Guidewire DataHub Manager

Hartford, CT, US • Posted 3 days ago • Updated 3 days ago
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
On-site
$34 - $37/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Guidewire DataHub
  • ETL/ELT Development
  • Microsoft SQL Server

Summary

Location: Hartford, CT
Work Model: Onsite
Job Type: Contract

Job Description

We are seeking an experienced Guidewire DataHub Manager to lead enterprise data integration, data warehousing, and production support initiatives within the insurance domain. The ideal candidate will have strong expertise in Guidewire DataHub, InfoCenter, SSIS, and SQL Server, along with experience leading technical teams and delivering scalable data solutions.

Key Responsibilities

  • Lead the design, implementation, and support of Guidewire DataHub and InfoCenter platforms.

  • Manage end-to-end data integration, operational data stores (ODS), and data warehouse initiatives.

  • Develop and oversee SSIS-based ETL frameworks for reliable and scalable data movement.

  • Integrate data across Guidewire PolicyCenter, ClaimCenter, BillingCenter, and reporting platforms.

  • Establish data quality, reconciliation, validation, and governance processes.

  • Oversee production support, batch monitoring, incident management, root cause analysis, and SLA compliance.

  • Review ETL designs, SQL code, data models, and technical architecture.

  • Collaborate with business stakeholders, architects, and application teams to deliver data solutions.

  • Manage project planning, resource allocation, risks, and stakeholder communications.

  • Mentor technical teams and drive continuous improvement in data engineering and operational processes.

Primary Skills

  • Guidewire DataHub

  • Guidewire InfoCenter

  • SSIS (SQL Server Integration Services)

  • Microsoft SQL Server

  • ETL/ELT Development and Data Integration

  • Data Warehouse Architecture

  • Operational Data Store (ODS)

  • Insurance Systems Integration

Secondary Skills

  • Dimensional Modeling, Star Schema, Fact and Dimension Design

  • Data Governance and Data Quality

  • Production Support and Incident Management

  • Batch Monitoring and SLA Management

  • Azure-hosted Platforms

  • Azure VMware Solution (AVS)

  • Agile Project Management

  • Technical Leadership and Team Mentoring

  • Root Cause Analysis and Performance Optimization

Preferred Qualifications

  • Experience delivering enterprise data warehouse solutions in the insurance industry.

  • Strong understanding of insurance policy, claims, and billing systems.

  • Experience leading technical teams and coordinating with cross-functional stakeholders.

  • Excellent communication, analytical, and problem-solving skills.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. 
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10114932
  • Position Id: 139110-9119-1791572162
  • Posted 3 days ago
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