Work you'll do As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of data engineering solutions for client engagements.
- Lead small engagements or key workstreams within large, complex data and analytics transformations for Financial Services - Insurance clients
- Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
- Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
- Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
- Support practice growth through proposal development, thought leadership, and coaching junior practitioners
The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications Required:
- 8+ years experience with relevant technology project experience to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
- 8+ years of techno-functional experience with Financial Services - Insurance Industry to include Commercial Insurance domain experience across claims, payments, policy support, reporting, and document processing
- 4+ years experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Service (AWS) and/or Google Cloud Platform (GCP)
- 3+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations
- Bachelor's degree
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- Experience in consulting and client-facing delivery roles
- Experience in creating critical collaterals for client workshops and customer interactive sessions
- Experience presenting technical content to both large and small audiences
