We are seeking an experienced Conversion Lead to drive end-to-end data migration and conversion initiatives for Guidewire implementations.
The ideal candidate will have strong expertise in:
Guidewire PolicyCenter, ClaimCenter, and BillingCenter
Data Migration
Product Model Toolkit (PMT)
Azure Data Factory (ADF)
Azure Databricks (ADB) for scalable data processing
You will lead conversion strategy design, execution, and governance—ensuring high-quality and seamless migration from legacy systems to Guidewire platforms.
Lead the overall data conversion and migration strategy for Guidewire implementations
Define conversion roadmap, scope, timelines, and deliverables
Engage with business and IT stakeholders to align on data requirements and success criteria
Manage offshore/onshore conversion teams and ensure delivery excellence
Design and oversee ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks (ADB)
Define data mapping, transformation rules, and validation frameworks
Ensure data quality, integrity, and reconciliation during migration cycles
Handle complex data scenarios, including:
Historical data
Policy versions
Claims data
Work closely with Guidewire configuration teams, especially Product Model Toolkit (PMT)
Ensure alignment of converted data with product model configurations
Support testing cycles (SIT/UAT) with clean and validated data sets
Drive defect resolution related to data conversion
Establish and enforce data governance, validation, and audit processes
Develop and maintain reconciliation reports and dashboards
Ensure compliance with regulatory and audit requirements
Collaborate with business SMEs, architects, developers, and QA teams
Provide regular status updates, risk assessments, and mitigation strategies
Act as the primary point of contact for all conversion-related activities
8+ years of experience in data migration/conversion roles
3+ years in a Conversion Lead or Architect role
Strong experience with Guidewire PolicyCenter, ClaimCenter, and BillingCenter implementations
Hands-on experience with Product Model Toolkit (PMT)
Expertise in Azure Data Factory (ADF) and Azure Databricks (ADB)
Strong knowledge of ETL/ELT processes, data modeling, and SQL
Experience with large-scale legacy system migrations
Experience in Property & Casualty (P&C) Insurance domain
Familiarity with Guidewire DataHub/InfoCenter
Experience with cloud data architectures (Azure)
Strong understanding of data governance and quality frameworks
Agile/Scrum experience
The pay range that the employer in good faith reasonably expects to pay for this position is $48.83/hour - $76.30/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
