AVP, Lead Data Engineer

JOB DESCRIPTION

By joining Chubb as Lead Data Engineer for our North America Finance & Actuarial data platform, you'll set the engineering direction for a portfolio of strategic applications - Atlas, BAR, CDW, Posting, and Regulatory Reporting - that directly underpin financial, actuarial, claims, and regulatory decision-making across the enterprise.

This is a technical leadership role: you'll define and drive engineering standards, architect and implement no-touch data pipelines and integrations, and transform the way our engineering squads deliver by embedding AI-assisted development, modern DevOps practices, and cloud-first design into everything we build.

You'll influence and guide a team of data engineers across multiple squads, provide hands-on technical leadership on the most complex initiatives, and serve as the senior engineering voice in cross-functional conversations with architects, platform teams, and business stakeholders.

Responsibilities Include:


* Define and drive the engineering strategy for the Finance & Actuarial data platform, establishing standards, patterns, and best practices across all squads.


* Architect and implement no-touch, automated data pipelines and integrations that minimize manual intervention, reduce operational risk, and improve reliability at scale.


* Lead the adoption of AI-assisted development practices - including AI-augmented code generation, pipeline automation, anomaly detection, and intelligent data quality monitoring - to accelerate delivery and reduce toil.


* Provide hands-on technical leadership on high-complexity initiatives, including cloud migration (Azure Synapse / Databricks / Snowflake), ETL modernization, and replatforming efforts.


* Evaluate and recommend modern tooling, frameworks, and architectural patterns; build the business case and lead adoption across engineering squads.


* Partner with the data reliability engineering and enhancement squad leads to ensure engineering standards are embedded in day-to-day delivery - from design through deployment and operations.


* Establish CI/CD pipelines, automated testing frameworks, and deployment standards that enable consistent, high-quality releases across Atlas, BAR, CDW, Posting, and Regulatory Reporting.


* Lead root cause analysis and resolution for the most complex data engineering issues, driving permanent fixes over tactical workarounds.


* Mentor and develop engineers across squads; build a culture of engineering excellence, continuous improvement, and accountability.


* Translate complex technical strategies into clear communications for executive stakeholders, including the Head of Data, North America, Head of Data Engineering, North America.

and senior business leaders.


* Maintain and evolve technical documentation, architecture decision records, and engineering runbooks as living assets.


* Stay current on emerging data engineering technologies and bring relevant innovations...