AVP, Lead Data Engineer

Chubb Ltd

Philadelphia, PA

JOB DETAILS
SALARY
$152,900–$221,100 Per Year
SKILLS
Actuarial Skills, Architectural Services, Artificial Intelligence (AI), Automation, Best Practices, Business Case, CA Workload Automation AE (AutoSys Edition), Claims Processing, Cloud Computing, Communication Skills, Computer Engineering, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cross-Functional, Data Management, Data Modeling, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), DevOps, Dimensional Modeling, Embedded Systems, Engineering, Enterprise Architecture, Finance, Financial Reporting, Incentive Programs, Informatica, Information Technology & Information Systems, Insurance, Leadership, Machine Tool, Mentoring, Microsoft Windows Azure, Operational Improvement, People Management, Programming Tools, Python Programming/Scripting Language, Quality Monitoring, Regulations, Regulatory Reports, Reliability Engineering, Risk Management, Root Cause Analysis, Scripting (Scripting Languages), Snowflake Schema, Technical Leadership, Technical Strategy, Technical Writing, Test Automation, Test Harness, Underwriting, Unix Shell Programming
LOCATION
Philadelphia, PA
POSTED
9 days ago

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 into the team''s delivery model.

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

  • Bachelor''s degree required in Computer Science, Computer Information Systems, Information Systems, Information Technology, Computer Engineering, or equivalent work experience.
  • 12+ years of progressive data engineering experience, including hands-on ETL/ELT development, data warehouse design, and enterprise data pipeline delivery.
  • 8+ years of experience with ETL development tools and concepts, with deep expertise in Informatica / IICS.
  • 5+ years of experience with cloud data platforms including Azure (Synapse Analytics, Azure Data Factory, Azure Databricks) and Snowflake.
  • Strong hands-on proficiency in Databricks (Delta Lake, Spark, notebooks, workflows) and Snowflake (data sharing, Snowpark, dynamic tables).
  • 3+ years of experience with job scheduling tools such as Autosys or comparable distributed schedulers.
  • 3+ years of scripting experience in Python, Shell, or comparable languages for pipeline automation and tooling.
  • Demonstrated ability to architect and deliver no-touch, fully automated data pipelines in an enterprise environment.
  • Proven track record of driving engineering transformation - adopting modern practices (CI/CD, infrastructure-as-code, automated testing, AI-assisted tooling) in a large, complex data organization.
  • Strong understanding of data warehousing concepts including dimensional modeling, data lineage, data quality frameworks, and enterprise DW architecture.
  • Experience leading or influencing cross-functional engineering teams; prior people management experience a plus.
  • Excellent communication skills - able to translate engineering complexity into clear, credible language for both technical teams and executive stakeholders.
  • Insurance industry experience preferred; P&C domain knowledge (financial reporting, actuarial data, claims, regulatory/bureau reporting) a strong plus.
  • Location: must be based in New Jersey or the Greater Philadelphia area.

The pay range for the role is $152,900 to $221,100. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

About the Company

C

Chubb Ltd

Chubb is the world’s largest publicly traded property and casualty insurance company and the largest commercial insurer in the U.S.

With operations in 54 countries and territories, we are a major personal lines writer, as well as a leading middle market, small commercial and large industrial commercial insurer, providing a wide range of traditional and specialty coverages.

As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. And we combine the precision of craftsmanship with deep experience to conceive, craft and deliver the very best insurance coverage and service to individuals and families and to businesses of all sizes.

Our products and services are distributed through brokers, independent agents, exclusive agents and various forms of direct marketing.

What we deliver:

  • Extensive product and service offerings
  • Broad distribution capabilities
  • Service excellence
  • Risk expertise
  • Underwriting discipline
  • Exceptional financial strength
  • Local operations globally
COMPANY SIZE
500 to 999 employees
INDUSTRY
Insurance
FOUNDED
1792
WEBSITE
https://www.chubb.com/