VP, Principal Data Engineer

JOB DESCRIPTION

By joining Chubb as Principal Data Engineer for our North America Finance & Actuarial and Corporate Data platforms, you'll set the engineering direction for a portfolio of strategic applications that directly underpin financial, actuarial, claims, regulatory, underwriting and executive 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 across Finance, Actuarial, and Corporate Data platforms, establishing and enforcing 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 a variety of different data systems and products.


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


* Build, lead, and develop a team of approximately five direct-report senior data engineers and engineering leads across Finance, Actuarial, and Corporate Data squads; drive performance, engineering accountability, and a clear path for career growth.


* Define, govern, and enforce engineering standards and best practices across distributed and offshore engineering teams; hold ultimate accountability for the quality, consistency, and technical direction of engineering products delivered by those teams, regardless of reporting structure.
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