VP, Principal Data Engineer

Chubb•Philadelphia, PA

6d•$183,700 - $240,000

About The Position

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.

Requirements

Technical leadership experience
Experience defining and driving engineering strategy
Experience architecting and implementing automated data pipelines and integrations
Experience with AI-assisted development practices (AI-augmented code generation, pipeline automation, anomaly detection, intelligent data quality monitoring)
Hands-on technical leadership on complex initiatives
Experience with cloud migration (Azure Synapse / Databricks / Snowflake)
Experience with ETL modernization
Experience with replatforming efforts
Experience evaluating and recommending modern tooling, frameworks, and architectural patterns
Experience partnering with data reliability engineering and enhancement teams
Experience establishing CI/CD pipelines
Experience with automated testing frameworks
Experience with deployment standards
Experience leading root cause analysis and resolution for complex data engineering issues
Experience building, leading, and developing a team of engineers
Experience defining, governing, and enforcing engineering standards and best practices across distributed and offshore engineering teams
Experience translating complex technical strategies into clear communications for executive stakeholders
Experience maintaining and evolving technical documentation, architecture decision records, and engineering runbooks
Knowledge of emerging data engineering technologies

Responsibilities

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.
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 into the team's delivery model.