Senior Actuary; FSA - Data Steward

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

• 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 cross‑team 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 documentation for data processes, governance, and workflows.
• Provide training and support to actuarial and non‑actuarial partners to build shared understanding and transparency.

• Actuarial Credentials: FSA
• Education: Bachelor's in Actuarial Science, Mathematics, Statistics, Computer Science, or related field.
• Experience:
  • Strong background in data management, governance, data architecture, or actuarial data processes.
  • Experience working with actuarial models and data structures.
• Technical
  
  Skills:
  
  
  • SQL, scripting (Python/R), relational databases, data lakes, and data management platforms.
  • Experience with Snowflake, Prophet, or Poly Systems is a strong plus.
• Analytical Abilities: Skilled in interpreting complex datasets and diagnosing data issues.
• Communication: Ability to translate technical details into clear business language.
• Project Management: Effective at organizing workflows, timelines, and stakeholder alignment.
• Continuous Learning: Interest in expanding expertise in Prophet data architecture and modern data management approaches.

• Charlotte, NC: $152,370 - $186,230
• Newport Beach, CA: $167,670 - $204,930
• Omaha, NE: $144,810 - $176,990

The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are…