Manager QA Automation Lead Data Analytics Advisory
Posted May 7, 2026
In the role of a Data and Analytics Engineering Manager at PwC, you will be focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your main responsibility will be transforming raw data into actionable insights to enable informed decision-making and drive business growth. Specifically, you will be designing and building data infrastructure and systems to facilitate efficient data processing and analysis. This will involve developing and implementing data pipelines, data integration, and data transformation solutions. Responsibilities:
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Define and lead test strategies for data-intensive systems, ensuring alignment with quality and compliance goals. - Design and implement scalable automation frameworks for ETL/ELT pipelines and cloud-based data platforms. - Guide a team of QA engineers, driving best practices in test automation, data validation, and performance testing. - Integrate automated tests into CI/CD workflows using tools like Jenkins, GitHub Actions, or Azure DevOps. - Collaborate with engineering, data, and business teams in Agile environments to ensure quality across the development lifecycle. - Report key QA metrics and provide risk-based recommendations for release readiness. - Stay current with testing trends, including AI-powered automation tools. Qualifications Required:
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Years of experience: 8-12. - Education qualification: B.Tech / M.Tech / MBA / MCA. - Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering. Responsibilities: