Total Rewards Technology & Analytics Manager

Overview

Co-shape and execute the Total Rewards technology roadmap, integrating AI, technology and machine learning to automate, standardize and personalize Total Rewards processes and uncover strategic insights.

What you'll do

• Co-develop, configure, implement and maintain a scalable technology architecture for Total Rewards initiatives, in partnership with Total Rewards, Technology and HR teams, including 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 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.

What you'll need

• 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.

Nice to have

• Experience in continuous improvement methodologies (e.g., Lean, Six Sigma).

Details

• Location: India, Hyderabad.