AI & Data - Responsible AI (RAI) - 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.

 

Technology – Data and Decision Science – AI Native Engineering – Manager

Responsible AI (RAI)

 

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.  Come help define the future of AI while adhering to ethical, compliance and regulatory requirements. 

 

The opportunity
EY is significantly investing in their award-winning AI & Data practice. You will work with teams to help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes in a responsible manner. In addition, your teams will play a pivotal role for in helping our clients integrate ethical, fairness, transparency, and accountability considerations into their AI initiatives. You will help our clients navigate AI governance and risk management challenges by working with interdisciplinary teams.  You will have the opportunity to expand your knowledge on risk management and AI regulations while developing your skill set to keep up with the ever-growing demands of AI capabilities. This is a high growth area with plenty of opportunities to enhance your skillset and build your career. 

Your role will involve researching, building, and implementing scalable AI systems that are built with a foundation in responsible AI practices. You will enhance organizational processes to enable ethical AI development and deployment, and infuse development with risk management such that it enables responsible scaling of AI, all while collaborating with a talented team of data and analytics professionals.

 

Your key responsibilities

As a Responsible AI Manager, you will work as part of a team with the opportunity to lead engagement teams, day-to-day delivery of projects, with a wide variety of clients to define, develop and operationalize their AI strategy, governance and risk management framework, ModelOps architecture and other capabilities adhering to their internal enterprise level policies and procedures and required regulatory compliance and security requirements. 

 

You will be joining a dynamic and interdisciplinary team of scientists, engineers, business and risk professionals who love to tackle the most challenging scalability 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.

 

In this role, you will contribute significantly to the delivery of innovative AI and AI governance solutions. You will spend your time on key responsibilities that include:

• Researching and implementing responsible AI practices that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness, including co-ordination with data security and privacy practices.
• Monitoring and optimizing learning processes to improve high-performance models.
• This position may have travel requirements as needed to engage with external clients regularly.

 

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential. 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.

• Strong analytical and decision-making skills to guide project direction.

• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain r