Controller, Accounting, Financial Compliance

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.

The Controller is a senior finance leader responsible for enterprise‑wide accounting integrity, consolidated financial reporting, and oversight of all finance operations. The Controller serves as the operational finance leader of the organization, ensuring financial accuracy, internal control strength, and disciplined financial execution across the entire organization, including compliance with regulatory standards. The role also leads the modernization of the accounting function through intelligent automation, advanced analytics, and AI‑enabled financial processes.

• Oversee preparation and timely delivery of monthly, quarterly, and annual financial statements under U.S. GAAP and Statutory accounting (NAIC).
• Lead the preparation and filing of Annual and Quarterly Statements, including all required supplements.
• Oversee accounting for insurance reserves, DAC, reinsurance transactions, investments, derivatives, and embedded features within Life and Annuity products.
• Manage general ledger integrity, chart of accounts, and accounting policy governance.
• Oversee month‑end and year‑end close processes to ensure accurate financial data.
• Lead enterprise accounting governance, including regulatory compliance, Model Audit Rule adherence, internal controls, and coordination of external audits and state examinations.
• Coordinate and manage audits with external auditors, state regulators, and internal audit teams to ensure smooth financial examination processes.
• Develop and enhance financial policies, procedures, and workflow automation to drive efficiency and effectiveness in financial reporting, aligning with CFO strategic goals.
• Build and develop a high‑performing accounting organization, establishing succession pipelines and elevating technical and leadership capabilities across the function.
• Lead the integration of AI, machine learning, and automation into accounting and reporting processes to improve speed, accuracy, and insight.
• Partner with Technology and Data teams to modernize financial systems architecture and data governance.
• Identify opportunities to deploy predictive analytics in areas such as reserving analysis, investment reporting, close acceleration, and regulatory compliance monitoring.
• Champion intelligent workflow automation across month‑end close, reconciliations, journal entry review, and audit support.
• Develop a roadmap for AI‑enabled financial reporting and internal control monitoring.
• Collaborate with leaders across the company to build a world‑class financial organization.
• Support M&A activities, due diligence, and integration efforts as needed.

• Bachelor’s degree in accounting required (CPA or other relevant certifications preferred).
• Minimum of 15 years financial services industry accounting experience. Life insurance industry experience strongly preferred.
• Big 4 Public Accounting experience considered a plus.
• Very strong interpersonal and communication skills.
• Strong knowledge of GAAP, SAP, and regulatory reporting requirements for insurance companies (LDTI, RBC, Reinsurance, Investment portfolio complexity).
• Experience working with insurance‑specific financial systems and software (e.g., Workday, Oracle, SAP, or other ERP systems).
• Inspirational leadership, coaching and a strong track record of developing talent.
• Ability to collaborate cross‑functionally and influence key stakeholders.
• Experience leading digital transformation or finance automation initiatives a strong plus.
• Familiarity with AI‑enabled finance tools (e.g., intelligent close automation, anomaly detection, NLP‑based reporting, predictive analytics platforms).
• Strong understanding of data architecture, data governance, and integration across ERP and actuarial systems.
• Comfort working with data science teams and translating financial requirements into analytical models.
• Experience…