AVP, Lead Data Engineer
About The Position
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.
Requirements
- Technical leadership role
- Define and drive engineering standards
- Architect and implement no-touch data pipelines and integrations
- Transform the way engineering squads deliver by embedding AI-assisted development, modern DevOps practices, and cloud-first design
- Influence and guide a team of data engineers across multiple squads
- Provide hands-on technical leadership on the most complex initiatives
- Serve as the senior engineering voice in cross-functional conversations with architects, platform teams, and business stakeholders
- Cloud migration (Azure Synapse / Databricks / Snowflake)
- ETL modernization
- Replatforming efforts
- CI/CD pipelines
- Automated testing frameworks
- Deployment standards
Nice To Haves
- AI-assisted development practices — including AI-augmented code generation, pipeline automation, anomaly detection, and intelligent data quality monitoring
Responsibilities
- 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 into the team's delivery model.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
