Data Solutions Lead

SAAB CAPITAL LLC
Jersey City, NJ, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$160,000.0 - $170,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Data Architecture Data Infrastructure Data Integration Extract Transform Load (ETL) Data Systems Data Warehousing IBM InfoSphere DataStage Python (Programming Language) Systems Development Life Cycle
+10 more
Cloud Services Lexis Cloud Platform System Informatica Powercenter Snowflake Apache Spark AWS Glue Data Management Guidewire Legacy Systems

Job description

  • 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., Job Description: Saab, Inc. is seeking a highly skilled Lead Program Performance Management Analyst to support our rapidly growing organization. This position is eligible for f…
  • 6 days ago, Job Description: Saab, Inc. is seeking a highly skilled Lead Program Performance Management Analyst to support our rapidly growing organization. This position is eligible for f…
  • 6 days ago +

Requirements

Must Have Technical/Functional 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, * Consulting mindset
  • Ability to drive decisions
  • Able to work with cross functional teams across geographies

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