AVP Data Engineering
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Job Summary
Leading the development and enterprise adoption of the Business Insurance ontology and knowledge graph, the full-time AVP Data Engineering will drive strategic initiatives, oversee a team of data professionals, and engage with executive stakeholders in a remote setting.
Key responsibilities
- Serve as the primary data and semantic advisor to business leaders, translating complex concepts into actionable business outcomes
- Own the vision and multi-year roadmap for the Business Insurance ontology and knowledge graph, ensuring alignment with enterprise goals
- Lead the design and execution of semantic data models and AI data pipelines to support analytics and decision automation
Required qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- 12+ years in data engineering and architecture, including 8+ years in semantic, ontology, or knowledge graph work
- 7+ years in senior leadership roles managing complex data and AI portfolios
- 5+ years of experience in commercial Property & Casualty insurance, with a focus on Small Business, Middle Market, or Specialty
- Deep expertise in semantic layer architecture, ontology modeling, and knowledge graph design at an enterprise scale
Complete Job Description
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