Delivery Quality Lead – GenAI
| Company | American International Group |
|---|---|
| Location | Charlotte, NC, USA, Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s / Master’s degree in Computer Science, Information Technology, or related field (Master’s preferred).
- 8+ years experience in data quality testing and quality assurance roles.
- Strong automation experience using automation frameworks and hands on experience with Selenium, Cucumber.
- Working experience on building technology solutions leveraging GenAI
- Strong understanding of data quality frameworks and best practices.
- Familiarity with data profiling, data cleansing, and data enrichment techniques.
- Excellent analytical and problem-solving abilities.
- Effective communication and interpersonal skills.
- Leadership experience and the ability to lead and motivate a team.
- Knowledge in Snowflake, ETL tools, Python, AWS preferred.
- DevOps Tools and process knowledge.
- Any experience in testing GenAI.
- Knowledge on prompt engineering
- Strong understanding of SAFe Agile and QA methodologies.
- Excellent communication and leadership skills.
Responsibilities
- Develop and implement testing strategies, methodologies and best practices catered towards GEN AI and traditional AI technologies.
- Implementation of GenAI solution to improve testing strategies and plan.
- Create detailed test plans, including test scope, objective, resource planning and schedules.
- Review designing test cases, scenarios and automation scripts to validate data accuracy and integrity. Identify and prioritize critical data elements for testing.
- Lead the testing team in executing data quality tests according to defined plans.
- Report any deviations / risks to the leadership with right details.
- Ensuring that the team performs high quality data validation, reconciliation, and data transformation testing.
- Work with the teams to document defects, inconsistencies, and anomalies in data sets.
- Evaluate opportunities for test automation to enhance testing efficiency.
- Implement and maintain automated testing scripts and frameworks.
- Monitor automated test execution and analyze results for accuracy.
- Work closely with data engineers, data analysts, and data stewards to understand data structures and relationships.
- Develop and manage test artifacts, metrics and reports for QA activity to align to executive communication needs.
- Identify and document key risk items related to quality and present to program.
- Collaborate with business analysts to understand data requirements and use cases.
- Coordinate testing efforts across cross-functional teams to ensure comprehensive coverage.
- Generate test summary, execution reports and metrics to communicate testing results.
- Provide actionable insights to stakeholders based on test findings.
- Contribute to continuous improvement efforts that will enhance data quality processes.
- Identify areas for process improvement in data quality testing.
- Implement measures to prevent data quality issues and ensure proactive detection.
- Enhance testing methodologies based on lessons learned and industry standards.
- Manage and mentor a team of data quality testers and analysts.
- Provide guidance, training, and performance evaluations for team members.
- Foster a collaborative and innovative work environment.
- Work closely with the DevOps, compliance, audit and engineering teams to adhere to the established process and standards.
Preferred Qualifications
- Knowledge in Snowflake, ETL tools, Python, AWS preferred.
- Any experience in testing GenAI.
- Knowledge on prompt engineering.