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Testing Senior Group Manager

https://www.citi.com/ Logo

Citi

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Location:
United States , Rutherford

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Contract Type:
Not provided

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Salary:

260000.00 USD / Year

Job Description:

Citibank, N.A. seeks a Testing Senior Group Manager for its Rutherford, New Jersey location. Duties: Determine the approach to implement testing strategies and execute testing strategies. Structure the testing group to ensure the greatest impact, efficient use of resources, and alignment to business structures. Analyze business requirements from stakeholders and prepare functional test cases including the impact analysis to the current state application. Use Python, Java and SQL for automation testing and building enterprise data quality engineering platforms. Establish controls and data standards on enterprise data platform. Design and document technical solutions using Big Data stack of technologies, including aggregation and reconciliation of data sets across multiple ETL pipelines using SQL and Excel. Conduct architectural design reviews for automation testing, and lead data quality engineering teams to build enterprise data quality engine for regulatory, liquidity, and risk reporting testing. Evaluate data quality and accuracy and address complex issues using Hive, Impala, Apache Spark, Oracle, Relational Database system, Hadoop, KDB, and financial institution data platforms and data sets. Drive innovative testing strategies that support technological changes. Influence IT testing through planning, finances and budget, end results, and setting policies. Exercise control over resources, budget, policy formulation and planning. Ensure that the IT organization is defining and implementing testing and control plans to meet business strategy and goals. Oversee the initiatives of aggregation and reconciliation of data sets across multiple extract transform load pipelines in order to determine monetary data accuracy using various data analysis tools and technologies including SQL, Excel, and build tools. Lead the exploration of data anomaly detection controls using machine learning and artificial intelligence and automated data quality engine. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Job Responsibility:

  • Determine the approach to implement testing strategies and execute testing strategies
  • Structure the testing group to ensure the greatest impact, efficient use of resources, and alignment to business structures
  • Analyze business requirements from stakeholders and prepare functional test cases including the impact analysis to the current state application
  • Use Python, Java and SQL for automation testing and building enterprise data quality engineering platforms
  • Establish controls and data standards on enterprise data platform
  • Design and document technical solutions using Big Data stack of technologies, including aggregation and reconciliation of data sets across multiple ETL pipelines using SQL and Excel
  • Conduct architectural design reviews for automation testing, and lead data quality engineering teams to build enterprise data quality engine for regulatory, liquidity, and risk reporting testing
  • Evaluate data quality and accuracy and address complex issues using Hive, Impala, Apache Spark, Oracle, Relational Database system, Hadoop, KDB, and financial institution data platforms and data sets
  • Drive innovative testing strategies that support technological changes
  • Influence IT testing through planning, finances and budget, end results, and setting policies
  • Exercise control over resources, budget, policy formulation and planning
  • Ensure that the IT organization is defining and implementing testing and control plans to meet business strategy and goals
  • Oversee the initiatives of aggregation and reconciliation of data sets across multiple extract transform load pipelines in order to determine monetary data accuracy using various data analysis tools and technologies including SQL, Excel, and build tools
  • Lead the exploration of data anomaly detection controls using machine learning and artificial intelligence and automated data quality engine

Requirements:

  • Requires a Bachelor’s degree or foreign equivalent in Engineering (any), Computer Science, Information Technology or related field and 8 years of progressive post-baccalaureate experience as a Team Lead, Manager, Software Engineer, Analyst, Programmer Analyst, QA Engineer, AVP, Associate or related position involving test automation strategy and developing test automation framework. 7 years of experience must include: Evaluating data quality and accuracy
  • Aggregation and reconciliation of data sets across multiple ETL pipelines using SQL and Excel
  • Python, Java and SQL for automation testing and building enterprise data quality engineering platforms
  • Establish controls and data standards on enterprise data platform
  • Hive, Impala, Apache Spark, Oracle, Relational Database system
  • Determining, implementing and executing testing strategy of ETL software applications
  • Impact analysis and defining functional validations for feature development and enhancements on Enterprise Data Platforms
  • and Hadoop, KDB, financial Institution data platforms and data sets.
What we offer:
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
May 04, 2026

Expiration:
June 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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