Industry: Consumer (Retail, Industrial Supply)

Summary of My Role & Experience

I conducted comprehensive workforce data analysis, identifying 20,000 employees, 2,000
open job roles, and 500 pay bands, leading to enhanced job architecture and workforce planning.

Challenge

The client lacked clear job structures and workforce insights, leading to inefficiencies in compensation, hiring, and talent management.

Solution

I led the job architecture initiative, performing data-driven workforce planning to optimize talent alignment and pay structures.

Results

Increased Role Clarity: Enhanced workforce efficiency through clear job structures.
Optimized Pay Structures: Ensured equitable compensation across roles.
Strategic Workforce Planning: Enabled data-driven hiring and talent management.

Key Takeaways

Data-driven job architecture is essential for
aligning workforce strategy with business goals.

Implementation

Employee Data Analysis
Analyzed 20,000 employees' job data to identify gaps and opportunities.
Open Job Roles
Identified 2,000 open job roles to streamline hiring processes.
Pay Band Definition
Defined 500 pay bands to ensure equitable compensation.
Job Architecture Framework
Designed a robust job architecture framework for workforce alignment.