Director, Investment Data & Analytics
National Life Insurance Company
| Company | National Life Insurance Company |
| Category | Uncategorised |
| Location | Addison |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 14 Aug 2026 |
| Last verified | 15 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Come join one of America’s fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures.
Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard.
We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good. About Us
NLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple – to allow NLG to keep its promises. How we do this – an obsessive focus on delivering investment results. We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest of standards, both as investors and teammates. While our process is based on rigor, our culture is based on our guiding principles: Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance Driven Learning, Relentless Pursuit of Excellence. These principles serve as the foundation of our team. They govern the way we conduct ourselves, how we interact with teammates and how we approach every investment decision. We act with the integrity and humility required to make the investment decision that is right for the firm, and ultimately our policyholders. Our culture has been deliberately built to foster curiosity and provide opportunities to learn and grow, both as people and investors. The flat and collaborative nature of our team promotes an atmosphere where the best ideas are continually expressed and rewarded. Our pursuit of excellence is unwavering.
Please note that we do not offer visa sponsorship for this position.
Role Summary
The Director, Investment Data & Analytics is responsible for the stewardship of NLG Capital's investment data ecosystem end-to-end, from investment accounting system inputs through the firm's internal data architecture and classification framework to the investment data warehouse and the reporting and analytics it supports. The role owns the integrity, consistency, and governance of investment data across its full lifecycle and serves as the primary business-side partner to IT in the design, enhancement, and operation of the investment data warehouse.
This is a hands-on leadership role for a practitioner who understands both the data infrastructure and the business destination, including feeds, ETL, reconciliation, exception management, ALM, investment committee and Board reporting, asset-class reporting, capital and rating agency deliverables. The ideal candidate brings strong insurance investment data experience, sound judgment, technical fluency, and the ability to translate effectively among investment professionals, accountants, and IT engineers. The role also champions a data-first culture and continuous improvement across the investment division.
This position currently offers an onsite work schedule, with the expectation that you will be in the office four (4) days per week during onsite core days. Our current onsite core days are Monday, Tuesday, Wednesday, and Thursday. The work schedule type and core days are subject to change with advance notification and manager discretion.
Essential Duties and Responsibilities
Implement and maintain the investment data classification framework, including asset class hierarchies, sector and rating schemas, security master and issuer reference data, and mappings across accounting, warehouse, and reporting layers.
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