Global Data Quality Assurance Lead

AstraZeneca

Hybrid (minimum three days per week in-office)
Data quality assurance framework development
Data profiling and advanced data analysis
Global distributed team leadership
AstraZeneca is seeking a Global Data Quality Assurance Lead to spearhead the development and execution of data quality assurance activities within Global Operations. The role requires a combination of strategic leadership and hands-on involvement in data profiling and quality assurance, with a focus on ensuring compliance and reliability of data assets

Job Summary

  • This role leads a dynamic team to ensure data integrity while driving impactful decisions across global operations.
  • The successful candidate will balance strategic direction with hands-on involvement in data profiling and quality assurance tasks.
  • AstraZeneca offers a collaborative environment where employees work on average three days per week from the office to foster bold thinking.

Matching Summary

Match Score: 85

AstraZeneca is seeking a Global Data Quality Assurance Lead to spearhead the development and execution of data quality assurance activities within Global Operations. The role requires a combination of strategic leadership and hands-on involvement in data profiling and quality assurance, with a focus on ensuring compliance and reliability of data assets.

Skills & Requirements

Must-have

  • Data Quality Assurance Framework development
  • Data profiling and advanced data analysis
  • Global distributed team leadership
  • Regulatory compliance (GxP, data privacy)
  • AI-enabled Data Quality tooling experience
  • Snowflake and AWS platform proficiency

Nice-to-have

  • Experience in pharmaceutical manufacturing
  • Life sciences and healthcare domain knowledge
  • SAP capability and data stewardship
  • Published research in peer-reviewed journals
  • Masters or Ph.D. in related field
  • Drug research and development lifecycle experience

Key Requirements

  • Bachelor's degree in business administration, Information/Data Science, or related field
  • Significant experience in data quality assurance and data governance
  • Demonstrated ability to lead diverse, distributed teams globally
  • Proficient knowledge of regulated environments including GxP and data privacy
  • Experience with AI-enabled Data Quality tools and visualization platforms

Work Rights

Not specified

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