

Role Overview: As an Execution QA at Novartis, you will be responsible for comprehensively reviewing rendering quality, Metadata, and Content Matrices accuracy. You will collaborate with the customer to understand key campaign parameters, develop testing approaches, perform Segmentation and Deployment QA, review email build and deployment processes, oversee subscriber data import and segmentation, configure deployment settings, and ensure continuous updating of QA documentation and resources. Key Responsibilities: - Collaborate with the customer to understand key campaign parameters such as subscriber audience, program frequency, degree of personalization, and overall creative approach. - Develop appropriate, campaigns execution-specific testing approaches. - Perform Segmentation and Deployment QA. - Review the overall email build, and deployment processes to ensure optimal quality. - Oversee subscriber data import and segmentation for dynamic content and personalization. - Configure deployment settings, including subject lines, audience selection, and scheduling settings. - Ensure continuous updating of QA documentation, automated tools, and other resources. Qualification Required: - Overall, 3+ years of hands-on experience in Quality Assurance (QA), especially within SFMC Campaigns with Email Specialist certification required. - Strong understanding in segmentation, Data Extensions configuration, AMPscript, and modules like Automation Studio, Journey Builder, Contact Builder, SMS, and Web Studio with HTML, CSS, JavaScript. - Proficiency in testing tools such as Litmus or Email on Acid for email rendering. - Good knowledge of SQL or other query languages for data validation and segmentation. - Strong problem-solving and analytical skills. - Excellent communication and collaboration skills. - Ability to work under tight deadlines and manage multiple projects simultaneously. - Familiarity with GDPR and other data protection regulations. - Proficiency in marketing automation tools and analytics platforms. - Understanding the complexity of integrated working in a matrix and geographically dispersed environment. - Good understanding of the pharmaceutical commercial data landscape and commercial processes. - Familiarity with and adaptability to new-generation technologies and trends (Gen AI and Agentic AI) is an added advantage. - BTech / Masters in Technology or Masters in Business Administration.,