Associate Director - Applied AI and Analytics

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AI, Analytics & Insights Transformation Lead Associate Director | EY Global Insights Experience Level 15+ Years Designation Associate Director The opportunity You will lead the transformation, development and scaling of AI and analytics products within EY’s Global Insights function, equipping EY professionals with differentiated market, sector, company and thematic insights that strengthen EY’s brand, deepen client relationships and drive commercial impact. Working closely with Global Insights leadership, you will shape and execute a multi-year AI and analytics transformation strategy. The role sits at the intersection of business strategy, research, insights, analytics, product innovation and emerging technology, with a focus on converting AI ambition into trusted, scalable and adopted enterprise capabilities. As the AI, Analytics & Insights Transformation Lead, you will own a portfolio of AI and analytics products, decision-support capabilities, self-service tools and proprietary models. These solutions may combine advanced analytics, machine learning, large language models (LLMs), AI agents, knowledge systems and modern data platforms to deliver differentiated intelligence at scale and integrate with EY’s broader enterprise AI ecosystem. You will also collaborate with the Primary Research Lead, sector specialists, analysts and subject-matter experts to apply AI and advanced analytical methods in high-impact research programs, uncovering novel insights that support thought leadership and decision-making. In this role, you will operate as a senior player-coach: setting direction and leading the most complex initiatives while building and mentoring a high-performing multidisciplinary team spanning AI product management, data science, data engineering, analytics and visualization. You will partner across Insights, Markets, Technology, Risk and other enterprise functions to translate strategic priorities into scalable, governed products and new ways of working. Key Responsibilities AI and Analytics Strategy • Shape and communicate the long-term AI and analytics strategy for EY Global Insights in partnership with senior leadership, connecting emerging capabilities to insight quality, differentiation, productivity, adoption and commercial impact. • Identify opportunities to leverage generative AI, LLMs, AI agents, agentic workflows, advanced analytics and decision intelligence across research, knowledge discovery, insight generation and decision support. • Define where AI should automate work, where it should augment human judgment and where human-led expertise should remain central. • Develop a prioritized transformation roadmap and target operating model that aligns people, process, data, technology, governance and adoption requirements. • Define how Global Insights products and capabilities integrate with EY’s enterprise AI, data and knowledge platforms, and represent the transformation agenda in senior leadership and governance forums. AI Product Development & Delivery • Own delivery and lifecycle management of a portfolio of AI and analytics products, including product strategy, roadmap, prioritization, investment choices, release cadence, adoption and value realization. • Lead development of AI-powered capabilities across areas such as account intelligence, sector intelligence, market sensing, competitive intelligence, research synthesis, thought leadership and decision support. • Ensure product development begins with a clearly articulated business problem, user need and value hypothesis rather than a technology-first solution. • Evaluate the appropriate use of LLMs, retrieval-augmented generation, knowledge graphs, AI agents, predictive analytics and other techniques, including build, buy, partner and enterprise-platform options. • Establish portfolio governance and performance measures to support evidence-based decisions on scaling, redesigning, integrating or retiring capabilities. MLOps, Data Platforms & Engineering Excellence • Define production and lifecycle standards for AI and analytics products, including development, validation, deployment, monitoring, observability, documentation and continuous improvement. • Ensure solutions leverage modern enterprise cloud and data platforms, with strategic oversight of Microsoft Azure, Azure AI services, Azure Machine Learning, Azure OpenAI Service, Databricks and related technologies. • Partner with enterprise architecture, data, cybersecurity, privacy, legal, risk and responsible AI teams to ensure solutions are scalable, interoperable, resilient, secure and aligned with EY standards. • Establish principles for data sourcing, provenance, quality, lineage, licensing, access, traceability and responsible use, including appropriate human review for AI-generated outputs. • Promote strong engineering disciplines including Git-based collaboration, code review, CI/CD, infrastructure automation and reusable delivery patterns, while ensuring technology choices remain subordinate to business and product outcomes. Market Research and Insight Development • In collaboration with the Primary Research Lead, identify opportunities to apply AI, data science and statistical methods to mixed-methods research programs on critical business and market issues. • Advise on appropriate analytical techniques, including statistical analysis, machine