Head of Document AI Ingestion
- 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.
- 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).
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