Okay, I've searched for Senior Manager roles in AI and Risk Consulting, specifically targeting remote opportunities or those in Indianapolis. The positions require at least 10 years in technology consulting, skills in Python and MLOps, and a salary starting from $170,000. I have found 27 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Risk AI & Engineering - Senior Manager role at EY revolves around the intersection of artificial intelligence, risk consulting, and engineering, fundamentally tasked with developing AI strategies that drive business outcomes while ensuring compliance and risk management. Key responsibilities include leading teams to design scalable tech solutions, guiding clients through AI integration, and maintaining high-quality deliverables across various engagements. Given the complexity of AI deployments, candidates must navigate a landscape rife with technological innovations, regulatory considerations, and client-specific needs, fostering collaborative relationships across diverse teams. Success in this role will hinge not only on technical acumen but also on strategic thinking and problem-solving competencies, as the Senior Manager will tackle unprecedented challenges in AI that require both creative and methodical approaches to achieve scalable, operational solutions. High performance is likely measured by the ability to deliver results within budget and timelines while enhancing the client relationship and establishing EY as a trusted partner in their AI journey.

Company Analysis:

EY stands at the forefront of consulting, particularly in areas driven by technology and data analytics. As a market leader, EY's commitment to 'building a better working world' encompasses helping clients effectively leverage data and AI while fostering an inclusive, agile, and innovative work environment. The company values adaptability and a growth-oriented mindset, which shapes its culture as one where continuous learning and teamwork thrive. For a Senior Manager in AI & Risk, the organizational context is significant; this role intersects with multiple specialties across EY’s operations, implying a high degree of visibility and influence over strategic client projects. The collaborative nature of teams at EY reflects a strong emphasis on cross-functional engagement, aligning well with the expectations of fostering relationships with diverse stakeholders. Given the focus on AI and data-driven solutions, this role will directly support EY's strategic goals of expanding its AI capabilities and enhancing client value, presenting considerable opportunities for professional growth and impact in the industry.

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

• Behavioral Questions:
• 1. Can you describe a time when you led a team to develop an innovative solution using AI? What challenges did you face and how did you address them?
• 2. Tell me about a situation where you had to explain a complex technical concept to a non-technical client. How did you ensure they understood?
• 3. Describe a time when you had to manage conflicts within your team. What steps did you take to resolve the issue and what was the outcome?
• 4. Share an example of a project where data-driven decision-making played a critical role. How did you incorporate data into your strategy?
• Technical/Role-Specific Questions:
• 5. How do you ensure the scalability and maintainability of AI models in production? Can you walk us through the process?
• 6. What approaches do you recommend for implementing ModelOps in a client’s existing infrastructure?
• 7. Explain your experience with specific machine learning frameworks. How have you applied them in past projects?
• 8. Can you discuss your familiarity with cloud platforms and the significance of selecting the right one for AI deployments?
• Situational Questions:
• 9. Imagine you are leading a project that is falling behind schedule due to unforeseen technical challenges. How would you handle the situation?
• 10. If you discovered a compliance issue during the deployment of an AI solution, what steps would you take to address it with the client?
• Company Fit/Motivation Questions:
• 11. What interests you most about working at EY, and how do you see your values aligning with the company's mission?
• 12. How do you think your experience in risk consulting can contribute to EY’s goal of building a better working world with AI solutions?
• Questions for the Candidate to Ask the Interviewer:
• 13. How does EY’s AI & Data practice differentiate itself from competitors in the industry?
• 14. What are the current initiatives or future goals for the AI practice at EY that this role would directly impact?