Data Solutions Lead-5

Realign Llc; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Realign Llc in Jersey City, NJ seeks a Data Solutions Lead to design and implement scalable, secure data architectures for P&C insurance domains. You will collaborate with underwriting, actuarial, claims, and IT teams to translate requirements into robust data solutions.

The role requires hands-on leadership across data platforms (Azure/AWS), modern tools, and AI-driven improvements across the data landscape. This on-site position offers impactful ownership and cross-geography collaboration.

Qualifications

• Experience with cloud data platforms (AWS Glue, Snowflake).
• Proficiency in ETL/ELT design, and data warehousing, data modeling.
• Hands-on experience with Python, Spark, Informatica, Datastage, AWS Glue, Snowflake.
• Led hands-on experience with modern data platforms.
• Well versed with Gen AI terminology and implemented cases with Gen AI in SDLC and Data platforms.
• Familiarity with insurance core systems.
• Design and implement scalable, secure, and high-performance data architecture tailored to the needs of the P&C insurance business.
• Collaborate with underwriting, actuarial, claims, and IT teams to translate business requirements into robust data solutions.
• Evaluate Tool & technologies, run proof of concept and propose technology options and solutions to the client.
• Lead the modernization of legacy systems and migration to cloud-based data platforms (e.g., Azure, AWS).
• Define data integration strategies across internal systems (e.g., Guidewire, Duck Creek) and third-party data providers (e.g., ISO, LexisNexis).
• Provide technical leadership and mentorship to data engineers and analysts.
• Be a key player in transforming the data landscape, drive adoption of AI within the technical team
• Identify potential use cases for new features with tools in the marketplace for data and AI.
• Consulting mindset
• Ability to drive decisions
• Able to work with cross functional teams across geographies.

Responsibilities

• Design and implement scalable, secure, and high-performance data architecture tailored to the needs of the P&C insurance business.
• Collaborate with underwriting, actuarial, claims, and IT teams to translate business requirements into robust data solutions.
• Evaluate Tool & technologies, run proof of concept and propose technology options and solutions to the client.
• Lead the modernization of legacy systems and migration to cloud-based data platforms (e.g., Azure, AWS).
• Define data integration strategies across internal systems (e.g., Guidewire, Duck Creek) and third-party data providers (e.g., ISO, LexisNexis).
• Provide technical leadership and mentorship to data engineers and analysts.
• Be a key player in transforming the data landscape, drive adoption of AI within the technical team
• Identify potential use cases for new features with tools in the marketplace for data and AI.
• Consulting mindset
• Ability to drive decisions
• Able to work with cross functional teams across geographies.

Skills

Cloud data platforms

ETL/ELT design

Data warehousing

Data modeling

Gen AI terminology

Insurance domain knowledge

Tools

Python

Spark

Informatica

Datastage

AWS Glue

Snowflake

Job description

Jersey City, New Jersey 07030 Posted October 9th, 2026

Job Title: Data Solutions Lead

Location: Jersey City, NJ

Full Time

Job Type: Full Time

Job Category: IT

Required Skills

• Experience with cloud data platforms ( AWS Glue, Snowflake).
• Proficiency in ETL/ELT design, and data warehousing, data modeling
• Hands-on experience with Python, Spark, Informatica, Datastage, AWS Glue, Snowflake
• Must have led hands on experience with modern data platforms.
• Well versed with Gen AI terminology and implemented cases with Gen AI in SDLC and Data platforms.
• Familiarity with insurance core systems
• Design and implement scalable, secure, and high-performance data architecture tailored to the needs of the P&C insurance business.
• Collaborate with underwriting, actuarial, claims, and IT teams to translate business requirements into robust data solutions.
• Evaluate Tool & technologies, run proof of concept and propose technology options and solutions to the client.
• Lead the modernization of legacy systems and migration to cloud-based data platforms (e.g., Azure, AWS).
• Define data integration strategies across internal systems (e.g., Guidewire, Duck Creek) and third-party data providers (e.g., ISO, LexisNexis).
• Provide technical leadership and mentorship to data engineers and analysts.
• Be a key player in transforming the data landscape, drive adoption of AI within the technical team
• Identify potential use cases for new features with tools in the marketplace for data and AI.
• Consulting mindset
• Ability to drive decisions
• Able to work with cross functional teams across geographies

Generic Managerial Skills, If any

• Ability to drive decisions
• Able to work with cross functional teams across geographies

Roles & Responsibilities

• Design and implement scalable, secure, and high-performance data architecture tailored to the needs of the P&C insurance business.
• Collaborate with underwriting, actuarial, claims, and IT teams to translate business requirements into robust data solutions.
• Evaluate Tool & technologies, run proof of concept and propose technology options and solutions to the client.
• Lead the modernization of legacy systems and migration to cloud-based data platforms (e.g., Azure, AWS).
• Define data integration strategies across internal systems (e.g., Guidewire, Duck Creek) and third-party data providers (e.g., ISO, LexisNexis).
• Provide technical leadership and mentorship to data engineers and analysts.
• Be a key player in transforming the data landscape, drive adoption of AI within the technical team
• Identify potential use cases for new features with tools in the marketplace for data and AI.
• Consulting mindset
• Ability to drive decisions
• Able to work with cross functional teams across geographies

Generic Managerial Skills, If any

• Consulting mindset
• Ability to drive decisions
• Able to work with cross functional teams across geographies