Advanced Analytics and AI Lead

8d•$153,600 - $345,500•Hybrid

About The Position

The 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. The 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.

Requirements

Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy.
Strong consulting, stakeholder management, and executive influence capabilities.
Ability to align talent analytics outcomes with broader business objectives.
Strong commercial acumen and understanding of organizational transformation.
Advanced 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.
Generative 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.
Data Bricks, Microsoft Fabric, Power BI and advanced visualization.
SQL and advanced data modelling.
Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning
Python and R, Modern cloud analytics architectures.
API and data integration concepts, Data governance and metadata management.
Executive presence, Strategic thinking, Innovation mindset, Change leadership.
Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement.
Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment.
Bachelor’s degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline.
18 to 20+ years of experience in Talent Analytics, Planning, Talent Intelligence, Data Science, AI, Copilot or related fields.
Demonstrated experience building enterprise-scale analytics, AI, or data product solutions as a consultant to external clients for talent domain.
Experience implementing Generative AI and Copilot-enabled business solutions.
Experience with Microsoft Fabric and modern cloud-based analytics environments.
Proven track record of delivering executive-level insights and strategic decision support.
Experience leading multidisciplinary global teams.
Experience managing complex stakeholder environments and large transformation initiatives.
Demonstrated success translating advanced analytics into business outcomes and measurable value realization.

Nice To Haves

Master's degree preferred.
Higher professional or master’s qualification in a related discipline is preferred, not required
Active membership in related professional bodies or industry groups is preferred, not required
Microsoft certifications in MS Fabric, Copilot, Copilot Studio, AI, Machine Learning, Data Science, or Product Management certifications.
Professional certifications related to Planning, People Analytics, or Human Capital Management.

Responsibilities

Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy.
Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions.
Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc.
Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications.
Influence enterprise talent priorities through predictive and prescriptive analytics.
Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance.
Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques.
Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization.
Define methodologies that combine internal talent data with external labour market intelligence and economic indicators.
Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities.
Lead 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.
Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes.
Build conversational analytics experiences that enable leaders to interact with talent data through natural language.
Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions.
Partner with technology teams to integrate agentic workflows into Talent operating models and business processes.
Drive experimentation and innovation through AI use cases that unlock measurable business value.
Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions.
Lead development of enterprise Talent data products designed for broad organizational consumption.
Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives.
Drive the transition from static reporting toward intelligent, scalable, reusable analytics products.
Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups.
Enable scalable analytics architecture supporting structured and unstructured talent data.
Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security.
Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities.
Transform analytical outputs into compelling executive narratives and strategic workforce recommendations.
Create executive dashboards and insight products that simplify complex workforce information.
Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices.
Present findings confidently to executive talent leaders and senior business stakeholders.
Drive adoption of analytics by making insights easily understandable, relevant, and actionable.
Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers.
Establish talent intelligence standards, methodologies, and governance frameworks.
Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage.
Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking.
Manage delivery across global, offshore, vendor, and managed-service teams where applicable.
Determine strategic priorities for Talent Intelligence and Advanced Analytics programs.
Prioritize investments and resource allocation across analytics, AI, and data product portfolios.
Define and monitor key workforce intelligence metrics and success measures.
Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction.
Balance innovation investments with operational scalability, governance, and business value realization.
Ensure responsible and ethical use of workforce data and AI solutions.
Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery.
Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team.
Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills.
Independently 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.

Benefits

Competitive compensation package
Discretionary bonus program
Comprehensive medical, prescription drug and dental coverage plan
Defined contribution pension plan
Great vacation policy
Firm paid days that allow you to enjoy longer long weekends throughout the year
Statutory holidays
Paid personal days (based on province of residence)
Range of exciting programs and benefits designed to support your physical, financial and social well-being
Support and coaching from some of the most engaging colleagues in the industry
Learning opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that’s right for you
Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence when needed to support your physical, financial, and emotional well-being