VP of Data Quality Assurance

4 weeks ago

Charlotte, North Carolina, United States AIG Full time
About the Role

AIG is seeking a highly skilled VP Application Testing and Quality Engineering leader to join our team. As a key member of our organization, you will be responsible for leading a team of data quality engineers and developing strategies to ensure the accuracy, reliability, and integrity of our data assets.

Key Responsibilities:

  • Develop and implement testing strategies, methodologies, and best practices to ensure data quality and integrity.
  • Define testing goals and objectives in alignment with data quality governance.
  • Create detailed test plans, including test scope, objectives, resource planning, and schedules.
  • Review and guide teams in designing test cases, scenarios, and automation scripts to validate data accuracy and integrity.
  • Lead the testing team in executing data quality tests according to defined plans.
  • Report any deviations or risks to leadership with detailed information.
  • Ensure the team performs high-quality data validation, reconciliation, and data transformation testing.
  • Work with 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.
  • Collaborate with data engineers, data analysts, and data stewards to understand data structures and relationships.
  • Work closely with business analysts to understand data requirements and use cases.
  • Coordinate testing efforts across cross-functional teams to ensure comprehensive coverage.
  • Generate test summaries, execution reports, and metrics to communicate testing results.
  • Provide actionable insights to stakeholders based on test findings.
  • Contribute to continuous improvement efforts to 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 established processes and standards.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field (Master's preferred).
  • 10+ years of experience in data quality testing and quality assurance roles.
  • Proficiency in data validation, SQL, ETL processes, and data transformation.
  • 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.
  • AWS Certified Data Analytics, IBM - Data Science/Analyst Professional, and/or SNOWPRO certifications are a plus.

This is a unique opportunity to join a leading global insurance organization and contribute to maintaining the highest standards of data quality across various business processes.

AIG is an equal opportunity employer and welcomes applications from diverse candidates.

We offer a range of employee benefits and resources to support your health, wellbeing, and career development.

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