Talent Intelligence & AI Strategy Lead

EY

Amsterdam

Hybrid

EUR 158,000 - 307,000

Full time

14 days+
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Job summary

EY is seeking a Talent Advanced Analytics Lead to shape future Talent Intelligence and Advanced Analytics strategy, combining executive advisory with AI innovation. You will lead scalable analytics products, AI-powered insights, and agentic solutions to empower leaders globally.

The role requires guiding data-driven decisions across planning, skills transformation, workforce evolution, and mobility. You will oversee a team of data scientists, analytics consultants, and product managers,

Qualifications

  • Bachelor’s degree in data science, analytics, statistics, CS or related discipline.
  • Master’s degree preferred.
  • 18–20+ years in Talent Analytics, Data Science or related fields.
  • Experience building enterprise-scale analytics and AI solutions.

Responsibilities

  • Define and execute Talent Intelligence strategy with global leaders.
  • Lead development of analytics products, AI-powered insights and data platforms.
  • Oversee governance, ethics, and adoption of AI-powered talent solutions.
  • Drive modernization of talent analytics ecosystem with cloud-native capabilities.
  • Present findings to executive talent leaders and drive decision-making.

Skills

Talent intelligence
Executive advisory
Consulting
Stakeholder management
Data storytelling
AI/ML foundations
Python & R

Education

Bachelor’s degree in data science or related field
Master’s degree preferred

Tools

Data Bricks
Microsoft Fabric
Power BI
Copilot Studio
Azure AI
SQL
Python
R

Job description

EY is seeking a Talent Advanced Analytics Lead to shape future Talent Intelligence and Advanced Analytics strategy, combining executive advisory with AI innovation. You will lead scalable analytics products, AI-powered insights, and agentic solutions to empower leaders globally.

The role requires guiding data-driven decisions across planning, skills transformation, workforce evolution, and mobility. You will oversee a team of data scientists, analytics consultants, and product managers,

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