Advanced Analytics and AI Lead
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to preserve all substantive information, not invent. Remove boilerplate: cookie/navigation/legal/EEO etc. At end there is "Inclusiveness at EY ..." which is boilerplate EEO; remove. Also "To help create the best experience during the recruitment process, please describe any accommodation you may need." That's accommodation request; maybe keep? It's not boilerplate? Might be considered part of application instructions; we should remove application instructions. The instruction says remove application instructions. So remove that line.
Also "This job posting relates to an existing vacancy within our organization." maybe keep? It's not boilerplate but minor metadata; could be folded into short p.
We need to decide sections: About the role (intro + The opportunity). Then Essential Functions (maybe as a heading with subheadings? Could keep as a heading and then list sub-sections as
? But only allowed headings are . We could treat each sub-function as its own section. The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". It suggests those are examples, but we can use other headings as needed? Probably we should stick to those categories but can also add others if needed. However they said "include a section ONLY when the posting has real, specific content for it". So we can create sections like "Talent Intelligence Strategy & Executive Advisory", "Advanced Analytics & AI Solutions", etc. Use for each.
We need to convert bullet points into - . For prose, use
.
We must not repeat job title as heading. So no heading "Talent Advanced Analytics Lead". Good.
Let's extract content.
Intro: "At EY, we’re all in to shape your future with confidence. We’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."
Then "The opportunity 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."
That's prose.
Then "Essential Functions:" then bullet list with subheadings.
We can treat each subheading as its own section.
Subheadings:
- Talent Intelligence Strategy & Executive Advisory
- Advanced Analytics & AI Solutions
- Generative AI, Copilot & Agentic Solutions
- Data Products & Platform Leadership
- Insights, Storytelling & Executive Communications
- Leadership & Capability Development
- Analytical/Decision Making Responsibilities
- Knowledge and Skills Requirements (with subcategories)
- Supervision Responsibilities
- Other Requirements
- Job Requirements (Education, Certification Requirements, Experience)
- What We Offer You (Canada) (benefits)
We need to ensure we don't create sections with filler like "commensurate with experience". Not present.
Now extract each section's content.
**Talent Intelligence Strategy & Executive Advisory**:
Content after that heading: "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, etcDeliver executive-ready narratives that combine quantitative insights with business context and future workforce implications.Influence enterprise talent priorities through predictive and prescriptive analytics."
We need to split into list items? It's a series of sentences; could be
- each sentence. We'll make list.
**Advanced Analytics & AI Solutions**:
Content: "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."
Make list.
**Generative AI, Copilot & Agentic Solutions**:
Content: "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."
List.
**Data Products & Platform Leadership**:
Content: "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."
List.
**Insights, Storytelling & Executive Communications**:
Content: "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."
List.
**Leadership & Capability Development**:
Content: "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."
List.
**Analytical/Decision Making Responsibilities**:
Content: "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."
List.
**Knowledge and Skills Requirements**:
We have subcategories: Strategic & Business Skills, Analytics & Data Science Skills, AI & Emerging Technology Skills, Data & Technology Skills, Leadership Competencies.
We could make a heading
Knowledge and Skills Requirements, then under it subheadings? But only allowed; we could make each subcategory its own under Knowledge and Skills Requirements? Might be too many sections but okay. However instruction: prefer a few substantive sections over many thin ones. Could combine into one section with subheadings using ? Not allowed. Maybe we keep each subcategory as its own but that'll be many sections. Could instead make a single Knowledge and Skills Requirements section with - where each li contains the subcategory heading bold? But we need to preserve content; we can embed subheadings as inside li. That's acceptable.
Thus:
Knowledge and Skills Requirements
then - Strategic & Business Skills: ...
etc.
We need to extract each subcategory content.
Strategic & Business Skills: "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."
Analytics & Data Science Skills: "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."
AI & Emerging Technology Skills: "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 & Technology Skills: "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 LearningPython and R, Modern cloud analytics architectures.API and data integration concepts, Data governance and metadata management."
