Okay, I've searched for roles similar to AWS Data & AI in New York, requiring 10+ years of experience, targeting the Financial Services sector, with expertise in AWS Data and AI technologies, and offering flexible work arrangements. I have found 87 positions for you.

Sure. Here's the analysis:

Job Analysis:

The AWS Data & AI role at Capgemini Engineering requires a seasoned individual with over a decade of experience in AWS cloud architecture, focusing specifically on Data and AI solutions. Fundamentally, this individual is entrusted with leading AWS-related projects for financial services clients, emphasizing successful architecture and delivery, which encompasses a comprehensive understanding of both AWS technicalities and client needs. The responsibilities indicate a high level of hands-on work with AWS services and a strategic capability to oversee data governance, security, and compliance. Candidates will likely face complex challenges, such as optimizing workloads and delivering innovative AI/ML solutions while maintaining alignment with client objectives. Success in this role will be characterized by effective project delivery, client satisfaction, and active contribution to the organization's thought leadership and internal capability-building efforts. Moreover, performance metrics may revolve around billable hours, project completion, and the effectiveness of proposed solutions in pre-sale scenarios.

Company Analysis:

Capgemini occupies a pivotal space in the business and technology transformation industry, functioning as a key partner for organizations navigating their digital and sustainable transitions. With a broad global presence and a strong heritage, the firm is seen as a trusted advisor capable of unlocking technology's value, which significantly shapes the expectations of employees in this role. The culture likely reflects innovation and collaboration, emphasizing dual transitions that align with modern market needs. Employees are encouraged to think outside the box and engage in continual learning and development given the technological advancements in AI and cloud computing. In terms of team placement, this role will likely interact closely with financial services clients and cross-functional teams, providing high visibility within the organization. The strategic alignment of this position to Capgemini's overarching goals suggests that the hire is crucial for driving innovative data solutions and enhancing the firm's reputation in emerging tech, positioning the incumbent as a key player in shaping future service offerings.

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

• Behavioral Questions:
• 1. Tell me about a time when you had to lead a complex AWS project. What challenges did you face and how did you overcome them?
• 2. Describe an instance when you had to work extensively with cross-functional teams. What was your approach to ensuring collaboration?
• 3. Can you recall a situation where you had to mentor someone on AWS technologies? What steps did you take?
• 4. Give me an example of a time when you had to address compliance and security issues in a cloud architecture project. What actions did you take?
• Technical/Role-Specific Questions:
• 5. How would you architect a data lake on AWS for a financial services client to ensure optimal performance?
• 6. Describe your experience with AWS AI services like SageMaker. How have you implemented machine learning solutions in past projects?
• 7. What factors do you consider when optimizing AWS data workloads from both a performance and cost perspective?
• 8. Explain the importance of data governance and security when implementing AI solutions in a financial context.
• Situational Questions:
• 9. Imagine you are tasked with defining an AWS architecture for a client seeking to modernize their data analytics. What initial steps would you take?
• 10. If a key project milestone was at risk due to client-specified changes, how would you handle the communication and project realignment?
• Company Fit/Motivation Questions:
• 11. Why are you interested in working at Capgemini and specifically in the AWS Data & AI role?
• 12. How do you think your personal values align with Capgemini's commitment to digital and sustainable solutions?
• Questions for the Candidate to Ask the Interviewer:
• 13. What are the immediate challenges facing the AWS Data & AI team that you would like the new hire to address?
• 14. Can you discuss how Capgemini fosters innovation and continuous learning among its employees in engineering roles?
• 15. How does success in this role translate into the broader goals of Capgemini's financial services delivery?