ValueMomentum
At ValueMomentum Technology Solution Centers, we are a team of passionate software engineering teams who thrive on tackling complex business challenges with innovative solutions catering to P&C insurance value chain. We achieve this through a strong software engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance .
As the Data Testing QA Lead, you will be responsible for leading and managing the data quality assurance efforts across multiple projects. You will design, implement, and oversee comprehensive data testing strategies to ensure the accuracy, integrity, and reliability of data within our software solutions. The ideal candidate will have extensive experience in data testing, a deep understanding of P&C insurance data, and strong leadership skills.
Key Responsibilities:
Lead and manage a team of data QA engineers, providing guidance, support, and mentorship to ensure high performance and professional development.
Coordinate and prioritize data testing activities across multiple projects, ensuring effective utilization of resources and timely delivery of QA deliverables.
Develop and implement comprehensive data testing strategies and methodologies to ensure the accuracy, integrity, and reliability of data within P&C insurance software solutions.
Define data quality metrics and KPIs to measure and report on the effectiveness of data QA processes and continuously improve testing practices.
Design detailed test plans, test cases, and test scenarios for data validation, covering all aspects of data completeness, correctness, and consistency.
Oversee the execution of data testing activities, including both manual and automated tests, to ensure thorough test coverage and adherence to quality standards.
Lead the development, maintenance, and enhancement of automated test scripts and frameworks for data validation, leveraging appropriate tools and technologies.
Implement and manage data quality assurance tools and frameworks to streamline testing processes, improve efficiency, and increase test coverage.
Oversee the testing of ETL processes to validate data extraction, transformation, and loading procedures, ensuring the integrity and accuracy of data flows.
Collaborate with data engineering teams to ensure that data flows correctly through various stages of the ETL pipeline and meets predefined quality standards.
Work closely with development teams to prioritize and resolve data-related defects promptly, ensuring timely resolution and minimal impact on project timelines.
Communicate effectively with project stakeholders to provide updates on data testing progress, findings, and recommendations, and address any concerns or issues that arise.
Required Skills & Experience:
Bachelors degree in computer science, Information Technology, Software Engineering, or a related field.
10+ years of experience in software quality assurance, with a focus on data testing and validation.
Proven track record of leading and managing QA teams and data-intensive projects in the P&C insurance domain or a related industry.
Deep understanding of Property and Casualty (P&C) insurance data models, workflows, regulatory requirements, and industry standards.
Expertise in writing and executing complex SQL queries for data retrieval, manipulation, and validation in relational databases like MySQL, SQL Server, Oracle, or PostgreSQL.
Proficiency in data analysis using tools such as Python, R, or similar scripting languages.
Strong understanding of ETL processes and experience with ETL tools such as Informatica, Talend, or Microsoft SSIS.
Advanced skills in developing and maintaining automated test scripts using tools such as Selenium, JUnit, or custom Python/R scripts for data validation.
Experience in identifying, documenting, and tracking data quality issues and defects. Ability to work collaboratively with development teams to resolve defects promptly.
Proven experience in leading and mentoring QA teams, providing guidance and support to ensure high performance and professional development.
What you need to have Strong understanding of regression testing techniques and practices.
Solid knowledge of test management tools such as HP ALM, Jira, ADO, Rally or similar.
Proven leadership skills to guide and mentor a team of QA engineers. Ability to lead UAT efforts and ensure alignment with project goals.
Familiarity with various SDLC methodologies, including Agile, Scrum, and Waterfall, and how they impact UAT.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Strong analytical and critical thinking skills, with a keen diligence.
Experience working in Agile environment following Onsite Offshore mode.
About ValueMomentum
ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry.