Total Rewards Technology Manager

Total Rewards Technology Manager
India - Hyderabad Apply Now
JOB ID: R-216247
ADDITIONAL LOCATIONS:
India - Hyderabad
WORK LOCATION TYPE:
On Site
DATE POSTED: Jun. 08, 2025
CATEGORY: Human Resources
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 dynamic and tech-savvy Total Rewards Technology Manager to join our Total Rewards team in India. This role will be pivotal in co-shaping and executing the Total Rewards technology roadmap, with a strong focus on integrating AI, technology and machine learning to automate, simplify & standardize decision-making, personalize employee experiences, and uncover strategic insights across all Total Rewards infrastructures.
In this role you will blend deep knowledge of HR technology, AI & Total Rewards, together with process improvement and data-driven decision-making. You will work cross-functionally to co-design the infrastructure and implement Total Rewards technology solutions that enhance employee experience, improve operational efficiency, and ensure compliance and scalability globally.
Roles & Responsibilities:
Co-develop, configure, implement and maintain a scalable technology architecture for Total Rewards initiatives, in close partnership with our Total Rewards, Technology and HR teams, including but not limited to Benefits Mgmt., Job Architecture & Leveling, Pay Equity & Transparency, Annual Compensation Processes, and dependent Total Rewards operations.
Identify, evaluate, recommend and implement AI driven solutions, technology, automation and process re-engineering to enhance accuracy, efficiency, compliance, and user experience in all Total Rewards processes.
Embed AI algorithms into Total Rewards platforms to forecast employee needs, model cost impacts of Total Rewards programs, and simulate distribution outcomes.
Leverage data, analytics, and technology to drive informed decision-making, optimize workflows, and improve service delivery.
Establish best practices and stay current with industry trends to ensure our Total Rewards technology solutions evolve with organizational needs.
Support change management initiatives from a technology standpoint related to all Total Rewards programs.
Leverage generative AI to support knowledge management, training content generation, and scalable SOP documentation within Total Rewards.
Basic Qualifications and Experience:
Bachelor's or Master's degree in HR, Information Systems, Engineering, or a related field.
5+ years of experience in Total Rewards or HR Technology roles, preferably within a global / matrixed organization, with demonstrated exposure to AI-enabled tools, intelligent automation, or advanced analytics within the Total Rewards domain
Proven expertise in Workday, with a focus on Benefits Administration module configuration and implementation.
Demonstrated experience in integrating AI or machine learning in HR systems, technology project management, solution design, and process optimization.
Skills:
Familiarity with AI tools/platforms and understanding of ethical AI use and data privacy in HR tech applications
Strong understanding of compensation, benefits, and payroll processes
Familiarity with job leveling frameworks and pay equity & transparency frameworks
Experience working with HRIS, benefits platforms, stock administration tools, and case management systems.
Analytical mindset with experience leveraging data and insights for continuous improvement.
Excellent stakeholder management and collaboration skills.
Strong problem-solving skills with a proactive approach to identifying inefficiencies and implementing solutions.
Experience in continuous improvement methodologies (e.g., Lean, Six Sigma) is a plus.