Okay, I've searched for Director level Managed Services roles focused on AI/ML operations in California, Full Time positions requiring 12+ years of experience and a Bachelor's degree. I have found 76 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Director-level role in Managed Services for LLM and Agent Operations at PwC is fundamentally about bridging advanced AI/ML technologies with pragmatic, high-impact client solutions at scale. The core purpose is to lead and shape AI/ML-powered managed services offerings that drive business growth and innovation, while nurturing lasting client relationships and fostering a team culture centered on continuous improvement and thought leadership. The incumbent must not only possess deep technical expertise in AI/ML, including agentic AI frameworks, but also demonstrate an ability to navigate complex, cross-functional environments, balancing big-picture strategic priorities with detailed delivery execution. Leading large-scale engagements demands agility in stakeholder management, especially with C-level executives, and the capacity to identify market opportunities and translate them into scalable solutions. Success in this role looks like establishing PwC’s managed services as a market leader in AI/ML services, driving measurable business outcomes for clients and mentoring the next generation of AI talent. Strong problem-solving skills are essential, as this role requires making informed decisions amid ambiguity, resolving competing priorities, and innovating in a rapidly evolving technological landscape. The high travel requirement underscores the dynamic, client-facing nature of the position. The educational and experiential thresholds (bachelor’s degree with 12+ years, preferably a master’s in a relevant field) reflect the complexity of responsibilities and the leadership required to influence both internal teams and external clients effectively.

Company Analysis:

PwC operates as a dominant global professional services network with a strong emphasis on trust, quality, and solving significant societal and business challenges. Its positioning as a market leader in assurance, advisory, and tax services means it commands high standards and expects its senior professionals to uphold and advance the brand’s reputation globally. The company culture is likely fast-paced, innovation-driven, and deeply client-centric, with a cooperative but demanding work environment where integrity, inclusion, and commercial acumen are foundational. This creates an environment where a Director in PwC’s managed services must be both a visionary and a pragmatic executor, capable of motivating diverse interdisciplinary teams and engaging senior stakeholders. Organizationally, this role sits at a high visibility level within the Data & Analytics Engineering group, acting as a crucial linchpin between technology development, client strategy, and business growth initiatives. PwC’s networked structure encourages collaboration beyond silos, meaning the individual will need to engage effectively across global teams. Strategically, this hire supports PwC’s goal to leverage emerging AI/ML technologies at scale to reinforce its competitive edge and grow its managed services portfolio. The role’s success directly impacts PwC’s ability to innovate in digital transformation and maintain leadership in AI advisory services, marking it as a cornerstone position for future-proofing PwC's offerings in a disruptive tech landscape.

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

• Behavioral: Tell me about a time when you led a large-scale AI/ML project that required coordinating multiple cross-functional teams. How did you ensure alignment and success?
• Behavioral: Describe an instance when you had to manage competing priorities between client demands and internal resource constraints. How did you approach the situation?
• Behavioral: Can you share an experience where you fostered innovation within a team? What specific actions did you take to encourage creativity and new ideas?
• Behavioral: How have you mentored junior or mid-level team members in complex AI/ML domains? What strategies worked best to help them grow professionally?
• Technical/Role-Specific: How would you approach designing and scaling an AI/ML managed services offering that leverages agentic AI frameworks?
• Technical/Role-Specific: What methodologies do you use to stay current with emerging AI/ML technologies and identify opportunities to integrate them into service offerings?
• Technical/Role-Specific: Explain how you would engage C-level stakeholders during a digital transformation initiative that involves AI/ML-powered solutions.
• Technical/Role-Specific: Describe your experience in developing proposals and driving enterprise pursuits in AI/ML services. What elements make a proposal compelling in this space?
• Situational: Imagine you discover a significant technical gap in your AI/ML managed services team while in the middle of a high-stakes client engagement. How would you address this?
• Situational: If a client challenges the value or ROI of AI/ML solutions your team is proposing, how would you respond to reassure and realign expectations?
• Situational: You notice emerging trends in AI that could disrupt current service models. How would you lead your team and the broader organization to adapt proactively?
• Company Fit/Motivation: Why does PwC’s mission to build trust in society resonate with you, particularly in the context of AI/ML managed services?
• Company Fit/Motivation: How do you see your leadership style aligning with PwC’s values of quality, integrity, and inclusion?
• Company Fit/Motivation: What attracts you most about this Director role within PwC’s Data and Analytics Engineering team, and how do you envision contributing to its growth?
• Candidate Questions: Can you describe how PwC’s global network supports cross-team and cross-border collaboration on AI/ML initiatives?
• Candidate Questions: What are the current biggest challenges the AI/ML managed services team at PwC is facing, and how could this role help address them?
• Candidate Questions: How does PwC balance innovation and risk management when deploying AI/ML technologies in critical client environments?