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Data Analytics Director

Job in Newport Beach, Orange County, California, 92659, USA
Listing for: Pacific Asset Management, LLC
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst, Business Systems & Technology Analysis
  • Business
    Business Intelligence, Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 184680 - 225720 USD Yearly USD 184680.00 225720.00 YEAR
Job Description & How to Apply Below

Job Description:

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better.

Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own. We’re actively seeking a talented Director of Data Analytics to join our team in our Charlotte, NC, Omaha, NE or Newport Beach, CA office.

Relocation Assistance may be provided.

How you’ll help move us forward
  • Set the strategy, vision, and operating roadmap for Operations Data Analytics across multiple related teams, functions, or stakeholder groups.
  • Develop and execute 12-18 month business plans that define analytics priorities, delivery commitments, capacity requirements, governance routines, and measurable outcomes.
  • Translate long-term Operations and Transformation strategy into practical analytics capabilities, reporting standards, decision support, and execution plans.
  • Provide input into broader functional direction, enterprise data standards, and analytics operating models based on Operations needs and business priorities.
End-to-End Functional Ownership
  • Own the end-to-end Operations analytics function, including intake, prioritization, delivery, dashboard/reporting enablement, metric standardization, model validation, and stakeholder adoption.
  • Ensure analytics deliverables support multiple related teams and business processes rather than isolated reporting requests.
  • Establish clear service expectations, decision rights, quality standards, and escalation paths for analytics support across Operations.
People Leadership & Resource Accountability
  • Lead senior individual contributors accountable for analytics delivery, governance, reporting, and advanced analytical solutions.
  • Manage department capacity, workforce planning, prioritization, budget inputs, vendor/tooling needs, and resource allocation across strategic initiatives and operational support.
  • Develop leadership depth, analytical capability, business acumen, and execution discipline within the analytics organization.
  • Build a culture focused on quality, accountability, innovation, continuous improvement, and strong business partnership.
Executive Business Partnership
  • Serve as the primary analytics partner for Operations leadership, Operations Transformation, Technology, Finance, Risk, and other key stakeholders.
  • Convert business challenges into scalable analytical solutions, executive-level insights, measurable recommendations, and implementation-ready actions.
  • Partner with leaders to identify opportunities to improve customer experience, operational efficiency, quality, risk management, financial performance, and transformation outcomes.
  • Communicate insights through executive-ready narratives, dashboards, scorecards, and decision forums that connect tactical performance with strategic business direction.
Analytics, Reporting & Advanced Insights
  • Oversee the development, maintenance, and adoption of operational dashboards, KPIs, scorecards, self-service reporting, and decision-support tools.
  • Ensure reporting is accurate, trusted, timely, standardized, and meaningful for business users and executive audiences.
  • Guide advanced analytics initiatives and work closely with Data Science team when appropriate on trend analysis, forecasting, capacity planning, performance measurement, scenario modeling, and predictive analytics.
  • Promote automation…
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