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Tier-1 employer, mid-level experience, and Hyderabad metro increase candidate competition.
Compensation and job-architecture skills transfer broadly, though biotech/global-matrix exposure raises specificity to medium.
Explicit years and Total Rewards experience required, but degree alternatives moderate strictness.
Support job architecture and levelling activities by analyzing job and organization data to prepare preliminary levelling recommendations and maintain documentation.
Collaborate with Compensation and HR stakeholders to ensure fair and consistent role placement within internal and external career frameworks.
Contribute to process improvements and implementation of AI-enabled job analysis tools, including testing and documentation of technology enhancements.
Bachelor’s degree with 6 years or Master’s degree with 4 years experience in Human Resources, Total Rewards, Compensation, Benefits, HR Operations, or related fields.
Experience with job architecture, job levelling, or career frameworks preferred but not explicitly mandatory.
Strong analytical skills required, with attention to detail and data quality emphasized.
Work Experience Required: 4-6 years in relevant HR fields depending on educational qualification.
Experience working in a global, matrixed organizational environment with exposure to organizational design or career framework implementation.
Demonstrated ability to manage multiple assignments, prioritize work within general guidelines, and meet deadlines in HR or Compensation functions.
Comfortable using AI-supported tools and contributing to process and technology improvement initiatives within Total Rewards or HR domains.