Leadership Competencies: "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."
**Supervision Responsibilities**:
Content: "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 skillsIndependently 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."
We need to split into list items.
**Other Requirements**:
Content: "Due to global nature of the role; travel and willingness to work alternative hours will be required.Due to global nature of the role; English language skills - excellent written and verbal communication will be required."
Make list.
**Job Requirements**:
We have Education, Certification Requirements, Experience.
We could make a heading Job Requirements and then sublists.
Education: "Bachelor’s degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline.Master's degree preferred."
Certification Requirements: "Higher professional or master’s qualification in a related
for prose. We need to preserve all substantive information, not invent. Remove boilerplate: cookie/navigation/legal/EEO etc. At end there is "Inclusiveness at EY ..." which is boilerplate EEO; remove. Also "To help create the best experience during the recruitment process, please describe any accommodation you may need." That's accommodation request; maybe keep? It's not boilerplate? Might be considered part of application instructions; we should remove application instructions. The instruction says remove application instructions. So remove that line. Also "This job posting relates to an existing vacancy within our organization." maybe keep? It's not boilerplate but minor metadata; could be folded into short p. We need to decide sections: About the role (intro + The opportunity). Then Essential Functions (maybe as a heading with subheadings? Could keep as a heading and then list sub-sections as
? But only allowed headings are . We could treat each sub-function as its own section. The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". It suggests those are examples, but we can use other headings as needed? Probably we should stick to those categories but can also add others if needed. However they said "include a section ONLY when the posting has real, specific content for it". So we can create sections like "Talent Intelligence Strategy & Executive Advisory", "Advanced Analytics & AI Solutions", etc. Use for each.
We need to convert bullet points into - . For prose, use
.
We must not repeat job title as heading. So no heading "Talent Advanced Analytics Lead". Good.
Let's extract content.
Intro: "At EY, we’re all in to shape your future with confidence. We’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."
Then "The opportunity 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."
That's prose.
Then "Essential Functions:" then bullet list with subheadings.
We can treat each subheading as its own section.
Subheadings:
- Talent Intelligence Strategy & Executive Advisory
- Advanced Analytics & AI Solutions
- Generative AI, Copilot & Agentic Solutions
- Data Products & Platform Leadership
- Insights, Storytelling & Executive Communications
- Leadership & Capability Development
- Analytical/Decision Making Responsibilities
- Knowledge and Skills Requirements (with subcategories)
- Supervision Responsibilities
- Other Requirements
- Job Requirements (Education, Certification Requirements, Experience)
- What We Offer You (Canada) (benefits)
We need to ensure we don't create sections with filler like "commensurate with experience". Not present.
Now extract each section's content.
**Talent Intelligence Strategy & Executive Advisory**:
Content after that heading: "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, etcDeliver executive-ready narratives that combine quantitative insights with business context and future workforce implications.Influence enterprise talent priorities through predictive and prescriptive analytics."
We need to split into list items? It's a series of sentences; could be
- each sentence. We'll make list.
**Advanced Analytics & AI Solutions**:
Content: "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."
Make list.
**Generative AI, Copilot & Agentic Solutions**:
Content: "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."
List.
**Data Products & Platform Leadership**:
Content: "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."
List.
**Insights, Storytelling & Executive Communications**:
Content: "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."
List.
**Leadership & Capability Development**:
Content: "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."
List.
**Analytical/Decision Making Responsibilities**:
Content: "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."
List.
**Knowledge and Skills Requirements**:
We have subcategories: Strategic & Business Skills, Analytics & Data Science Skills, AI & Emerging Technology Skills, Data & Technology Skills, Leadership Competencies.
We could make a heading
Knowledge and Skills Requirements, then under it subheadings? But only allowed; we could make each subcategory its own under Knowledge and Skills Requirements? Might be too many sections but okay. However instruction: prefer a few substantive sections over many thin ones. Could combine into one section with subheadings using ? Not allowed. Maybe we keep each subcategory as its own but that'll be many sections. Could instead make a single Knowledge and Skills Requirements section with - where each li contains the subcategory heading bold? But we need to preserve content; we can embed subheadings as inside li. That's acceptable.
