The
Testing and Delivery Lead supports a BI data modernization program by driving delivery coordination for the Reference Data Management workstream and leading quality assurance activities for cyclical data model testing. This role blends program delivery oversight with hands-on test automation leadership, requiring someone who can manage cross-team dependencies, support client delivery priorities, and maintain testing rigor across releases. The ideal candidate brings insurance industry experience, strong data engineering and QA capabilities, and experience working across modern cloud and data platforms.
Work you'll do As a Data Engineer III (Test and Delivery Lead) on the AI & Engineering team, you will be responsible for...
- Lead planning, resourcing, and dependency management for the Reference Data Management workstream across upstream and downstream teams.
- Oversee testing and validation of cyclical data model updates and deployments to support data accuracy, integrity, and release readiness.
- Build, maintain, and extend automated testing assets using SQL, PySpark, and Python across evolving source systems and data model changes.
- Lead offshore QA team activities, including priority setting, daily coordination, defect triage, and progress tracking against release plans.
- Support client delivery through status reporting, risk escalation, milestone tracking, and coordination of end-to-end testing across cross-functional teams.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team AI & Engineering leverages engineering capabilities to build, deploy, and operate integrated, sector-focused solutions across software, data, artificial intelligence, networks, and hybrid cloud infrastructure. Our teams help clients modernize technology and data platforms, improve mission-critical operations, and enable business advantage through scalable engineering solutions. We tailor our delivery approach to each client's priorities, operating environment, and transformation goals.
Qualifications Required:
- Bachelor's degree or equivalent experience
- 5+ years of experience building and maintaining automated testing frameworks using SQL, PySpark, and Python
- Hands-on experience with Amazon Web Services (AWS) and Databricks
- Experience leading offshore quality assurance teams
- Experience coordinating end-to-end testing across cross-functional teams
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience supporting business intelligence or data modernization programs
- Experience with reference data management
- Experience with insurance data domains such as policy, claims, or underwriting
- Experience integrating testing into continuous integration and continuous delivery (CI/CD) workflows
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