Data Solutions Lead: Cloud Data, AI & Modernization

Envision Technology Solutions; Jersey City (NJ); Vor Ort; USD 150.000 - 190.000; Vollzeit

Zusammenfassung

Envision Technology Solutions in Jersey City, NJ is seeking a senior data platform architect to lead the design and implementation of scalable data architectures for property and casualty insurance workloads. You will drive cloud modernization initiatives across AWS and Azure, collaborating with actuaries, underwriters, and IT teams to deliver robust data solutions.

The role requires hands-on leadership, experience with modern data platforms, and a strong emphasis on AI-enabled data capabilities

Qualifikationen

• Experience with cloud data platforms and data architecture design.
• Led hands-on data platform modernization initiatives.
• Gen AI in SDLC and data platforms familiarity.
• Collaborate with underwriting, actuarial, claims, and IT teams to translate business requirements into data solutions.
• Familiarity with Guidewire, Duck Creek, ISO, LexisNexis recommended.

Aufgaben

• Design and implement scalable, secure data architectures for P&C insurance.
• Lead modernization and migration to cloud data platforms (Azure, AWS).
• Provide technical leadership and mentorship to data engineers and analysts.
• Translate business requirements into robust data solutions with cross-functional teams.
• Identify use cases for AI enhancements and drive adoption.

Kenntnisse

Leadership

Cross-functional collaboration

Mentorship

Data-driven decision making

Tools

AWS Glue

Snowflake

ETL/ELT design

data warehousing

data modeling

Python

Spark

Informatica

Datastage

Azure

Guidewire

Duck Creek

ISO

LexisNexis

Gen AI in SDLC

Jobbeschreibung

Envision Technology Solutions in Jersey City, NJ is seeking a senior data platform architect to lead the design and implementation of scalable data architectures for property and casualty insurance workloads. You will drive cloud modernization initiatives across AWS and Azure, collaborating with actuaries, underwriters, and IT teams to deliver robust data solutions.

The role requires hands-on leadership, experience with modern data platforms, and a strong emphasis on AI-enabled data capabilities