- 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.
- Build, mentor, and lead a high-performing organization of data engineers specializing in document extraction, enrichment, visualization and business application integration.
- Provide strategic guidance, set clear goals, and continuously assess and develop team capabilities.
- Bachelor's degree in computer science, Information Technology, or a related field; advanced degree preferred.
- Advanced Degree in Applied Sciences (Data Science, Math, Statistics, Engineering, preferred.
- 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.
- Ten (10) years of significant management and supervisory experience. 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.
- Demonstrate the ability to work well with others and be respected as a leader.
- Deep understanding of agile project delivery models and methodologies
- Excellent communication skills both verbal and written that clearly and concisely communicates concepts to varying levels of the organization.
- Energetic, self-starter who can independently multi-task across many different complex strategic programs to drive multiple deliverables concurrently.
- Creative problem solver with the ability to quickly identify and resolve errors through collaborative solutions.
- Data-driven decision maker; able to complete thorough research and investigation, yet quickly make decisions and present findings.
- Experience working across business, technical, IT, Digital and Operations teams to influence decisions and drive outcomes.
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Head of Document Ingestion - London, United Kingdom - CHUBB
Description
Head of Document AI Ingestion
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
Document ingestion is a top priority for Chubb and we are looking for an innovative, results-oriented Engineering Leader with requisite experience and ambition to drive the Document Ingestion program. 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.
Knowledge/Skills/Abilities/Success Factors
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.
Education and Experience
Key Behaviors and Competencies
Flexible Working
We are open to discussing flexible working arrangements. This can be discussed with the Recruitment Business Partner managing this position. Our work pattern is 3 days in the office and 2 days from home.
Integrity. Client focus. Respect. Excellence. Teamwork
Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive.
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.
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