Senior Associate – Total Rewards Digital Solutions & Compensation
Amgen · Hyderabad
- Experience5–8 yrs
- SalaryNot disclosed
- Work modehybrid
- Levelsenior
- Posted12 Sept 2026
About Amgen
Amgen is hiring in Hyderabad in pharma biotech. This role looks for around 5+ years of experience.
Skills
- compensation benchmarking
- Microsoft Excel
- Power BI
- HR systems
- compensation platforms
The role
A Total Rewards analyst at a pharmaceutical biotechnology company executes compensation benchmarking and analytics, maintains HR technology, and applies generative AI to scalable compensation processes. This person develops data-driven insights and supports digital tool adoption.
Full job description
GCF Level: Level 4 (Individual Contributor)
Job Summary
This role sits at the intersection of Total Rewards, digital enablement, and analytics, supporting a more modern and scalable compensation function.
It combines execution of core compensation processes (e.g., benchmarking, annual cycles) with ownership of digital tools, data, and automation that enable them, leveraging HR technology, analytics, and generative AI to improve efficiency and decision-making.
The role balances compensation delivery with a strong focus on digital, analytics, and automation, with increasing emphasis on technology-enabled ways of working.
This is a digital-first Total Rewards role, not a traditional operations role, focused on enabling smarter, faster, and more scalable outcomes.
Key Responsibilities
Compensation & Benchmarking ExecutionSupport delivery of benchmarking, market analysis, and annual compensation cyclesAnalyze and structure data to support compensation insights and decision-makingEnsure data accuracy, consistency, and integrity across compensation processesPartner with Compensation stakeholders to execute processes in a scalable and data-driven manner Digital Tools, Automation & HR TechnologyOwn ongoing maintenance and updates of TR tools (data refresh, backend updates, logic inputs)Support testing, validation, and deployment of new tools and enhancementsWork with TR technology leads to operationalize digital solutionsContribute to building scalable, automated, and reusable solutions AI & Analytics EnablementApply generative AI and automation to improve efficiency in day-to-day workflowsIdentify opportunities to reduce manual work and improve process speed and accuracySupport development of data-driven insights and dashboardsUse analytics to strengthen decision-making and process effectiveness Adoption, Training & Change EnablementDrive adoption of digital tools and modern TR processesDevelop and deliver training and enablement materialsTranslate complex tools and outputs into simple, practical guidanceAct as a bridge between product/tech and end-users Continuous Improvement & InnovationIdentify opportunities to improve, simplify, and scale TR processesSupport initiatives related to automation, standardization, and global consistencyContribute to shaping future-ready Total Rewards infrastructure Collaboration & Stakeholder EngagementWork across Compensation, HR, and technology teams to align process, data, and systemsCommunicate effectively with both technical and business stakeholdersSupport global and regional initiatives linked to Total Rewards transformation
Basic Qualifications
Bachelor’s degree in Human Resources, Business, Finance, Data Analytics, or related field5–8 years of experience in Total Rewards, Compensation, or HR Analytics (required)Strong analytical and data handling experience using tools such as Excel, Power BI, or similar platformsExperience working with HR systems, compensation platforms, or data tools
Preferred Qualifications
Hands-on experience with compensation benchmarking and market data interpretationExperience working with Total Rewards vendors (Mercer, WTW, Aon, Radford or similar)Experience with HR technology, digital tools, or internal platformsDemonstrated use of generative AI tools and automation in day-to-day workExperience supporting tool testing, maintenance, or digital product enablementExposure to global Total Rewards programs or transformation initiatives
Key Skills & Capabilities
Strong analytical and problem-solving capabilityHigh attention to detail with focus on data accuracy and qualityAbility to interpret, structure, and communicate insights clearlyStrong communication skills with the ability to simplify complex tools, data, and conceptsAbility to work across business and technology environmentsComfortable managing multiple workstreams independently
Working Style / Success Profile
Comfortable operating in a hybrid role across compensation, analytics, and technologyDemonstrates a digital-first mindset and curiosity for new tools and ways of workingBalances execution excellence with continuous improvementActively drives adoption, usability, and impactContributes to building scalable and future-ready TR solutions