Okay, I've searched for Senior Manager roles in AI/ML managed services in California, full-time positions requiring a Bachelor's degree and 10+ years of experience. I have found 142 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

This Senior Manager role in Managed Services - specifically focused on Large Language Models (LLM) and Agent Operations - is fundamentally about leading the design, implementation, and delivery of sophisticated AI/ML-powered solutions to clients at scale. The candidate is expected to operate at the intersection of deep technical expertise and strategic leadership, managing complex, multi-disciplinary engagements that require not only hands-on knowledge of AI technologies (such as RAG pipelines and LLM-based solutions) but also the ability to navigate ambiguous, high-stakes environments with composure and clear judgment. Success here means driving operational excellence while fostering innovation and mentorship across teams. The role demands strong strategic vision to evolve service offerings proactively, influence C-level stakeholders, and embed governance and quality assurance in AI deployments. Critical skills go beyond technical acumen to include systems thinking, communication mastery, stakeholder engagement, and the ability to coach diverse teams, reflecting the complex nature of managing AI services in a managed services context. The high travel requirement (up to 60%) indicates frequent client-facing responsibilities and a need to adapt quickly to different business cultures and challenges. In essence, the role is a blend of a technical strategist, operational leader, and people manager focused on scaling AI-driven managed services with a strong adherence to professional and ethical standards.

Company Analysis:

PwC stands as one of the world’s largest and most influential professional services networks, operating across assurance, advisory, and tax sectors globally. This places the company as a stable yet continuously evolving market leader that is deeply invested in digital transformation and innovation, particularly in data, analytics, and AI. Such a context means this role sits at a strategic inflection point: PwC is expanding its AI/ML-managed services offerings to maintain competitive advantage and drive transformational outcomes for its clients. The culture at PwC is likely to be fast-paced, highly collaborative, and deeply rooted in quality, ethics, and inclusivity, as evidenced by its focus on diversity, governance, and professional standards. This environment values strategic thinking, continuous learning, and coaching — qualities essential for this Senior Manager to thrive. Organizationally, this role will have significant visibility, interfacing with senior leadership and cross-functional teams, embodying a leadership nexus to drive AI/ML innovation within managed services. The role perfectly aligns with PwC’s broader mission to build trust and solve critical business problems by leveraging advanced technologies, emphasizing a blend of business acumen, technology insight, and managerial excellence. Candidates will need to be adaptable, culturally aware, and comfortable leading amid both complexity and rapid technological advancements within a global professional services framework.

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

• Behavioral: Tell me about a time you led a team through a complex AI/ML project with ambiguous requirements. How did you maintain clarity and drive results?
• Behavioral: Describe an experience where you had to coach a diverse team of technical professionals. How did you tailor your approach to maximize their performance?
• Behavioral: Share an example of when you had to make a difficult decision to resolve a conflict within a cross-functional team. What was your approach and outcome?
• Behavioral: Can you discuss a situation where you used systems thinking to identify the root cause of a problem in AI service delivery?
• Technical: How would you design and implement a Retrieval-Augmented Generation (RAG) pipeline for a client requiring real-time information retrieval?
• Technical: What steps would you take to operationalize an AI solution in a managed services environment, ensuring governance and risk management compliance?
• Technical: Describe your approach to scaling an LLM-based managed services offering across multiple client engagements while maintaining quality standards.
• Technical: How do you keep up-to-date with emerging AI/ML technologies and translate that knowledge into practical managed services improvements?
• Situational: Imagine a high-profile client questions the accuracy and ethical use of an AI model your team deployed. How would you address their concerns and reinforce trust?
• Situational: You're managing a remote team with varying levels of AI expertise. One member is underperforming and hindering project timelines. How would you handle this?
• Situational: A key stakeholder requests a rushed deployment of an AI product that you believe is not fully validated. What steps do you take to manage expectations and ensure responsible delivery?
• Company Fit: Why are you interested in driving AI/ML managed services at PwC specifically, as opposed to other consulting firms or technology vendors?
• Company Fit: How do your personal values and leadership style align with PwC’s emphasis on trust, inclusivity, and professional standards?
• Company Fit: Given PwC’s mission to solve important societal issues, how would you integrate ethical AI principles into your managed services leadership?
• Questions for Interviewer: How does PwC envision the evolution of AI/ML managed services in the next 3 years, and what role would this Senior Manager play in that vision?
• Questions for Interviewer: Can you describe the typical team structure and collaboration model for large AI/ML engagements within PwC's Managed Services?
• Questions for Interviewer: What are the biggest challenges PwC currently faces in scaling AI-powered managed services, and how could someone in this role help overcome them?