Director, Analytics Engineering

🕒 October 22

🇺🇸 United States – Remote

💵 $124.2k - $175.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Horace Mann

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1945

🛡️ Insurance

💸 Finance

📚 Education

Insurance • Finance • Education

Horace Mann is a company that provides comprehensive insurance and financial solutions tailored for educators and public sector workers. The company offers a wide range of insurance options including auto, home, renters, liability, life, and supplemental insurance. In addition to insurance, Horace Mann provides retirement and financial strategies, such as 529 College Savings Plans, investment management, and student loan solutions designed specifically to help educators. They are committed to supporting educators through various programs, workshops, webinars, and partnership initiatives that aid in professional and personal financial wellness. Horace Mann is recognized for its strong financial stability and ethical governance practices, ensuring security and privacy for its nearly one million educator clients across the nation.

📋 Description

• 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

• 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

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

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