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Horace Mann

Director, Analytics Engineering

Horace Mann

. Provide strategic direction and overall accountability for the Life & Retirement analytical engineering function .

Posted 10/22/2026full-timeRemote • United StatesSeniorLead💰 $124,200 - $175,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates advanced expertise in analytical engineering, data architecture, and data modeling, with a strong focus on building scalable cloud-based data solutions and establishing data governance standards. Proven ability to lead technical teams and translate business priorities into actionable data strategies.

Highest-signal resume keywords
Analytical EngineeringData ArchitectureData ModelingCloud-Based Data SolutionsData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalyticsData EngineeringBusiness IntelligenceSQLPythonCI/CD PracticesData QualityData TransformationEnterprise Data Product DevelopmentTechnical Direction
Soft Skills
Strategic ThinkingCommunicationCollaborationDecision-MakingLeadership
Tools & Technologies
SnowflakeDbtPower BISemantic Models
Certifications & Qualifications
Bachelor's DegreeMaster's DegreeMBA
Industry Keywords
InsuranceRetirementFinancial ServicesRegulated Industry

Tech Stack

Tools & technologies
CloudPythonSQL

About the role

Key responsibilities & impact
  • Provide strategic direction and overall accountability for the Life & Retirement analytical engineering function
  • Translate business priorities into roadmaps for governed data products, semantic models, curated datasets, and reusable transformation frameworks
  • Establish scalable engineering practices that improve data quality, reliability, accessibility, adoption, and speed to insight
  • Provide architecture direction and technical quality oversight for analytical engineering solutions
  • Establish standards for data modeling, semantic layers, data quality, testing, validation, documentation, governance, monitoring, observability, reliability, automation, CI/CD, and reusable transformations
  • Guide development of trusted analytical data products and governed metric definitions
  • Oversee scalable cloud-based data solutions aligned with enterprise architecture, security, and governance requirements
  • Manage initiatives from intake through development, implementation, adoption, and production support
  • Establish portfolio priorities, allocate capacity, and manage resources, dependencies, and risks
  • Monitor portfolio performance and ensure measurable business value
  • Lead development and implementation of Horace Mann's enterprise data warehouse
  • Partner with Life & Retirement leadership, Analytics, Enterprise Data, Architecture, Security, Data Governance, and Technology teams
  • Translate complex business requirements into scalable data strategies and engineering priorities
  • Lead, coach, and develop analytical engineering professionals
  • Establish performance expectations, development plans, and succession strategies
  • Champion modernization, automation, standardization, reusable frameworks, and continuous improvement

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related quantitative field, or equivalent relevant professional experience
  • 8+ years of progressive experience in analytics engineering, data engineering, business intelligence, data modeling, or related disciplines
  • 3+ years of experience leading technical teams, technical leads, or a significant technical delivery portfolio
  • Demonstrated success building trusted, reusable analytical data products, governed metric and semantic layers, and scalable cloud-based data solutions
  • Advanced expertise in analytical engineering, data architecture, data modeling, and enterprise data product development
  • Proven ability to establish technical direction and oversee complex analytical engineering initiatives
  • Strong understanding of data governance, data quality, security, and enterprise architecture principles
  • Experience translating business priorities into technical roadmaps and measurable business outcomes
  • Demonstrated ability to lead organizational change, implement scalable engineering practices, and drive adoption of new capabilities
  • Strong strategic thinking, communication, collaboration, and decision-making skills
  • Preferred: hands-on experience with Snowflake, dbt or comparable transformation tools, Power BI semantic models, SQL, Python, and CI/CD practices
  • Preferred: experience in insurance, retirement, financial services, or another regulated industry
  • Preferred: Master's degree, MBA, or advanced quantitative degree

Benefits

Comp & perks
  • Bonus
  • Remote work
  • Periodic travel may be required
  • Special rates and benefits for educators (company offering)