Test Lead – Pharma Commercial Data

5 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

As the Test Lead / QA Manager focused on commercial drug launches, you will ensure the accuracy, reliability, and compliance of data pipelines supporting global pharma product launches. You’ll lead the validation of MDM integrations (Reltio/Veeva Network), CRM (Veeva CRM), and downstream analytics platforms (Snowflake/Redshift), collaborating closely with data engineering and commercial operations teams.

Your role ensures that from day one of launch, commercial data architecture is tested, trusted, and audit-ready.


Your tasks

  • Leading end-to-end testing and validation of commercial data pipelines supporting global drug launches
  • Designing and executing comprehensive test plans across MDM (Reltio/Veeva Network), CRM (Veeva CRM), and analytics platforms (Snowflake/Redshift)
  • Ensuring data quality, lineage, and compliance from source to downstream reporting
  • Collaborating with Data Engineering, MDM, and Commercial Operations teams to define acceptance criteria and readiness standards
  • Monitoring data pipeline health metrics and proactively escalating issues
  • Documenting test outcomes, dashboards, and go-live readiness reports for audit compliance
  • Contributing to the continuous improvement of testing frameworks and data quality processes


Requirements

  • At least 5 years of experience in QA/test engineering within pharma commercial or medical data domains
  • Experience in MDM (Reltio/Veeva Network) and CRM (Veeva CRM) testing
  • Strong SQL skills for data validation and ETL testing
  • Understanding of data warehouse platforms (Snowflake/Redshift)
  • Familiarity with data quality, lineage, and integration best practices
  • Excellent analytical and communication skills to engage with technical and business stakeholders
  • Experience in Agile or SAFe environments


Nice to have

  • Hands-on experience with Python-based test automation for data validation
  • Exposure to Power BI or similar analytics tools
  • Experience supporting global drug launches or commercial pharma data platforms

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