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Manager, Operational Analytics

Job in Montpelier, Washington County, Vermont, 05604, USA
Listing for: National Life Group
Full Time position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 96000 - 140000 USD Yearly USD 96000.00 140000.00 YEAR
Job Description & How to Apply Below

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.

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

Role Summary

The Manager, Operational Analytics leads a team of analytics professionals supporting National Life Group's Service and Operations leaders. The role helps those leaders make informed decisions, improve performance, and create better experiences for agents and customers by turning complex data into clear insights and practical recommendations.

The Manager develops analysts into trusted business partners, guides team priorities, and strengthens analytical practices across the function. The role also advances the responsible use of artificial intelligence, automation, data visualization, and self‑service analytics, and partners closely with operational leadership to align analytical work with business value.

The ideal candidate is a people leader who combines analytical expertise with business judgment, curiosity, and the ability to build strong relationships across an organization.

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
  • Lead, coach, and develop a team of analytics professionals, setting clear expectations and supporting performance, growth, and career development.
  • Partner with Service and Operations leaders to understand business challenges, frame analytical questions, and recommend effective approaches.
  • Guide the delivery of dashboards, reporting, forecasting tools, analytical investigations, and self‑service solutions.
  • Move the team beyond reporting by identifying trends, evaluating business implications, and developing actionable recommendations.
  • Own the intake and prioritization of analytics requests, balancing immediate operational needs with longer‑term initiatives and team capacity.
  • Establish consistent standards for analytical quality, data validation, documentation, visualization, and interpretation.
  • Identify opportunities to simplify work, automate recurring activities, and responsibly apply approved AI‑enabled tools.
  • Communicate priorities, findings, tradeoffs, and recommendations to technical, operational, and leadership audiences.
  • Apply sound judgment to complex and sometimes ambiguous challenges, setting short‑term priorities that support broader Service and Operations objectives.
  • Create an inclusive, collaborative, and accountable team environment grounded in National Life Group's values and Servant Leadership Tenets.
  • All other duties as assigned.
Minimum Qualifications
  • Bachelor's degree and eight or more years of related experience; an advanced degree and five or more years of related experience; or twelve or more years of total combined post‑secondary education and relevant work experience.
  • Experience in operational analytics, business intelligence, data analytics, decision support, or a related discipline.
  • Demonstrated success leading, coaching, and developing employees.
  • Ability to translate complex data into clear business insights, recommendations, and leadership‑ready communications.
  • Experience managing competing priorities and allocating resources based on business value, urgency, effort, risk, and strategic alignment.
  • Proficienc…
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