AI Platform Build Manager

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Job Title: AI Platform Build Manager

Role Overview:

In the role of AI Platform Build Manager within EY GDS's Managed Services “AI for AI” team, you will be at the helm of pioneering AI/ML and Agentic project deliveries, with a keen focus on leveraging AWS or Azure GenAI, NLP, and Transformer models to drive innovation and solve complex challenges. Your leadership will be instrumental in managing a portfolio of Agentic engagements, fostering strong relationships with global clients and EY stakeholders, and steering your team towards delivering excellence. You will play a critical role in nurturing a team of high-caliber professionals, cultivating a culture of high performance, and maintaining EY's reputation as a leader in AI/ML and Agentic solutions.

Key Responsibilities:

• Direct the complete lifecycle management of advanced analytics, Agentic ML, AI, and GenAI initiatives, with a focus on NLP and Transformer models, ensuring flawless integration with cloud services.
• Act as a mentor to junior team members, providing them with the training and insights needed to become proficient in AI/ML and cloud technologies.
• Display outstanding project management skills, leading the charge in the successful delivery of complex AI/ML projects, adhering to tight deadlines, and exceeding client expectations.
• Engage actively in problem-solving and hands-on technical delivery, committing to the highest levels of quality and pushing the envelope of innovation.
• Analytical Problem Solving – Possess the ability to dissect problems from a holistic perspective, rather than being constrained by specific techniques.
• Planning: Demonstrate the capacity to make significant contributions to both day-to-day operations and long-term strategic planning.
• Industry Knowledge - Stay informed about the latest developments in Data Science and AI, and adeptly apply this knowledge to a variety of scenarios.
• Integrated View - Skillfully consolidate diverse perspectives, data sources, and methodologies to address and resolve client issues effectively.
• Relationship Management - Cultivate and maintain strong, healthy relationships and partnerships with clients, EY partners, senior leaders, and team members at all levels.
• Knowledge of Analytical Tools - Have a solid understanding of the foundational features of Data Science tools such as Python, R, or SAS.