Data Analytics Director

Pacific Life

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Newport Beach, CACharlotte, NCOmaha, NE
Salary
$184,680–$225,720 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $237k
This role $205k
$157k $296k
below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $193,622–$281,000 — the blue band above. At the midpoint, this role pays about $205k versus about $237k for comparable roles.

Based on 240 similar postings.

Employer

About Pacific Life

Pacific Life is a life insurance company offering a wide range of life insurance, annuity, and investment products and services to individuals, businesses, and pension plans. Industry: Life Insurance & Annuities

Pacific Life currently has 46 open roles on FindRole.

Listed pay typically runs $152,010–$185,790 across 27 roles with salary data.

Most-posted roles

View all roles at Pacific Life

At a glance

TL;DR · Data Analytics Director

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The Data Analytics Director leads a department-level analytics function supporting multiple related Operations teams and business partners. This leader establishes the vision, roadmap, governance model, and resource plan for analytics capabilities that enable trusted, data-driven decision-making. Key responsibilities include leading senior analytics professionals in operational reporting, dashboard development, metric definitions, data modeling, forecasting, and predictive analytics. The role serves as the primary data partner for Operations Transformation, owning the end-to-end analytics function to drive customer experience, quality, and efficiency. Required skills include proficiency in SQL, data modeling, and business intelligence tools like Power BI or Tableau. The position requires expertise in translating complex business challenges into scalable analytical solutions and executive-ready narratives within a complex organizational structure to improve operational performance and business value.

Skills

Power BI Tableau SQL Snowflake Azure AWS Google Cloud Data Modeling Predictive Analytics Machine Learning Data Governance Business Intelligence Data Visualization Data Engineering

What you'll do

  • Set and execute the Operations Data Analytics strategy, vision, and 12–18 month operating roadmap.
  • Lead senior analytics professionals in delivering operational reporting, dashboards, data modeling, and predictive analytics.
  • Manage department capacity, workforce planning, budget inputs, and resource allocation for strategic initiatives.
  • Serve as the primary analytics partner for executive leadership to convert business challenges into scalable solutions.
  • Oversee the development and maintenance of KPIs, scorecards, and self-service reporting tools.
  • Establish department-level standards for data models, metric definitions, business rules, and validation routines.
  • Partner with Technology and Risk teams to improve data quality, lineage, and enterprise governance.
  • Identify and implement automation and scalable reporting solutions to reduce manual effort and improve speed.

What we're looking for

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business, Economics, or a related field.
  • 10+ years of progressive experience in data analytics, business intelligence, reporting, or related analytical disciplines.
  • 5+ years of leadership experience managing analytics teams, including subordinate managers and senior individual contributors.
  • Demonstrated experience setting department-level analytics strategy, roadmaps, governance practices, and execution priorities.
  • Experience owning analytics delivery for multiple business functions or major enterprise initiatives within a complex organization.
  • Strong knowledge of data visualization and business intelligence tools such as Power BI or Tableau.
  • Experience with SQL, data modeling concepts, metric definitions, analytical assumptions, and reporting governance.
  • Master's degree in Analytics, Business Administration, Data Science, or related field (preferred).
  • Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud (preferred).
  • Experience with predictive analytics, AI-enabled analytics, machine learning, or advanced operational modeling (preferred).
  • Experience establishing analytics governance, enterprise reporting standards, or cross-functional data operating models (preferred).
  • Financial Services or Insurance industry experience (preferred).

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