Total Rewards Technology & Analytics Manager

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

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.

• →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.

• Bachelor's or Master's degree in HR, Information Systems, Engineering, or a related field.
• 8+ 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 Advanced Compensation Administration module implementation.
• Demonstrated experience in integrating AI or machine learning in HR systems, technology project management, solution design, and process optimization.

• 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.