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Horace Mann
Horace Mann
1 001 – 5 000 Қызметкерлер
H1B визасының демеушісіБілім беруҚаржыСақтандыру
Horace Mann provides insurance and financial services for educators and public sector workers. Its offerings include auto, home, renters, life and supplemental insurance, alongside retirement planning, investment management, 529 college savings plans and student loan solutions. The company also supports educators’ financial wellbeing through workshops, webinars and partnership programs. Job seekers can explore opportunities with Horace Mann, a company serving nearly one million educator clients across the United States.
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Компаниядағы жұмыс орындары

Director of Analytics Engineering

Lead analytics engineering for Horace Mann’s Life & Retirement business, shaping its enterprise data warehouse and governed data products. Build cloud data capabilities, guide technical strategy, and develop high-performing teams.

USАмерика Құрама Штаттары
124 200 $ – 175 800 $ / жыл
ҚашықтанТолық жұмыс күніАға маманЖетекшіҚажетті Тіл: ағылшын тіліАналитика инженері
PythonSQLБұлт

Сипаттама

  • Set strategy and take overall responsibility for analytics engineering across Life & Retirement.
  • Turn business priorities into roadmaps for governed data products, semantic models, curated datasets, and reusable transformation frameworks.
  • Build scalable engineering practices that improve data quality, reliability, accessibility, adoption, and time to insight.
  • Set architectural direction and oversee technical quality for analytics engineering solutions.
  • Define standards for data modeling, semantic layers, quality, testing, validation, documentation, governance, monitoring, observability, reliability, automation, CI/CD, and reusable transformations.
  • Guide the creation of trusted analytical data products and governed metric definitions.
  • Oversee scalable cloud data solutions that meet enterprise architecture, security, and governance requirements.
  • Manage initiatives from intake through development, implementation, adoption, and production support.
  • Set portfolio priorities, allocate capacity, and manage resources, dependencies, and risks.
  • Track portfolio performance and ensure initiatives deliver measurable business value.
  • Lead development and implementation of Horace Mann’s enterprise data warehouse.
  • Work with Life & Retirement leaders and teams across Analytics, Enterprise Data, Architecture, Security, Data Governance, and Technology.
  • Convert complex business needs into scalable data strategies and engineering priorities.
  • Lead, coach, and develop analytics engineering professionals.
  • Set performance expectations, development plans, and succession strategies.
  • Advance modernization, automation, standardization, reusable frameworks, and continuous improvement.

Талаптар

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related quantitative discipline, or equivalent relevant professional experience.
  • At least 8 years of progressive experience in analytics engineering, data engineering, business intelligence, data modeling, or related fields.
  • At least 3 years leading technical teams or leads, or managing a substantial technical delivery portfolio.
  • Success building trusted, reusable analytical data products, governed metric and semantic layers, and scalable cloud data solutions.
  • Advanced expertise in analytics engineering, data architecture, data modeling, and enterprise data product development.
  • Ability to set technical direction and oversee complex analytics engineering initiatives.
  • Strong understanding of data governance, data quality, security, and enterprise architecture principles.
  • Experience turning business priorities into technical roadmaps and measurable outcomes.
  • Ability to lead organizational change, establish 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 similar transformation tools, Power BI semantic models, SQL, Python, and CI/CD practices.
  • Preferred: experience in insurance, retirement, financial services, or another regulated industry.
  • Preferred: a master’s degree, MBA, or advanced quantitative degree.

Артықшылықтар

  • Bonus
  • Remote work
  • Periodic travel may be required
  • Special rates and benefits for educators offered by the company

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