Okay, I've searched for Senior Manager roles in AI and Analytics consulting, with a focus on risk management, in Kansas City, MO, suitable for candidates with over 10 years of experience. I have found 27 positions that offer flexible work arrangements for you.

Sure. Here's the analysis:

Job Analysis:

As a Risk AI & Engineering Senior Manager at EY, the core focus of this role is to drive the AI strategy for diverse clients, especially in the risk consulting space. This position is designed for a candidate who will lead teams to develop and operationalize scalable AI solutions that align with clients’ business goals. The complexity arises from navigating a multifaceted technological landscape, where integrating AI while ensuring compliance and risk management is crucial. Key responsibilities include leading projects that require cross-functional collaboration, presenting solutions to stakeholders, and staying informed of advancements in AI technology. Candidates must not only possess strong technical acumen but also leadership qualities to guide interdisciplinary teams effectively. Success in this role looks like delivering innovative, high-quality AI solutions on time and maintaining adept communication with client personnel to foster trust and long-term partnerships.

Company Analysis:

EY operates in a competitive consulting environment, positioning itself as a leader in integrating advanced technology, particularly AI, into its services. As a global firm with a mission to build a better working world, EY prioritizes innovation, diversity, and ethical standards in its operations. The culture appears to be fast-paced and driven by collaborative problem-solving, making adaptability a key trait for any candidate. The role of Risk AI & Engineering Senior Manager will require significant visibility both within the firm and with clients, focusing on complex, high-stakes projects that can adapt to various client needs. Given EY's significant investment in AI and data practices, this position serves as a strategic hire aimed at enhancing EY's capabilities in AI-driven solutions, supporting both growth and transformation in client engagements. For someone considering a long-term career here, aligning with EY's values of inclusivity, innovation, and ethical practice would be essential for fitting into the culture and excelling in the role.

Absolutely. Here are some mock interview questions that could come up:

• Can you describe a time when you successfully led a technical project that involved cross-functional collaboration? What challenges did you overcome?
• Tell me about a situation where you had to influence a client or a team to adopt a new technology or process. How did you ensure buy-in?
• Share an experience where you encountered a significant obstacle while delivering an AI solution. How did you address it, and what was the outcome?
• How do you prioritize tasks and projects when managing multiple client engagements at once?
• What strategies do you employ to stay abreast of emerging AI technologies and industry trends? Can you give an example of how this knowledge has benefited a project?
• Explain your experience with deploying generative AI models and how you approach scaling these solutions for clients.
• How would you go about designing and implementing a ModelOps target architecture for a client? What considerations are crucial at each stage?
• Imagine you need to convince a skeptical client about the benefits of an AI-based risk management solution. What approach would you take?
• Why are you interested in this senior manager role at EY, specifically in the context of their AI and Data practices?
• How do you see your values aligning with EY's mission to build a better working world?
• What questions do you have about EY's approach to AI ethics and compliance, particularly in client engagements?
• Describe your experience working with diverse teams, particularly in a hybrid work model. How do you ensure effective collaboration?
• What techniques do you use to communicate complex technical findings to non-technical stakeholders?
• Can you share an example of a transformation project you led that involved both data science and cloud applications?
• What are the most important aspects of fostering client relationships in consulting, and how have you applied this in your previous roles?