Thus:
Knowledge and Skills Requirements
then - Strategic & Business Skills: ...
etc.
We need to extract each subcategory content.
Strategic & Business Skills: "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."
Analytics & Data Science Skills: "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."
AI & Emerging Technology Skills: "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 & Technology Skills: "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 LearningPython and R, Modern cloud analytics architectures.API and data integration concepts, Data governance and metadata management."
Leadership Competencies: "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."
**Supervision Responsibilities**:
Content: "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 skillsIndependently 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."
We need to split into list items.
**Other Requirements**:
Content: "Due to global nature of the role; travel and willingness to work alternative hours will be required.Due to global nature of the role; English language skills - excellent written and verbal communication will be required."
Make list.
**Job Requirements**:
We have Education, Certification Requirements, Experience.
We could make a heading Job Requirements and then sublists.
Education: "Bachelor’s degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline.Master's degree preferred."
Certification Requirements: "Higher professional or master’s qualification in a related
section. The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". It suggests those are examples, but we can use other headings as needed? Probably we should stick to those categories but can also add others if needed. However they said "include a section ONLY when the posting has real, specific content for it". So we can create sections like "Talent Intelligence Strategy & Executive Advisory", "Advanced Analytics & AI Solutions", etc. Use for each.
We need to convert bullet points into - . For prose, use
.
We must not repeat job title as heading. So no heading "Talent Advanced Analytics Lead". Good.
Let's extract content.
Intro: "At EY, we’re all in to shape your future with confidence. We’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."
Then "The opportunity 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."
That's prose.
Then "Essential Functions:" then bullet list with subheadings.
We can treat each subheading as its own section.
Subheadings:
- Talent Intelligence Strategy & Executive Advisory
- Advanced Analytics & AI Solutions
- Generative AI, Copilot & Agentic Solutions
- Data Products & Platform Leadership
- Insights, Storytelling & Executive Communications
- Leadership & Capability Development
- Analytical/Decision Making Responsibilities
- Knowledge and Skills Requirements (with subcategories)
- Supervision Responsibilities
- Other Requirements
- Job Requirements (Education, Certification Requirements, Experience)
- What We Offer You (Canada) (benefits)
We need to ensure we don't create sections with filler like "commensurate with experience". Not present.
Now extract each section's content.
**Talent Intelligence Strategy & Executive Advisory**:
Content after that heading: "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, etcDeliver executive-ready narratives that combine quantitative insights with business context and future workforce implications.Influence enterprise talent priorities through predictive and prescriptive analytics."
We need to split into list items? It's a series of sentences; could be
- each sentence. We'll make list.
**Advanced Analytics & AI Solutions**:
Content: "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."
Make list.
**Generative AI, Copilot & Agentic Solutions**:
Content: "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."
List.
**Data Products & Platform Leadership**:
Content: "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."
List.
**Insights, Storytelling & Executive Communications**:
Content: "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."
List.
**Leadership & Capability Development**:
Content: "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."
List.
**Analytical/Decision Making Responsibilities**:
Content: "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."
List.
**Knowledge and Skills Requirements**:
We have subcategories: Strategic & Business Skills, Analytics & Data Science Skills, AI & Emerging Technology Skills, Data & Technology Skills, Leadership Competencies.
We could make a heading
Knowledge and Skills Requirements, then under it subheadings? But only allowed; we could make each subcategory its own under Knowledge and Skills Requirements? Might be too many sections but okay. However instruction: prefer a few substantive sections over many thin ones. Could combine into one section with subheadings using ? Not allowed. Maybe we keep each subcategory as its own but that'll be many sections. Could instead make a single Knowledge and Skills Requirements section with - where each li contains the subcategory heading bold? But we need to preserve content; we can embed subheadings as inside li. That's acceptable.
