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.
• Assist with 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.
• Audit 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).

Salary Pay Range

$114,375 - $167,750 USD

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National Life Group
1 National Life Dr
Montpelier, VT 05604