Okay, I've searched for senior data governance and data quality analyst positions in Newport Beach, CA, with hybrid work options, in the financial services industry, requiring 6+ years of experience. I found 42 relevant roles matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Sr. Data Governance and Data Quality Analyst role at Pacific Life centers on ensuring that the company's vast and critical datasets meet high standards of quality, accuracy, and usability—fundamental for sound decision-making and regulatory compliance in the financial services industry. This is not just a technical job but a strategic one, requiring a blend of analytical rigor and collaborative stakeholder engagement to design, implement, and continuously improve data governance frameworks and quality observability processes. The role’s core responsibility is to bridge the gap between business needs and technical capabilities by defining data quality rules, resolving data anomalies, and promoting adherence to governance standards across multiple domains such as customer, finance, and compliance. Success in this role means enabling Pacific Life to confidently leverage their data assets to reduce risk, enhance operational efficiency, and support innovative product strategies. The candidate needs deep experience in establishing governance policies, familiarity with data quality tools, and a strong consultative approach to influence cross-functional teams. Beyond hard skills like SQL, Python, and data tools such as Collibra or Informatica, strong communication, stakeholder management, and project leadership are essential to navigate the company’s complex data ecosystem and drive cultural adoption of data quality principles. The role demands autonomy in problem-solving, since complex data issues often require balancing technical challenges with business impact, and pragmatic judgment to escalate and resolve critical anomalies. Early performance indicators likely include successful roll-out and adoption of data quality frameworks, measurable improvement in data health KPIs, and building effective partnerships across business and IT stakeholders.

Company Analysis:

Pacific Life is a venerable, stable leader in the financial services and insurance sector with nearly 160 years of history and a Fortune 500 standing. Its core mission revolves around providing financial security and innovative products that support long-term wealth and protection strategies for diverse customer segments. This legacy and scale shape a work environment that values collaboration, integrity, and purpose-driven impact—where employees are expected to contribute not only technical skills but also a mindset aligned with transforming the industry thoughtfully and responsibly. Cultural indicators suggest a balance between a structured approach and openness to innovation and employee empowerment, supported by hybrid work options and emphasis on wellbeing. For someone in the Sr. Data Governance and Quality Analyst role, this means engaging with a mature organization that prioritizes compliance and risk management but is increasingly focused on modernizing data practices to remain competitive. The role’s strategic importance is amplified by the company’s data-driven initiatives to enhance decision-making agility and customer-centric innovation. Positioned in Newport Beach within the Data Team, the role interacts heavily with leadership and cross-functional partners, demanding strong influence and collaboration skills. This role is essential to scaling the company’s data capabilities—supporting enterprise-wide data governance maturity while contributing directly to business resilience and future growth initiatives. The company’s commitment to diversity and inclusion also suggests that success will depend on cultural adaptability and a collaborative spirit.

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

• Behavioral: Tell me about a time when you had to resolve a complex data quality issue that involved multiple stakeholders. How did you manage communication and ensure resolution?
• Behavioral: Describe an experience where you had to influence senior leaders or business partners to adopt new data governance standards. What approach did you take?
• Behavioral: Share an example of a project where you implemented process improvements using lean methodology or a similar framework. What challenges did you face and how did you overcome them?
• Behavioral: Can you discuss a situation where you had to balance competing priorities and deadlines while maintaining high data quality standards?
• Technical: How do you approach defining and implementing data quality rules across diverse domains such as finance, compliance, and customer data?
• Technical: What experience do you have with data governance tools like Collibra or Informatica Data Quality? How have you used them to drive data observability?
• Technical: Explain how you would design a dashboard for tracking data quality KPIs. What metrics would you include and why?
• Technical: How familiar are you with cloud-based ETL and orchestration tools (e.g., Matillion, DBT)? Can you describe how these fit into a data quality framework?
• Situational: Imagine you discover a recurring data anomaly that is causing incorrect business reporting. What steps would you take to diagnose and resolve the issue? How would you communicate this to stakeholders?
• Situational: You are tasked with rolling out a new data governance initiative but encounter resistance from both technical teams and business users. How would you manage this challenge?
• Situational: Suppose a key data steward is unavailable, and a critical data quality decision is needed urgently. How would you proceed?
• Company Fit/Motivation: What attracted you to Pacific Life and this role specifically, considering the company's mission and industry?
• Company Fit/Motivation: How do you see your approach to data governance and quality aligning with the values and culture described by Pacific Life?
• Company Fit/Motivation: In your view, what role does data governance play in the financial services industry, especially in a company like Pacific Life?
• Questions to Ask Interviewer: Can you describe how the data governance function currently interacts with other departments here and what the biggest challenges are?
• Questions to Ask Interviewer: What are the key milestones or strategic objectives for data governance and quality you expect this role to impact in the next year?
• Questions to Ask Interviewer: How does Pacific Life support professional development for roles like this one, especially in emerging data technologies and governance best practices?