Advanced Analytics and AI Lead

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ppAt EY, we’re all in to shape your future with confidence. /p pWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. /p h3The opportunity /h3 pThe Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. /p pThe role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI‑powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. /p h3Essential Functions: /h3 h3Talent Intelligence Strategy Executive Advisory /h3 ul liPartner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. /li liAct as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. /li liDrive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc /li liDeliver executive‑ready narratives that combine quantitative insights with business context and future workforce implications.



/li liInfluence enterprise talent priorities through predictive and prescriptive analytics. /li /ul h3Advanced Analytics AI Solutions /h3 ul liLead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. /li liDesign and deploy AI‑powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. /li liEstablish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. /li liDefine methodologies that combine internal talent data with external labour market intelligence and economic indicators. /li liContinuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. /li /ul h3Generative AI, Copilot Agentic Solutions /h3 ul liLead development of AI‑enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. /li liDesign and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes.



/li liBuild conversational analytics experiences that enable leaders to interact with talent data through natural language. /li liEstablish governance, explainability, responsible AI, and adoption practices for AI‑powered talent solutions. /li liPartner with technology teams to integrate agentic workflows into Talent operating models and business processes. /li liDrive experimentation and innovation through AI use cases that unlock measurable business value. /li /ul h3Data Products Platform Leadership /h3 ul liOwn the vision, roadmap, and lifecycle management of Talent analytics products and self‑service insight solutions. /li liLead development of enterprise Talent data products designed for broad organizational consumption. /li liEstablish product management disciplines, user‑centric design practices, and adoption strategies across Talent Intelligence initiatives. /li liDrive the transition from static reporting toward intelligent, scalable, reusable analytics products. /li liIdentify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. /li liEnable scalable analytics architecture supporting structured and unstructured talent data. /li liCollaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. /li liDrive modernization of the talent analytics ecosystem through cloud‑native analytics capabilities. /li /ul h3Insights, Storytelling Executive Communications /h3 ul liTransform analytical outputs into compelling executive narratives and strategic workforce recommendations. /li liCreate executive dashboards and insight products that simplify complex workforce information. /li liDevelop thought leadership that

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