Senior Manager - Generative AI

Job Summary

Assistant Director AI / GenAI (Go-To-Market)

The Data and Analytics team is a multidisciplinary technology team that delivers client projects and solutions across data mining and management, visualization, business analytics, automation, statistical insights, and AI/GenAI. Assignments span a wide range of countries and industry sectors.

The opportunity

We are looking for an Assistant Director - AI/GenAI - with a strong Go-To-Market (GTM) focus. The candidate in the role will define and drive the AI GTM strategy, build differentiated solution narratives and value propositions, and develop industry-specific solutions and use cases across Financial Services; Consumer, Products and Retail; Healthcare and Wellness; Manufacturing; Supply Chain; Telecom; Real Estate; and other sectors. A central part of the role is scaling AI/GenAI capabilities through business development, thought leadership, and talent development.

Your key responsibilities

• Define and execute the AI/GenAI Go-To-Market (GTM) strategy in alignment with business priorities and identify high-value AI transformation opportunities across functions and industries.
• Drive business development by originating new client opportunities, leading proposal development, and actively participating in pitches for existing and prospective accounts.
• Own executive-level client relationships by serving as a trusted advisor, ensuring delivery excellence, and identifying opportunities to expand client impact.
• Build AI solution narratives, value propositions, and differentiated messaging, and develop industry-specific AI use cases and business cases.
• Develop and commercialize thought leadership on emerging trends, including Generative AI, Agentic AI, autonomous workflows, and AI-powered analytics.
• Build reusable AI/GenAI intellectual property (IP), including proprietary frameworks, accelerators, and new offerings that differentiate EY's capabilities in the market.
• Develop, review, and implement solutions using AI, machine learning, and deep learning, and develop APIs using Python.
• Lead the development and implementation of Generative AI applications using open-source models (Llama, BERT, Mistral, etc.) and closed-source models (OpenAI GPT models, Microsoft Azure Cognitive Services, Claude, Cohere, etc.).
• Design and optimize solutions that leverage vector databases for efficient storage and retrieval of contextual data for LLMs.
• Understand business priorities and sector dynamics, and identify white spaces and opportunities for analytics and AI applications.
• Manage large and mid-sized projects, ensure smooth service delivery across assigned products, engagements and/or geographies, and work with project managers to address resource needs and gaps.
• Coach and mentor managers and junior colleagues, investing in the growth of EY's AI/GenAI talent and team culture.
• Collaborate across D&A and adjacent practices to bring integrated, high-impact AI solutions to clients' most complex challenges, and provide expert review across projects.

Skills and attributes for success

• AI & Data fluent: Strong understanding of AI, Generative AI, Agentic AI, machine learning, and data and analytics, with the ability to integrate data, AI/GenAI platforms, and analytics into large-scale enterprise transformations and articulate a clear point of view on the evolving agentic AI landscape.
• A proven business developer: Experienced in consulting, solutioning, pre-sales, product strategy, or technology GTM, including managing proposal processes, leading client pitches, growing accounts, and identifying and pursuing new opportunities.
• A leader and collaborator: Energized by managing high-performing cross-functional teams and building trusted, long-term relationships with senior client stakeholders.
• A structured thinker: Able to navigate ambiguity, decompose complex business and technology challenges, and deliver clear, actionable solutions with executive-level communication.
• Ability to translate technical capabilities into measurable business outcomes.
• Ability to work creatively and systematically in a time-limited, problem-solving environment.
• Reliable and ethical, with high professional standards.
• Flexible, curious, and creative, with openness to new ideas and the ability to propose innovative solutions.
• Strong interpersonal skills and a positive, collaborative working style.
• Intercultural intelligence and experience working across multicultural, distributed-delivery teams.
• Ability to manage multiple priorities, meet tight deadlines, and drive projects to completion with minimal supervision.

To qualify for the role, you must have

• MBA or master's degree in Business, Technology, Data Science, or a related field.
• 11-14 years of relevant work experience in developing and implementing AI and machine learning solutions; deployment experience in Azure is preferred.
• Proven experience in AI transformation programs, with a track record of pipeline generation, proposal development, and deal support.
• Experience building and commercializing AI/GenAI offerings, assets, or IP.
• Exposure to enterprise architecture, data governance, and automation platforms.
• Experience guiding teams on AI/Data Science projects and communicating results to clients.
• Familiarity with implementing solutions in the Azure cloud framework.
• Experience applying statistical techniques such as linear and non-linear regression, classification, optimization, forecasting, and text analytics.
• Familiarity with deep learning and machine learning algorithms and popular AI/ML frameworks.
• Minimum of 6 years of experience working with NLG, LLM, and deep learning techniques, including neural network approaches.
• Expertise in implementing applications using open-source and proprietary LLM models, and proficiency with LangChain-type orchestrators or similar Generative AI workflow management tools.
• Minimum of 6-9 years of programming experience in Python.
• Experience with the software development life cycle (SDLC) and principles of product development.
• Excellent presentation, written, and verbal communication skills.