Translate the CLO's vision for talent transformation in the agentic AI era into detailed, phased actionable plans with clear milestones, resources, and KPIs.
Drive end-to-end implementation of these plans through the talent teams, ensuring alignment across HR, operations, and business units.
Drive AI talent strategy and roadmap, including skill inventories, upskilling pathways for AI-native roles.
Tech Trends & Business-Talent Foresight
Monitor and synthesize key technology trends (e.g., agentic AI, generative models, autonomous systems) and their implications for business models, operations, and talent demands.
Conduct talent impact assessments to proactively identify skill gaps, reskilling needs, and emerging roles.
Partner with Business Leaders, Domain Experts, and CXOs on capability development strategies with data/AI-led transformation priorities.
Build external partnerships with tech providers, academia, and startups to import cutting-edge practices into EXL's talent ecosystem.
Insights, Dashboards & Performance Optimization
Design and maintain a comprehensive talent dashboard for the CLO, providing real-time insights on capability maturity, AI readiness, skill adoption, and business impact.
Establish measurement frameworks to track ROI on capability investments, innovation outcomes, solution win rates, and leadership effectiveness.
Leverage data analytics to generate actionable insights, forecast talent risks, and recommend refinements based on performance data, client feedback, and market shifts.
Mitigate execution risks by monitoring progress, flagging bottlenecks, and enabling rapid course corrections.
Stakeholder Orchestration & Change Leadership
Act as a key interface for the CLO, preparing executive communications, briefings, and presentations to align stakeholders on talent transformation progress.
Drive change management across functions, embedding capabilities into the flow of work and overcoming adoption barriers.