Thus:
Knowledge and Skills Requirements
then - Strategic & Business Skills: ...
etc.
We need to extract each subcategory content.
Strategic & Business Skills: "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."
Analytics & Data Science Skills: "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."
AI & Emerging Technology Skills: "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 & Technology Skills: "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 LearningPython and R, Modern cloud analytics architectures.API and data integration concepts, Data governance and metadata management."
Leadership Competencies: "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."
**Supervision Responsibilities**:
Content: "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 skillsIndependently 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."
We need to split into list items.
**Other Requirements**:
Content: "Due to global nature of the role; travel and willingness to work alternative hours will be required.Due to global nature of the role; English language skills - excellent written and verbal communication will be required."
Make list.
**Job Requirements**:
We have Education, Certification Requirements, Experience.
We could make a heading Job Requirements and then sublists.
Education: "Bachelor’s degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline.Master's degree preferred."
Certification Requirements: "Higher professional or master’s qualification in a related
for each.
We need to convert bullet points into - . For prose, use
.
We must not repeat job title as heading. So no heading "Talent Advanced Analytics Lead". Good.
Let's extract content.
Intro: "At EY, we’re all in to shape your future with confidence. We’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."
Then "The opportunity 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."
That's prose.
Then "Essential Functions:" then bullet list with subheadings.
We can treat each subheading as its own section.
Subheadings:
- Talent Intelligence Strategy & Executive Advisory
- Advanced Analytics & AI Solutions
- Generative AI, Copilot & Agentic Solutions
- Data Products & Platform Leadership
- Insights, Storytelling & Executive Communications
- Leadership & Capability Development
- Analytical/Decision Making Responsibilities
- Knowledge and Skills Requirements (with subcategories)
- Supervision Responsibilities
- Other Requirements
- Job Requirements (Education, Certification Requirements, Experience)
- What We Offer You (Canada) (benefits)
We need to ensure we don't create sections with filler like "commensurate with experience". Not present.
Now extract each section's content.
**Talent Intelligence Strategy & Executive Advisory**:
Content after that heading: "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, etcDeliver executive-ready narratives that combine quantitative insights with business context and future workforce implications.Influence enterprise talent priorities through predictive and prescriptive analytics."
We need to split into list items? It's a series of sentences; could be
- each sentence. We'll make list.
**Advanced Analytics & AI Solutions**:
Content: "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."
Make list.
**Generative AI, Copilot & Agentic Solutions**:
Content: "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."
List.
**Data Products & Platform Leadership**:
Content: "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."
List.
**Insights, Storytelling & Executive Communications**:
Content: "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."
List.
**Leadership & Capability Development**:
Content: "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."
List.
**Analytical/Decision Making Responsibilities**:
Content: "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."
List.
**Knowledge and Skills Requirements**:
We have subcategories: Strategic & Business Skills, Analytics & Data Science Skills, AI & Emerging Technology Skills, Data & Technology Skills, Leadership Competencies.
We could make a heading
Knowledge and Skills Requirements, then under it subheadings? But only allowed; we could make each subcategory its own under Knowledge and Skills Requirements? Might be too many sections but okay. However instruction: prefer a few substantive sections over many thin ones. Could combine into one section with subheadings using ? Not allowed. Maybe we keep each subcategory as its own but that'll be many sections. Could instead make a single Knowledge and Skills Requirements section with - where each li contains the subcategory heading bold? But we need to preserve content; we can embed subheadings as inside li. That's acceptable.
Thus:
Knowledge and Skills Requirements
then - Strategic & Business Skills: ...
etc.
We need to extract each subcategory content.
Strategic & Business Skills: "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."
Analytics & Data Science Skills: "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."
AI & Emerging Technology Skills: "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 & Technology Skills: "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 LearningPython and R, Modern cloud analytics architectures.API and data integration concepts, Data governance and metadata management."
Leadership Competencies: "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."
