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Head of Document, Ai,
3 months ago
**Head of Document Ingestion & Engineering**
Chubb is the world’s largest publicly traded P&C insurance company and a leading commercial lines insurer in the United States. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. We combine the precision of craftsmanship with decades of experience to conceive, craft and deliver the very best insurance coverage and service to individuals and families, and businesses of all sizes.
Chubb is also defined by its extensive product and service offerings, broad distribution capabilities, direct-to-consumer platform partnerships, exceptional financial strength and local operations globally. The company serves multinational corporations, mid-size and small businesses with property and casualty insurance and risk engineering services; affluent and high net worth individuals with substantial assets to protect; individuals purchasing life, personal accident, supplemental health, homeowners, automobile and specialty personal insurance coverage; companies and affinity groups providing or offering accident and health insurance programs and life insurance to their employees or members; and insurers managing exposures with reinsurance coverage.
**Role Description**
**Requirements**:
The leader must have a demonstrated track record of delivering results in a matrixed environment with a focus on Data Engineering. Given Chubb’s global presence, the leader must also possess strong collaboration, partnership, and negotiation skills with an orientation towards driving tangible business results. This leader must also serve as a change agent and drive the engineering process of modernizing our document ingestion workflows to meet the emerging needs of the Company.
- Lead efforts to extract and ingest valuable data from structured & unstructured data sources, harnessing cloud, data and AI technologies to make data-driven decisions more accurate and efficient.
- Lead and manage engineering teams, including recruiting, mentoring, and coaching engineers to deliver high-quality solutions on time and within budget.
- Develop and deploy document AI solutions, including OCR, NLP, entity recognition, and information extraction in a production environment.
- Drive adoption of document data engineering best practices using programming languages such as Python, Java, or C++, and familiarity with relevant frameworks and libraries for AI and big data, such as TensorFlow, Apache Spark, Databricks or Snowflake.
- Develop and execute a strategic roadmap for document AI engineering initiatives to streamline documentation classification, extraction, enrichment workflows, reducing manual efforts, and improving efficiency.
- Collaborate with claim/underwriting teams to leverage data and AI engineering to streamline workflow processes and improve customer experience.
- Provide strategic guidance, set clear goals, and continuously assess and develop team capabilities.
