阿斯利康大学高级经理（中央培训）

AstraZeneca

Not specified
Full-cycle training program design
Training insight framework and evaluation
New product launch training strategy
AstraZeneca is seeking a Senior Manager for Central Training, focusing on managing training programs, data analysis, and the integration of AI and digital tools in training. The ideal candidate will have extensive experience in the pharmaceutical industry, particularly in oncology, and a strong background in product launch training and project management

Job Summary

  • Oversee the design, execution, and evaluation of full-cycle training programs across business units, coordinating resources and ensuring alignment with business objectives.
  • Establish a training insight framework and evaluation system to provide data-driven insights for strategy optimization and business decisions.
  • Lead the full-cycle training strategy for new product launches, collaborating across departments to create competitive solutions and guide training team implementation.

Matching Summary

Match Score: 85

AstraZeneca is seeking a Senior Manager for Central Training, focusing on managing training programs, data analysis, and the integration of AI and digital tools in training. The ideal candidate will have extensive experience in the pharmaceutical industry, particularly in oncology, and a strong background in product launch training and project management.

Skills & Requirements

Must-have

  • Full-cycle training program design
  • Training insight framework and evaluation
  • New product launch training strategy
  • AI and digital tools in training
  • Cross-departmental collaboration and influence

Nice-to-have

  • Business objective alignment
  • Learning efficiency and agility
  • Inclusive and diverse team

Key Requirements

  • Bachelor's degree or above in a pharmaceutical-related field
  • 10+ years of pharmaceutical industry experience
  • Oncology sales management experience
  • Oncology brand management experience
  • Oncology new product launch leadership experience
  • Project management operational experience
  • Familiarity with AI/digital learning in healthcare/oncology

Work Rights

Not specified

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