Talent Assessment Manager @ General Electric

Job Information

Job Description:

Essential Responsibilities:

  • Identify assessment needs to support continuous improvement in how the organization understands and assesses talent.
  • Identify, source, and/or develop assessments to be used as part of hiring practices, to inform the identification of potential in internal talent, and to inform intentional development.
  • Develop simple, efficient ways to enable ease of use and meaningful impact of assessments.
  • Develop ways for employees, leaders, and candidates to receive useful insights from assessment approaches.
  • Develop a philosophy, roadmap, and approach to consistently pull data-based insights from assessment data, considering appropriate tools, technologies, and data privacy regulations.
  • Provide themed analysis and insights to leadership and other stakeholders covering areas to help drive decisions and identify areas of strength and opportunities for improvement.
  • Develop, deliver, and maintain solutions, with a focus informing actions, decisions, and development related to talent.
  • Stay up to date on innovative approaches, best practices, and new research related to talent assessment.
  • Serve as a counselor and subject matter authority to senior leaders regarding talent assessment.
  • Ensure robust validation of all assessments used, with strong documentation and alignment with best practice and science.
  • Demonstrate strong communication and data visualization skills, with the ability to communicate complex analytics and findings into digestible stories that illustrate key business implications.
  • Partner on other related talent management and development projects as needed.


  • Bachelor’s degree from an accredited university or college
  • Advanced degree (e.g., MA, PhD) in industrial/organizational psychology, organizational behavior, or related field
  • At least 5 years of experience in Human Resources
  • Strong expertise in selection assessment, including extensive experience with validation efforts
  • Strong domain knowledge in HR data and analytical methods; direct experience in analysis and interpretation with multinational and/or large companies at enterprise/regional/global level
  • Ability and willingness tor travel up to 25%

Experience Level: Senior
Work From: Remote from Country United Kingdom

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