EY seeks a visionary Associate Director to lead the transformation and scaling of AI and analytics products within the Global Insights function. This pivotal role enhances EY professionals with unique market, sector, and thematic insights, strengthening the EY brand, deepening client relationships, and driving commercial impact.

This position is at the forefront of business strategy, research, insights, analytics, product innovation, and emerging technology. The goal is to translate AI ambitions into robust, scalable, and adopted enterprise capabilities.

The Associate Director will oversee a portfolio of AI and analytics products, decision-support tools, and proprietary models. These solutions will integrate advanced analytics, machine learning, large language models (LLMs), AI agents, and modern data platforms to deliver intelligent insights at scale within EY's enterprise AI ecosystem. Collaboration with research teams, sector specialists, and subject-matter experts will be key to applying AI in high-impact research programs.

As a senior player-coach, you will set direction for complex initiatives, mentor a multidisciplinary team in AI product management, data science, data engineering, and analytics. Partnering across various enterprise functions, you will translate strategic priorities into scalable, governed products and innovative ways of working.

Shape and champion the long-term AI and analytics strategy for EY Global Insights, aligning emerging capabilities with insight quality, differentiation, and commercial outcomes. Identify opportunities for generative AI, LLMs, AI agents, and advanced analytics across research, knowledge discovery, and decision support.

Develop a comprehensive transformation roadmap and target operating model, integrating people, processes, data, technology, and governance. Define the integration of Global Insights products with EY’s enterprise AI and data platforms.

Own the end-to-end lifecycle management of AI and analytics products, including strategy, roadmap, investment, and value realization. Lead the development of AI-powered capabilities for account intelligence, market sensing, and competitive analysis.

Define production and lifecycle standards for AI/analytics products, focusing on development, deployment, monitoring, and continuous improvement. Ensure solutions leverage modern enterprise cloud and data platforms, particularly Microsoft Azure services.

Collaborate with the Primary Research Lead to apply AI, data science, and statistical methods to research programs. Advise on appropriate analytical techniques and oversee rigorous, transparent modeling and analysis.

Build and lead a high-performing multidisciplinary AI and Applied Analytics team. Act as a player-coach, guiding delivery across AI product management, data science, and data engineering.

A minimum of 15 years of professional experience, with significant leadership in AI, analytics, digital transformation, insights, strategy, or product management. Proven success leading complex, enterprise-scale transformation programs and translating strategic vision into executable roadmaps.

Strong expertise in AI, machine learning, generative AI, and applied analytics, with experience building and scaling production-grade AI/analytics products in enterprise settings. Demonstrated ability to lead product portfolios, managing prioritization, investment, governance, and value realization.

Proficiency with LLM-enabled solutions, AI agents, enterprise knowledge systems, and human-in-the-loop models. Familiarity with modern cloud AI and data ecosystems, especially Microsoft Azure, Azure AI services, Azure Machine Learning, Azure OpenAI Service, and Databricks.

Working knowledge of MLOps, LLMOps, DevOps, CI/CD, model monitoring, and Git-based development workflows. Strong command of predictive modeling, statistical analysis, and machine learning methods, with the judgment to select appropriate techniques.

Experience collaborating with researchers, analysts, and thought-leadership teams is highly desirable. Exceptional executive communication, storytelling, and stakeholder management skills are essential for influencing senior global stakeholders.

Solid understanding of responsible AI principles, including privacy, intellectual property, data governance, security, human oversight, transparency, and explainability in enterprise delivery.