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.

Qualifications/Requirements:

• 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%

Company Information

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