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    IBM Talent Frameworks

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    Sold by: IBM Consulting 
    Deploy IBM Talent Frameworks with IBM. IBM Talent Frameworks is a pre-built researched library of Job profiles with assigned Skills & Competency proficiency levels. IBM provides a rapid start to Skill Foundation projects identifying skills required for job success, providing career mobility, focused learning campaigns and interview guides, which can be integrated into HR systems.
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    Listing Thumbnail

    IBM Talent Frameworks

     Info
    Sold by: IBM Consulting 
    Request private offer

    Overview

    IBM Talent Frameworks is a library of industry-specific job profiles that has been curated & updated over 30 years to help you recruit, hire, and develop your workforce.

    IBM Talent Frameworks using Amazon Connect includes 20 libraries that cover information technology, healthcare, banking, retail, manufacturing, as well as over a dozen other industries, with 3,600+ ready-to-use job descriptions spanning general corporate functions and 2,700+ functional Skill/Competencies.

    Highlights

    • Technical Highlights – • The content in IBM Talent Frameworks is compatible with human resources (HR) applications such as Workday, Oracle, SAP-SuccessFactors, ServiceNow, etc.
    • Business Highlights – • Grow the right skills. • Adapt at speed. • Increase value of talent platforms.

    Details

    Sold by
    IBM Consulting 
    Categories
    Assessments 
    Implementation 
    Managed Services 
    Delivery method

    Pricing

    Custom pricing options

    Request private offer
    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Resources

    Vendor resources

    IBM Talent Framework 

    Support

    Vendor support

    David S Shaw ( dsshaw@us.ibm.com  ) and Sarah Damenti (mchughsw@us.ibm.com  )