Head of Document AI Ingestion

London, United Kingdom

Chubb

Chubb insurance products and services in Germany

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Employer Description

Chubb is a global leader in insurance. With operations in 54 countries, 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. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop, and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
 

Job Description

Join us on our digital-first journey at Chubb, where innovation is at the heart of what we do. Our teams are innovating, iterating, and solving customer problems at a rapid pace, and leading the modernization of insurance delivery in a digital world. Here, technology is embedded in our business, and technology experts collaborate closely with insurance experts. We approach every challenge with an engineering mindset to deliver the world-class customer experience that sets Chubb apart from our competition. By joining us on our digital-first journey, you will be at the forefront of driving this transformation within a multidisciplinary squad.

The mission of Document Ingestion is to design and operationalize market-leading capabilities at scale across the value chain and distribution channels. We enable our customers to receive faster, more accurate quotes and pricing decisions with minimal human touch, while advancing Chubb’s underwriting expertise via automated machine learning models.

As the Head of Doc Ingestion for COG you will lead Chubb’s key strategic initiative to automate and modernize data ingestion processes across the insurance value chain for COG This role requires a results-oriented leader with deep expertise in data integration, automation, and insurance domain operations. As a Lead, you will drive the planning, execution, and delivery of end-to-end ingestion initiatives, ensuring alignment with Chubb’s business priorities and digital transformation goals.

This position requires exceptional technical and leadership skills to manage cross-functional teams, partner with senior executives, and implement innovative, scalable integration solutions that enhance operating efficiency and deliver measurable business outcomes.

More specifically, you will:

  • Lead global teams of Data Engineers, collaborating with product owners, business leaders, and technology stakeholders to deliver strategic integration initiatives.
  • Experience of working with large transformation programs, delivering to tight timescales, within budget while maintaining quality and leading teams across the globe.
  • Partner with product CIOs and senior transformation leaders to align document ingestion objectives with Chubb’s broader digital transformation strategy.
  • Cultivate a high-performance culture by managing hiring, conducting performance reviews, and mentoring team members to achieve operational excellence.
  • Act as a key interface between global stakeholders, ensuring alignment and clarity across complex matrixed environments.
  • Oversee the planning and execution of large-scale integration programs, managing budgets, timelines, and resources to deliver measurable business transformation benefits.
  • Implement cloud-based integration platforms (e.g., Azure Data Factory, Databricks, Kafka) to automate data ingestion pipelines and enable real-time, scalable solutions.
  • Oversee the seamless integration of platforms and pipelines using Azure cloud, Kafka, with microservices written in Java and Python, ensuring efficient data flow and connectivity. 
  • Drive the adoption of Agile methodologies, ensuring alignment with established release cycles and enterprise standards.
  • Collaborate with system integrators and technology suppliers to deliver innovative solutions that meet Chubb’s regulatory and compliance standards.
  • Provide strategic insights on emerging technologies, including APIs, microservices, and machine learning models, to optimize ingestion and integration processes.
  • Develop and execute integration strategies that enhance efficiency, scalability, and accuracy while supporting the seamless integration of global business units.
  • Establish data governance frameworks to ensure data accuracy, compliance, and regulatory alignment across all ingestion initiatives.
  • Track and analyze the performance of integration programs using defined KPIs, ensuring continuous improvement in delivery and efficiency.
  • Support the development of dashboards and reports to provide real-time visibility into program outcomes and progress.

 

 

Qualifications

  • 10+ years of leadership experience managing large-scale integration or data transformation programs in highly matrixed environments.
  • Proven expertise in cloud platforms (e.g., Azure Data Lake, Azure Data Factory, Kafka, Databricks) and experience in designing and implementing scalable data ingestion pipelines.
  • Proficiency in Java and/or Python programming, with the ability to navigate and optimize systems built on multiple languages. 
  • Experience addressing and managing technical debt, ensuring scalable, reliable, and efficient solutions across multi-language platforms.
  • Strong knowledge of insurance domain operations, including underwriting, claims, and policy administration systems.
  • Experience working with APIs, microservices architecture, and automation tools to deliver innovative solutions.
  • Familiarity with Agile methodologies and project management tools (e.g., JIRA).
  • Ability to manage diverse and globally distributed teams, driving clarity and alignment among stakeholders.
  • Bachelor’s degree in Business, Data Science, Engineering, Mathematics, or a related field.
  • Familiarity with data governance frameworks and regulatory compliance standards.
  • Strong communication and interpersonal skills, with the ability to engage and influence senior leaders across business and technology functions.
  • Preferred: Certification in cloud platforms (e.g., Azure Certified Cloud Solution Engineer) or integration tools (e.g., MuleSoft Certified Integration Architect).

 

 

Why Join Us?

Join a world-class team at Chubb, where you will lead innovative initiatives that redefine insurance processes and deliver measurable value across global markets. As the Engineering Lead of Integration, you will play a pivotal role in shaping Chubb’s digital transformation journey by driving automation, scalability, and enhanced efficiency.

“We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know in your application or in any future discussions with our recruiters”

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Tags: Agile APIs Architecture Azure CX Databricks Data governance Engineering Java Jira Kafka KPIs Machine Learning Mathematics Microservices ML models Pipelines Python

Perks/benefits: Career development Health care Insurance

Region: Europe
Country: United Kingdom

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