Director Analytics Engineering - Life & Retirement

Horace Mann

WorldwideFully remoteFull TimeDirectorInformation Technology
USD 124,200–175,800 a yearPosted 4h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 4 hours ago · apply link checked 3 hours ago

About the role

Responsibilities

  • Provide strategic direction and accountability for the Life & Retirement analytical engineering function
  • Translate business priorities into a sequenced roadmap for governed data products and semantic models
  • Establish engineering standards for data modeling, data quality, CI/CD, and monitoring
  • Oversee cloud-based data solutions aligned with enterprise architecture and governance
  • Manage portfolio priorities, capacity, delivery commitments, and risks
  • Play a key leadership role in developing the enterprise data warehouse
  • Lead, coach, and develop analytical engineering professionals

Requirements

  • Bachelor's degree or equivalent relevant experience
  • 8+ years in analytics engineering, data engineering, BI, or data modeling
  • 3+ years leading technical teams or a technical delivery portfolio
  • Experience building governed analytical data products and cloud data solutions
  • Understanding of data governance, quality, security, and enterprise architecture
  • Strong communication, collaboration, and decision-making skills

Preferred Qualifications

  • Hands-on experience with Snowflake, dbt, Power BI semantic models, SQL, and Python
  • Experience in insurance, retirement, financial services, or another regulated industry
  • Master's degree, MBA, or advanced quantitative degree

Benefits

  • Salary range of $124,200 - $175,800 annually plus bonus
  • Remote position with periodic travel

About the Company

  • Horace Mann was founded in 1945 to serve educators with insurance and financial products.
  • The company serves more than 4,100 school districts nationwide and is listed on the NYSE (HMN).

What we look for

  • Bachelor's degree or equivalent relevant experience
  • 8+ years in analytics engineering, data engineering, BI, or data modeling
  • 3+ years leading technical teams or a technical delivery portfolio
  • Experience building governed analytical data products and cloud data solutions
  • Understanding of data governance, quality, security, and enterprise architecture
  • Strong communication, collaboration, and decision-making skills
  • Hands-on experience with Snowflake, dbt, Power BI semantic models, SQL, and Python
  • Experience in insurance, retirement, financial services, or another regulated industry
  • Master's degree, MBA, or advanced quantitative degree
PythonSQLData ManagementCI/CDData AnalysisCloudSnowflakeDBTPower BIData Engineering
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