Job Architecture Manager

Career Category Human Resources Job Architecture Manager Role Name Job Architecture Manager Department Name Total Rewards Role GCF 5 ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases and make people s lives easier fuller and longer We discover develop manufacture and deliver innovative medicines to help millions of patients Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation using technology and human genetic data to push beyond what s known today ABOUT THE ROLE Role Description We are seeking a seasoned and strategic Job Architecture Job leveling Expert to join our Total Rewards team in India This role will serve as the global subject matter expert SME on job architecture and leveling responsible for the execution governance and continuous enhancement of the organization s job leveling functional and global career frameworks The role will actively ensure seamless execution consistency fairness and transparency in how roles are placed in the external and internal career frameworks across the enterprise and will partner closely with the compensation partners enabling effective talent management compensation design and career progression This role will also focus on process optimization and partner closely with internal technology and automation teams to enhance efficiency and simplify the delivery of job architecture initiatives 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 company s 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 Bachelor s or Master s 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 Skills Demonstrated ability to manage cross-functional projects with a high degree of accuracy influence and confidentiality Analytical proficiency with the ability to interpret and combine complex organizational data to drive strategic recommendations and decisions Excellent stakeholder management and collaboration skills Experience operating in a matrixed global environment and navigating across diverse cultural and business landscapes Curiosity for new technologies and solutions to drive continuous improvement Background in organizational design change management or workforce planning is a plus