Okay, I've searched for Director Data Scientist roles in Phoenix, AZ within the banking and financial services industry, requiring 8+ years of experience in predictive modeling and machine learning, at large companies, with a salary range of $190,000 to$360,000. I found 27 positions for you. You can review them now.

Sure. Here's the analysis:

Job Analysis:

The Director of Data Science at USAA focuses fundamentally on leveraging advanced analytics to empower decision-making and drive business value within the organization, specifically for the military community they serve. This role requires not only technical expertise in data science and machine learning but also the ability to translate complex data insights into actionable strategies for various business units. A significant responsibility is to lead a team of Data Scientists, ensuring they effectively communicate their findings to both technical and non-technical stakeholders. Candidates will likely face challenges in navigating the intricacies of model governance and regulatory compliance while also striving to simplify processes across the model development lifecycle. Success in this role can be measured by enhancing the capabilities of the analysis team, maximizing business insights through data science, and fostering strong partnerships with various organizational leaders to promote data-driven decision-making. In the first 6-12 months, a successful Director will not only enhance technical processes but also influence strategic direction while maintaining compliance with regulatory standards.

Company Analysis:

USAA occupies a unique space within the financial services industry, specifically catering to the military community and their families. Their commitment to quality service is reflected in both their products and workplace culture, which values honesty, integrity, loyalty, and service. This mission-driven approach indicates a collaborative and supportive work environment where passion for serving members is paramount. Candidates considering this role should assess how their personal values resonate with the company’s culture. The Director of Data Science will likely interact with various levels of the organization, emphasizing the importance of cross-functional collaboration. This role aligns strategically with USAA's goals of becoming the leading financial services provider, particularly through the innovative use of data analytics. The emphasis on creating actionable insights through advanced analytical solutions highlights the role's significance in driving USAA's future directions, especially in enhancing competitivity and ensuring regulatory compliance.

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

• Behavioral: Tell me about a time when you had to lead a team through a challenging analytical project. What challenges did you face, and how did you overcome them?
• Behavioral: Describe an experience where you had to influence a cross-functional team to adopt a new technology or process. What approach did you take?
• Behavioral: Can you provide an example of a time when you had to communicate complex technical information to a non-technical audience?
• Behavioral: How have you handled a situation where your team did not meet a project deadline? What steps did you take to improve future performance?
• Technical: Explain how you would approach developing a predictive model to enhance customer engagement for USAA's financial services. What factors would you consider?
• Technical: How do you ensure compliance with model governance and regulatory expectations in your machine learning projects?
• Technical: What algorithms do you prefer when tackling classification problems? Can you discuss a scenario where you successfully applied one?
• Technical: Describe your experience with big data technologies like Hadoop or Spark. How have you applied them in previous projects?
• Situational: Imagine you identify a potential risk in a model your team has developed. How would you communicate this to your stakeholders and what actions would you take?
• Situational: Suppose a business unit presents a vague analytics request. How would you go about clarifying their needs and scoping the project?
• Company Fit: Why do you believe USAA's mission is important, and how do you think this role contributes to that mission?
• Company Fit: In what ways do your leadership style and values align with those that USAA promotes?
• Questions for the Interviewer: What types of advanced analytical projects is the team currently working on that you'd be leading?
• Questions for the Interviewer: How does USAA measure success for the Data Science team, and what key performance indicators are most important?
• Questions for the Interviewer: Can you describe the opportunities for professional development within the Data Science team at USAA?