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Head of Document Ingestion
4 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. 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; The successful candidate will be responsible for leading and driving transformative initiatives in data engineering, artificial intelligence, and machine learning to empower Chubb's digital transformation journey. This individual will have ample experience in innovative technology environments that embrace machine learning and AI as well as public cloud, open-source technologies and agile environments for document classification, ingestion, enrichment workflows.
We are looking for someone to lead and grow a talented team of data engineering professionals. This candidate will develop people, form strong working partnerships with business and technology leaders, plan and execute data ingestion engineering programs, formulate data and analytics strategies for solving business problems.
The leader should have superb data engineering, technical, business and communication skills to be able to work with functional leaders to define and prioritize key data needs, build data products and platforms. This role requires an individual with exceptionally strong cloud data engineering skills, experience implementing complex real-time data and analytics platform to produce actionable insights. Successful candidate will be a proven data engineering leader who thrives in a fast-paced environment and demonstrates strong attention to detail.
The leader must have a demonstrated track record of delivering results in a matrixed environment with a focus on Data Engineering. 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.
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.
Collaborate with claim/underwriting teams to leverage data and AI engineering to streamline workflow processes and improve customer experience.
Build, mentor, and lead a high-performing organization of data engineers specializing in document extraction, enrichment, visualization and business application integration.
Bachelor’s degree in computer science, Information Technology, or a related field; Advanced Degree in Applied Sciences (Data Science, Math, Statistics, Engineering, etc.) Five (5) years of leadership experience solving critical business challenges using Data and AI Engineering.
Minimum of ten (10) years of experience in data engineering, with a focus on scalable and distributed systems, is critical for designing and implementing robust document AI solutions that can handle real-time processing and analysis.
Ability to manage multiple projects including both short-term and long-range projects/activities and completing projects across organizational lines, within budget and schedule.
Candidate should have in-depth experience in designing and implementing enterprise-wide cloud data and analytics platforms such as Hadoop, Spark, and Kafka for handling large volumes of document data efficiently and extracting insights effectively.
Strong background in artificial intelligence and machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch, for evaluating advanced document processing algorithms and models.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing document AI solutions at scale, leveraging services like managed databases, container orchestration, and serverless computing.
Deep understanding of agile project delivery models and methodologies
Creative problem solver with the ability to quickly identify and resolve errors through collaborative solutions.
Data-driven decision maker; Experience working across business, technical, IT, Digital and Operations teams to influence decisions and drive outcomes.
Flexible Working
We are open to discussing flexible working arrangements. Our work pattern is 3 days in the office and 2 days from home.
Diversity & Inclusion
At Chubb we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. Job Schedule Full time
Regular or Temporary Regular
Job Category Engineering
Business Unit United Kingdom
Legal Employer Chubb European Group SE UK Branch
