AI Engineering & Strategy - Senior Manager - US Consulting

Location: Anywhere in Country

 

At EY, we’re all in to shape your future with confidence. 

 

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.  Join EY and help to build a better working world.

 

Tech Consulting, AI & Quantitative Modeling, AI Engineering and Strategy Senior Manager

 

EY delivers unparalleled cross functional tech consulting services in artificial intelligence, big data and cloud engineering.  We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients.  Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. Come help define the future of AI.

 

The opportunity

EY is significantly investing in their award-winning AI & Data practice. You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering.  We’ll look to you to provide consulting services to ensure AI solutions are properly engineered and maintained to support the ongoing business needs of our clients.

 

This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.  We are looking for leaders at the intersection of Artificial Intelligence strategy and the scaling of AI and Machine Learning Operations capabilities

 

Your key responsibilities

As an AI Senior Manager, you will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. 

 

You will be leading a team working with a wide variety of clients to define, develop and operationalize their AI strategy at scale. 

 

Skills and attributes for success

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge.

 

• Developing and executing a comprehensive AI Strategy that aligns with the client’s goals, mission and vision
• Leading teams of AI engineers and data scientists in delivery of modern Machine Learning and AI solutions for clients
• Staying abreast of AI technology trends and provide directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem
• Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale
• Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps to implement and sustain solutions in the client’s platform of choice
• Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe
• Understanding clients’ overall data, AI and technology landscape and business priorities and success measures
• Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)