Manager/Senior Manager - Total Rewards - Insurance

Description:

This role blends deep analytical capability with HR strategy, owning the full performance & pay cycle across merit, variable, and long-term incentive programs, and enabling leaders to make data-driven talent and compensation decisions with speed and accuracy. The candidate will design and lead performance management and total rewards strategy using data & analytics to create a fair, high-performance, and future-ready rewards system.

Location: Bengaluru.

Your Future Employer: A digital-first, high-growth insurance organization.

Responsibilities:

- Lead the end-to-end planning, execution, and analysis of annual and mid-year appraisal cycles, ensuring consistency, fairness, and linkage to business performance.

- Build Excel- and Power BI-based performance dashboards integrating inputs from HRBPs and business data.

- Design and maintain KPI scorecards across functions; ensure calibration and normalization processes are data-driven and auditable.

- Leverage analytics and predictive insights (via Copilot and Power BI) to identify top performers, high-potential talent, and pay-risk individuals.

- Drive continuous process improvement by automating performance tracking, rating distribution analysis, and report generation.

- Own compensation benchmarking, internal parity, and pay structure models, aligning with market trends and business strategy.

Requirements:

- MBA (HR, Finance, or Analytics) preferred.

- 5-10 years in HR analytics, total rewards, or performance management, ideally in a digital, tech, or financial services organization.

- Proven track record in managing merit/variable pay cycles and compensation benchmarking.

- Deep proficiency in Excel modeling, data visualization (Power BI), and dashboard automation.

What is in it for you:

- Opportunity to lead performance management and total rewards strategy in a high-growth digital organization.

- Hands-on exposure to cutting-edge HR analytics tools like Power BI, HRMS, and Copilot.

- Work with CXO-level leadership on data-driven decision-making.

- Drive measurable impact on pay fairness, retention, and performance.