{"id":2688983,"url":"https://alion.io/job/ey-advanced-analytics-and-ai-lead","title":"Advanced Analytics and AI Lead","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184300,"max":331700,"currency":"USD","period":"year","gross":null,"usd_annual":331700},"salary_estimate":null,"experience_years_min":18,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Databricks","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-16T02:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-24T08:33:23Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"At EY, we’re all in to shape your future with confidence.\nWe’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.\nThe opportunity\nThe 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.\nThe 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.\nEssential Functions:\nTalent Intelligence Strategy & Executive Advisory\nPartner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy.\nAct as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions.\nDrive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc.\nDeliver executive-ready narratives that combine quantitative insights with business context and future workforce implications.\nInfluence enterprise talent priorities through predictive and prescriptive analytics.\nAdvanced Analytics & AI Solutions\nLead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance.\nDesign and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques.\nEstablish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization.\nDefine methodologies that combine internal talent data with external labour market intelligence and economic indicators.\nContinuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities.\nGenerative AI, Copilot & Agentic Solutions\nLead 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.\nDesign and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes.\nBuild conversational analytics experiences that enable leaders to interact with talent data through natural language.\nEstablish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions.\nPartner with technology teams to integrate agentic workflows into Talent operating models and business processes.\nDrive experimentation and innovation through AI use cases that unlock measurable business value.\nData Products & Platform Leadership\nOwn the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions.\nLead development of enterprise Talent data products designed for broad organizational consumption.\nEstablish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives.\nDrive the transition from static reporting toward intelligent, scalable, reusable analytics products.\nIdentify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups.\nEnable scalable analytics architecture supporting structured and unstructured talent data.\nCollaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security.\nDrive modernization of the talent analytics ecosystem through cloud-native analytics capabilities.\nInsights, Storytelling & Executive Communications\nTransform analytical outputs into compelling executive narratives and strategic workforce recommendations.\nCreate executive dashboards and insight products that simplify complex workforce information.\nDevelop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices.\nPresent findings confidently to executive talent leaders and senior business stakeholders.\nDrive adoption of analytics by making insights easily understandable, relevant, and actionable.\nLeadership & Capability Development\nLead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers.\nEstablish talent intelligence standards, methodologies, and governance frameworks.\nFoster a culture of innovation, experimentation, continuous learning, and responsible AI usage.\nBuild organizational capabilities in analytics, AI literacy, data storytelling, and product thinking.\nManage delivery across global, offshore, vendor, and managed-service teams where applicable.\nAnalytical/Decision Making Responsibilities:\nDetermine strategic priorities for Talent Intelligence and Advanced Analytics programs.\nPrioritize investments and resource allocation across analytics, AI, and data product portfolios.\nDefine and monitor key workforce intelligence metrics and success measures.\nEvaluate emerging workforce trends, technologies, and market developments to influence strategic direction.\nBalance innovation investments with operational scalability, governance, and business value realization.\nEnsure responsible and ethical use of workforce data and AI solutions.\nKnowledge and Skills Requirements:\nStrategic & Business Skills\nDeep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy.\nStrong consulting, stakeholder management, and executive influence capabilities.\nAbility to align talent analytics outcomes with broader business objectives.\nStrong commercial acumen and understanding of organizational transformation.\nAnalytics & Data Science Skills\nAdvanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting.\nAI & Emerging Technology Skills\nGenerative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions.\nData & Technology Skills\nData Bricks, Microsoft Fabric, Power BI and advanced visualization.\nSQL and advanced data modelling.\nMicrosoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning\nPython and R, Modern cloud analytics architectures.\nAPI and data integration concepts, Data governance and metadata management.\nLeadership Competencies\nExecutive presence, Strategic thinking, Innovation mindset, Change leadership.\nProduct-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement.\nAbility to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment.\nSupervision Responsibilities:\nWork closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery.\nLead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team.\nDevelop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills\nIndependently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position.\nOther Requirements:\nDue to global nature of the role; travel and willingness to work alternative hours will be required.\nDue to global nature of the role; English language skills - excellent written and verbal communication will be required.\nJob Requirements:\nEducation:\nBachelor’s degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline.\nMaster's degree preferred.\nCertification Requirements:\nHigher professional or master’s qualification in a related discipline is preferred, not required\nActive membership in related professional bodies or industry groups is preferred, not required\nMicrosoft certifications in MS Fabric, Copilot, Copilot Studio, AI, Machine Learning, Data Science, or Product Management certifications.\nProfessional certifications related to Planning, People Analytics, or Human Capital Management.\nExperience:\n18 to 20+ years of experience in Talent Analytics, Planning, Talent Intelligence, Data Science, AI, Copilot or related fields.\nDemonstrated experience building enterprise-scale analytics, AI, or data product solutions as a consultant to external clients for talent domain.\nExperience implementing Generative AI and Copilot-enabled business solutions.\nExperience with Microsoft Fabric and modern cloud-based analytics environments.\nProven track record of delivering executive-level insights and strategic decision support.\nExperience leading multidisciplinary global teams.\nExperience managing complex stakeholder environments and large transformation initiatives.\nDemonstrated success translating advanced analytics into business outcomes and measurable value realization.\nThis job posting relates to an existing vacancy within our organization.\nWhat we offer you (Canada)\nWe offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a discretionary bonus program, a comprehensive medical, prescription drug and dental coverage plan, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:\nSupport and coaching from some of the most engaging colleagues in the industry\n\nLearning opportunities to develop new skills and progress your career\n\nThe freedom and flexibility to handle your role in a way that’s right for you\n\nAre you ready to shape your future with confidence? Apply today.\nTo help create the best experience during the recruitment process, please describe any accommodation you may need.\nInclusiveness at EY\nInclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. 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