Bristol Myers Squibb recently created an enterprise-wide job architecture and leveling approach and streamlined its job catalog. Building upon this foundation, BMS is now establishing starter job descriptions for each role to support more efficient talent acquisition and provide relevant content for career discussions. Join this conversation to learn how BMS teamed up with WTW and used their data science methodology to identify skills, accountabilities, and qualifications across the job catalog.

Takeaways

• Understand how global job architecture and job leveling serve as an effective foundation for building job documentation and skills taxonomies that align with career pathways and experiences.
• Learn how to leverage the power of data science to quickly build job description and skills content across your job catalog.
• Review the steps and approaches used to generate and validate job descriptions and skills content with the business and across the job catalog.