Data Quality Assurance Manager
2 weeks ago
NeerInfo Solutions is seeking an experienced Data Quality Assurance Manager to lead our testing efforts for complex data-driven products.
We offer a competitive salary of $**120,000 - $180,000 per year**, depending on experience and qualifications.
About the Role:
The ideal candidate will have around 15 years of experience leading testing efforts for large-scale, distributed data systems. The successful candidate will play a pivotal role in ensuring the quality of our Data-to-Decision tool by developing comprehensive test strategies covering ETL processes, machine learning models, and artificial intelligence algorithms.
Key Responsibilities:
- Lead Testing for Data-to-Decision Tool: Understand and map the end-to-end use cases for data-to-decision workflows, develop comprehensive test strategies, and work closely with product managers and solution architects to ensure test scenarios align with real-world data processing and decision-making requirements.
- End-to-End Testing Expertise: Design and execute test cases for all product layers, including data pipelines (ETL), ML/AI algorithms, and decision intelligence features, validate large-scale data transformations, and ensure data integrity, consistency, and correctness across the pipeline.
- Domain Knowledge: Demonstrate a deep understanding of various industry domains, including Retail, Manufacturing, BFSI, and other verticals, collaborate with industry experts to ensure test cases and use case scenarios reflect the specific needs of each domain.
- Team Leadership: Lead and mentor a team of over 15 testers, ensuring high standards in test execution, automation, and quality assurance, foster a collaborative and agile working environment while ensuring the team meets deadlines and quality benchmarks.
- Competitor Analysis & Product Benchmarking: Stay updated with competitor tools in the data-to-decision space, lead benchmarking initiatives to compare features, performance, and scalability of our product against competitor products, and use insights gained from competitor analysis to enhance the testing strategy and provide recommendations for product improvement.
- Cross-functional Collaboration: Work closely with Product Owners, Engineering Leads, and Leadership teams to define the scope and areas of improvement in the testing framework, provide detailed functional and technical feedback, identifying gaps and opportunities for enhancing the quality of ETL, AI, and ML features.
- Continuous Improvement: Implement best practices in test automation across data, AI, and ML domains, continuously improve functional testing methodologies and processes to ensure efficiency and effectiveness, and drive innovation in testing by implementing AI/ML-based testing tools and techniques.
Required Skills and Qualifications:
- Bachelor's or master's degree in computer science, Information Technology, or a related field from a reputed institution.
- Extensive knowledge of ETL processes, AI/ML systems, Semantic layers, and decision intelligence frameworks.
- In-depth knowledge of cloud platforms like AWS, Azure, and GCP with experience in testing cloud-native applications.
- Excellent leadership abilities with experience managing cross-functional teams.
- Advanced certifications in product testing, AI/ML testing, and data engineering are a plus.
- Familiarity with Agile and DevOps practices in testing, with a focus on continuous integration and delivery.
- Prior experience in testing large-scale, distributed data systems, and ensuring compliance with data security and privacy regulations.
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