Senior Actuary & Data Steward: Prophet & Data Governance

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 Senior Actuary (FSA) to join our Data Steward team in Charlotte, NC, Newport Beach, CA or Omaha, NE
. This role follows a hybrid schedule of four days in the office (on-site). If you are not currently located near one of our offices, you will be required to relocate.

While construction is underway for our new Charlotte location, we are opening an interim location in early 2026, less than a mile from the Queensbridge Collective. This interim location will support our growing team through 2028, offering the resources and flexibility needed to build momentum as we establish our presence in the region.

Pacific Life is seeking a Senior Actuary (FSA) to support and elevate our actuarial data governance, model integration, and endtoend data processes across multiple product lines. In this highly collaborative and datacentric role, you'll work closely with the Actuarial and Data/IT teams to strengthen the consistency, quality, and strategic use of actuarial data throughout the enterprise.

If you're motivated by improving data reliability, enhancing modeling workflows, and serving as a key bridge between business needs and actuarial systems, this role offers a meaningful opportunity to shape how data drives outcomes.

How you'll help move us forward:

Data Coordination & Integration

• Coordinate prioritization and delivery of data changes across actuarial, IT, and business teams.

• Support integration of new or updated data sources into Prophet and other actuarial systems.

• Ensure Prophet tables and actuarial data structures remain aligned, consistent, and optimized across product lines.

• Work with business partners to understand how data movements impact results, providing clarity, analysis, and direction.

• Collaborate with business stakeholders to understand actuarial model requirements, ensuring data is structured appropriately to meet modeling needs.

• Assist in onboarding new products into production data pipelines and actuarial systems.

• Support assumption updates, asset/market scenario inputs, reinsurance changes, and other data updates.

• Partner with modeling teams to define optimal data approaches for new products that streamline regression testing and accelerate development.

• Develop and apply data validation rules, diagnostic checks, and cleansing routines.

• Identify future data issues that may impact quarter end reporting by understanding model run structures and policy mapping logic.

• Implement governance for centralized reference tables to ensure reproducibility and crossteam consistency.

• Maintain reference data tables (risk codes, cap rates, product mappings, file name assignments).

• Understand and manage relationships between data domains and Prophet inputs to ensure accuracy and completeness.

• Update cohort mapping and Prophet file references for new or revised products.

• Identify automation opportunities and areas for process improvement to enhance reliability and efficiency.

• Mitigate risks caused by new plan codes, new asset types, missing keys, or evolving table structures.

• Improve the stability and reproducibility of historical model runs and reporting cycles.

• Conduct exploratory data analyses on both input and output data.

• Provide insights and decision support to actuarial, finance, and business teams.

• Assist with reporting enhancements, ad hoc studies, and enterprise analytics initiatives.

• Develop clear and comprehensive…