QA & Testing Lead Analyst

About Cigna

Cigna Healthcare exists to improve lives. Together with our global workforce we are committed to making healthcare more affordable predictable and simple. As part of our continued growth and transformation we are investing in modern Quality Engineering practices automation and AI enabled testing capabilities to support the delivery of high quality digital solutions for our customers.

The Position

We are looking for an experienced Data Services Test Lead to provide technical leadership and oversight of Data Testing activities across Data Services teams.

This role will act as the Data Testing subject matter expert across Data Services providing guidance on ETL Testing test automation test strategy and quality assurance practices. The role will work closely with Data Testers across multiple Data Services teams to promote consistent testing approaches review testing and automation practices challenge ineffective approaches and help resolve complex Data Testing and Data Quality issues.

A key focus of the role is ensuring robust end to end validation of data throughout the full data lifecycle helping teams strengthen testing practices and increase confidence in the accuracy integrity and reliability of data solutions.

Key Responsibilities

• Review and challenge testing strategies requirements coverage test coverage and testing approaches to ensure appropriate validation of source data transformation logic integrations business rules and downstream impacts.
• Provide technical leadership guidance and support to Data Testers and stakeholders on Data Testing approaches ETL testing practices quality controls tooling automation and industry best practices.
• Support teams in resolving complex Data Testing and Data Quality challenges across ETL Data Integration Data Warehousing Data Migration Reporting and Analytics solutions.
• Establish and promote standards for end-to-end data flow testing source to target validation data reconciliation data integrity verification and regression testing.
• Perform detailed reviews of ETL testing approaches SQL validation techniques source to target mappings reconciliation methods and automation solutions to ensure effective and consistent testing practices across Data Services teams.
• Establish standards for source to target mapping reviews test data validation and end to end data integrity verification across Data Services solutions.
• Drive adoption of Data Testing automation automated reconciliation and modern quality engineering practices to improve testing effectiveness and efficiency.
• Conduct technical reviews of testing approaches test evidence automation solutions reconciliation controls and quality checks to identify risks gaps and opportunities to improve Data Testing effectiveness.
• Establish standards for defect management root cause analysis defect reporting and continuous improvement activities.
• Build strong relationships with Product Owners Engineering Leads Architects Scrum Masters and business stakeholders to understand priorities address risks and improve quality outcomes.

Required Skills and Experience

• Extensive experience leading ETL Data Integration Data Warehouse and Data Platform testing activities.
• Extensive experience in Data Testing ETL Testing Data Quality or Data Quality Engineering roles.
• Experience validating ETL processes source to target mappings transformation logic data reconciliation business rules and end to end data flows including transaction level validation and downstream system verification.
• Strong SQL skills with experience performing complex data analysis validation reconciliation troubleshooting and root cause analysis.
• Experience testing Data Warehousing Data Integration Data Migration Reporting Analytics and Data Platform solutions.
• Experience reviewing and challenging testing approaches to ensure adequate coverage of data transformations integrations downstream impacts quality controls and business risks.
• Strong understanding of data lineage data integrity controls transaction level validation and end to end data validation principles.
• Strong understanding of Data Testing methodologies Data Quality frameworks and Quality Engineering best practices.
• Experience driving Data Testing automation automated reconciliation and quality improvement initiatives.
• Experience defining and implementing Data Testing standards frameworks and technical best practices across multiple delivery teams.
• Experience supporting multiple Agile delivery teams and influencing quality outcomes across complex delivery environments.
• Strong stakeholder management communication facilitation and influencing skills.
• Strong analytical problem solving risk management and continuous improvement mindset.

Desirable Skills and Experience

• Experience working within Healthcare Insurance Financial Services or other regulated industries.
• Experience with cloud data platforms and technologies such as Azure Data Factory Databricks Snowflake Synapse Informatica Talend DataStage dbt or similar solutions.
• Experience with Data Testing automation frameworks quality engineering practices and CI/CD pipelines.
• Experience evaluating emerging technologies innovation initiatives and Proof of Concepts.
• Experience leveraging AI enabled solutions to improve Data Testing analysis reporting or Quality Engineering practices.
• Professional certifications in Data Quality Data Management Quality Engineering Testing Agile or related disciplines.
• Certifications or recognised training in Artificial Intelligence Generative AI Microsoft Copilot Azure AI AWS AI or related AI technologies.

About The Cigna Group