Job
Description
Roles & Responsibilities: Provide strategic oversight and operational management of the global job leveling framework, ensuring consistent application across functions, geographies, and organizational levels. Act as the primary authority on job leveling and architecture, leveraging AI-supported job analysis tools, offering expert guidance and support to Compensation partners and Total Rewards senior leadership. Actively support the develop and maintenance of functional career progression frameworks, in partnership with Compensation partners, business and functional leaders, to support internal mobility and employee development, incorporating AI-based insights to tailor frameworks to evolving workforce skills and career patterns. Lead the end-to-end execution of global job mapping and leveling exercises, ensuring alignment with internal equity and market competitiveness by supporting the integration of AI, and machine learning algorithms and technology to enhance consistency and detect outliers or anomalies. Identify and implement AI & technology improvements to simplify, standardize, and enhance job architecture processes, consistency, user experience, and tools to better support business and HR stakeholders leveraging Collaborate closely with the Total Rewards Technology Manager and Compensation partners to explore and implement AI, technology and scalable solutions that automate and streamline job architecture processes and related processes, like benchmarking. Monitor industry best practices and trends related to AI, Technology, tools, job architecture, career frameworks, and job evaluation methodologies, applying relevant insights to enhance the companys framework, efficiency and consistency Leveraging generative AI tools to develop and maintain SOPs, knowledge bases, and training materials for scalable and up-to-date service delivery Basic Qualifications and Experience: Bachelors or Masters degree in Human Resources, Business Administration, Industrial/Organizational Psychology, or a related field 5+ years of progressive experience in Total Rewards, Compensation, or Talent Management, with a specific focus on job architecture or career framework design Proven experience in the development and governance of global job leveling frameworks and career path models. Experience with AI-driven analytics tools to evaluate workforce data for job leveling decisions Strong understanding of job evaluation methodologies and principles of internal equity and external market alignment (e.g., Mercer, AON Radford, WillisTowersWatson Global Grading)
