Design Manager, UX Strategy, User Research, Vision
Leveraging AI and ML to drive executive insights and human-centered workforce performance.
The Challenge
The organization recognized a significant opportunity to evolve how we visualize and support our most valuable asset: our people. By moving beyond traditional, fragmented utilization metrics, we aimed to create a unified, real-time perspective of our global talent pool. The goal was to develop an executive-level "command center" that would transition the business from retrospective reporting to a future-forward model—leveraging predictive insights to better understand employee health, bridge skill gaps, and align our expertise with upcoming project needs.
The Solution
In collaboration with cross-functional leadership and engineering, we designed and strategized a comprehensive Executive Dashboard that leverages AI and Machine Learning (ML) to transform talent management. Our team developed an intelligent system to auto-suggest project placements based on deep AI analysis of skills, performance, and workload. This collective effort empowered leadership to move toward a proactive support model, successfully converting "bench time" into a strategic engine for capability evolution and professional growth.
The Results
The dashboard transformed raw data into a strategic asset, enabling leadership to make faster, more empathetic, and more profitable decisions.
Predictive Talent Matching: Leveraged ML to fill client needs by identifying gaps and intelligently suggesting the right talent from our internal pool.
Burnout Prevention: Established a "wellness-first" metric system that factors in work-life balance indicators, reducing turnover risk through early intervention.
Strategic Bench Management: Implemented AI-driven recommendations that turned underutilized time into productive activities like training, innovation, and client development.
Automated Growth: Created a framework for personalized bonus qualification tracking and automated training recommendations tailored to individual career trajectories.