Job responsibilities:
The role of a Quality Assurance (QA) Manager for a data team involves ensuring the quality, accuracy, and reliability of data-related processes, systems, and deliverables.
Here are the key responsibilities and duties associated with the role:
Quality Assurance Strategy: Develop and implement a comprehensive QA strategy for the data team, aligned with the organization's goals and objectives.
Team Leadership: Lead and manage a team of QA professionals specializing in data testing. Provide guidance, mentorship, and support to ensure a high level of performance and collaboration.
Quality Standards: Define and establish quality standards and processes for data validation, verification, and testing. Ensure adherence to these standards across data-related projects.
Testing Methodologies: Implement effective testing methodologies for various data processes, including data extraction, transformation, loading (ETL), data integration, and data analytics.
Data Quality Metrics: Define and measure key data quality metrics. Monitor and report on the quality of data, identifying areas for improvement.
Collaboration with Data Teams: Work closely with data engineers, data scientists, analysts, and other stakeholders to understand data requirements and design appropriate testing strategies.
Test Planning and Execution: Develop test plans and execute testing activities for data-related projects. This includes functional testing, regression testing, performance testing, and end-to-end testing.
Automation: Implement and oversee the use of automated testing tools and frameworks to increase efficiency and coverage in data testing processes.
Data Governance: Collaborate with data governance teams to ensure that data quality and compliance requirements are met. Implement and enforce data quality standards and policies.
Root Cause Analysis: Conduct root cause analysis for data quality issues and defects. Work with the team to implement corrective and preventive actions.
Documentation: Maintain comprehensive documentation of test cases, test scripts, and testing results. Ensure that documentation is up-to-date and accessible to relevant stakeholders.
Continuous Improvement: Identify opportunities for process optimization and efficiency improvements within the QA function. Foster a culture of continuous improvement.
Communication Skills: Effectively communicate data quality issues, testing progress, and recommendations to both technical and non-technical stakeholders.
Vendor Management: If applicable, manage relationships with external vendors providing testing services or tools related to data quality assurance.
Regulatory Compliance: Ensure that data quality processes comply with relevant industry regulations, data protection laws, and organizational policies.
Training and Development: Support the continuous learning and development of the QA team. Keep the team updated with industry best practices and emerging trends in data quality assurance.
Qualifications
What we are looking for:
• Degree in Computer Science, Computer Engineering or equivalent combination of technical education and experience
• Hands-on QA team management experience
• Consumer software QA experience, preferably in the e-Commerce space
• QA team lead/management experience
• Good understanding of Azure Data Factory
• Strong track record of creating test plans and writing test cases based on product requirements.
• Experience working closely with development and business teams to communicate problem impacts and to understand business requirements
• Self-motivated and takes initiative. Must be comfortable in a startup environment
• Experience in test automation and testing frameworks (preferred)
• Shows creativity and initiative to improve product test coverage and effectiveness (preferred)
• Comfortable communicating cross-functionally and across management levels in formal and informal settings (preferred)
• Experience with web based SAAS platforms (preferred)
• Experience with Mobile App development and Mobile App operating systems (preferred)
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