**Supervision Responsibilities**:
Content: "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 skillsIndependently 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."
We need to split into list items.
**Other Requirements**:
Content: "Due to global nature of the role; travel and willingness to work alternative hours will be required.Due to global nature of the role; English language skills - excellent written and verbal communication will be required."
Make list.
**Job Requirements**:
We have Education, Certification Requirements, Experience.
We could make a heading Job Requirements and then sublists.
Education: "Bachelor’s degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline.Master's degree preferred."
Certification Requirements: "Higher professional or master’s qualification in a related
. We must not repeat job title as heading. So no heading "Talent Advanced Analytics Lead". Good. Let's extract content. Intro: "At EY, we’re all in to shape your future with confidence. We’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." Then "The opportunity 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." That's prose. Then "Essential Functions:" then bullet list with subheadings. We can treat each subheading as its own section. Subheadings: - Talent Intelligence Strategy & Executive Advisory - Advanced Analytics & AI Solutions - Generative AI, Copilot & Agentic Solutions - Data Products & Platform Leadership - Insights, Storytelling & Executive Communications - Leadership & Capability Development - Analytical/Decision Making Responsibilities - Knowledge and Skills Requirements (with subcategories) - Supervision Responsibilities - Other Requirements - Job Requirements (Education, Certification Requirements, Experience) - What We Offer You (Canada) (benefits) We need to ensure we don't create sections with filler like "commensurate with experience". Not present. Now extract each section's content. **Talent Intelligence Strategy & Executive Advisory**: Content after that heading: "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, etcDeliver executive-ready narratives that combine quantitative insights with business context and future workforce implications.Influence enterprise talent priorities through predictive and prescriptive analytics." We need to split into list items? It's a series of sentences; could be
- each sentence. We'll make list.
**Advanced Analytics & AI Solutions**:
Content: "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."
Make list.
**Generative AI, Copilot & Agentic Solutions**:
Content: "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."
List.
**Data Products & Platform Leadership**:
Content: "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."
List.
**Insights, Storytelling & Executive Communications**:
Content: "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."
List.
**Leadership & Capability Development**:
Content: "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."
List.
**Analytical/Decision Making Responsibilities**:
Content: "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."
List.
**Knowledge and Skills Requirements**:
We have subcategories: Strategic & Business Skills, Analytics & Data Science Skills, AI & Emerging Technology Skills, Data & Technology Skills, Leadership Competencies.
We could make a heading
Knowledge and Skills Requirements, then under it subheadings? But only
allowed; we could make each subcategory its own
under Knowledge and Skills Requirements? Might be too many sections but okay. However instruction: prefer a few substantive sections over many thin ones. Could combine into one section with subheadings using
? Not allowed. Maybe we keep each subcategory as its own
but that'll be many sections. Could instead make a single Knowledge and Skills Requirements section with
- where each li contains the subcategory heading bold? But we need to preserve content; we can embed subheadings as inside li. That's acceptable.
Thus:
Knowledge and Skills Requirements
then- Strategic & Business Skills: ... etc. We need to extract each subcategory content. Strategic & Business Skills: "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." Analytics & Data Science Skills: "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." AI & Emerging Technology Skills: "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 & Technology Skills: "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 LearningPython and R, Modern cloud analytics architectures.API and data integration concepts, Data governance and metadata management." Leadership Competencies: "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." **Supervision Responsibilities**: Content: "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 skillsIndependently 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." We need to split into list items. **Other Requirements**: Content: "Due to global nature of the role; travel and willingness to work alternative hours will be required.Due to global nature of the role; English language skills - excellent written and verbal communication will be required." Make list. **Job Requirements**: We have Education, Certification Requirements, Experience. We could make a heading Job Requirements and then sublists. Education: "Bachelor’s degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline.Master's degree preferred." Certification Requirements: "Higher professional or master’s qualification in a related
- where each li contains the subcategory heading bold? But we need to preserve content; we can embed subheadings as inside li. That's acceptable.
Thus: