Associate Director, Actuarial Systems & Data Solutions

Role Summary

Please note that we do not offer visa sponsorship for this position.

Essential Duties and Responsibilities

• Support the actuarial change management lifecycle for systems, data pipelines, model-related infrastructure, reporting processes, and production workflows.
• Assist with intake, prioritization, planning, and execution of actuarial data and systems requests across Actuarial Valuation and MCoE.
• Support compliance with company policies, actuarial governance standards, and regulatory expectations related to actuarial systems, data, and model-supporting processes.
• Partner with IT, Actuarial Valuation, and MCoE to improve data quality, consistency, accessibility, lineage, and controls across actuarial systems and platforms.
• Aid in enhancements to the Actuarial Data Platform and analytical capabilities supporting valuation, modeling, forecasting, experience studies, and financial reporting.
• Support data governance practices that improve the reliability, transparency, and usability of actuarial data across lines of business.
• Assess IT-sanctioned tools, platforms, and software capabilities for potential use in actuarial data processing, modeling, analytics, and reporting.
• Translate actuarial business needs into clear requirements, user stories, process documentation, and implementation plans.
• Support backlog management, roadmap execution, stakeholder communications, and prioritization discussions.
• Foster collaboration across actuarial, IT, finance, and business teams to ensure solutions are practical, sustainable, and aligned with enterprise technology standards.
• Support transformation initiatives involving actuarial models, data platforms, systems, processes, and controls.
• Support AI innovation opportunities by identifying practical use cases for automation, advanced analytics, and AI-enabled tools that improve actuarial data processing, modeling, reporting, controls, and decision-making.

Minimum Qualifications

• 8+ years of progressive experience in actuarial, finance, data analytics, technology, or related roles within the life insurance industry.
• Proven experience partnering with Actuarial, Finance, Data, and IT teams to support business-critical systems, data processes, analytical platforms, or reporting environments.
• Strong project management skills, including the ability to prioritize competing requests, manage timelines, track dependencies, and coordinate cross-functional deliverables.
• Strong understanding of data management principles, including data quality, data controls, reconciliation, lineage, documentation, governance, and issue resolution.
• Working knowledge of the system development lifecycle, including requirements gathering, change management, testing, deployment, production support, and control frameworks.
• Strong analytical and problem-solving skills, with the ability to diagnose issues, identify root causes, evaluate alternatives, and drive practical solutions.
• Demonstrated ability to translate business needs into clear requirements and partner with technical teams to design and deliver effective solutions.
• Ability to build relationships, influence without direct authority, and collaborate effectively across actuarial, technology, finance, data, and business teams.
• Strong written and verbal communication skills, including the ability to explain technical, data, and process concepts to both technical and non-technical audiences.

Preferred Qualifications

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Computer Science, Data Science, Finance, Engineering, or a related field.
• PMP, Agile, data management, cloud, technology, or related professional certifications.
• Hands-on experience or working knowledge of SQL, Databricks, Python, cloud data platforms, workflow automation tools, business intelligence tools, or similar technologies.
• Experience supporting complex system implementations, data platform enhancements, process automation, actuarial modernization, or enterprise transformation initiatives.
• Experience developing and maintaining business requirements, process documentation, control documentation, data lineage documentation, test plans, user acceptance testing materials, deployment plans, and production support procedures.
• Prior experience mentoring analysts, coordinating project teams, or serving as a lead for cross-functional initiatives.

AI Proficiency Expectations

• Leverage approved AI tools, where appropriate, to improve the efficiency, quality, and impact of their work.
• Stay curious and open to new AI-enabled ways of working.
• Exercise sound judgment by reviewing and validating AI-generated content.
• Maintain accountability for the accuracy, quality, fairness, and integrity of work products by adhering to National Life’s AI guiding principles.
• Use AI responsibly and in accordance with company policies related to confidentiality, data privacy, security, compliance, retention and intellectual property.

Benefits

The benefits package includes a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. The successful candidate may also be eligible to participate in National Life’s discretionary annual incentive programs, subject to the rules governing such programs. If hired, the employee will be in an "at-will position" and National Life reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.

Salary Pay Range

$114,375 - $167,750 USD

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