AI Engineering - Senior Manager - Consulting - Location OPEN

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. Join us and build an exceptional experience for yourself, and a better working world for all.   The exceptional EY experience. It's yours to build.   EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.  

​Tech Consulting, Data Strategy, Senior Manager, US (Responsible AI) 

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 help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. In addition, you will play a pivotal role for in helping our clients integrate ethical, fairness, transparency, and accountability considerations into their AI initiatives. You will have the opportunity to lead, stay abreast of AI technology trends, 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 and a high visibility role with plenty of opportunities to enhance your skillset and build your career. 

 

Your key responsibilities

As a Responsible AI Senior Manager, you will be leading a team of junior team members working 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. 

 

Skills and attributes for success

• Developing and executing a comprehensive AI Strategy that aligns with the client's goals, mission and vision and adheres to their enterprise policies and procedures and AI regulatory and compliance requirements
• Collaborating with the Risk Team to embed the risk framework into the end-to-end AI capabilities and model lifecycle management.
• 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 ModelOps target architecture in client's platform of choice
• Collaborating with clients to understand their business objectives and develop tailored Responsible AI strategies aligned with their values and regulatory obligations
• Designing and implementing ethical frameworks, guidelines, and policies to govern the development and deployment of AI systems, ensuring fairness, transparency, and accountability
• Leading efforts to identify and mitigate biases in AI algorithms and data, employing techniques such as fairness-aware machine learning and bias detection
• Collaborating with the client's team to integrate ModelOps solution into their existing ecosystem
• Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe
• Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes
• Understanding clients' overall data, AI and technology landscape and business priorities and success measures
• Strong team collaboration and experience working with a diver