Guidewire Data Lead - Hybrid

Location: BGC

Work Setup: Hybrid, 3 Days WFH and 2 Days Onsite

Compensation Flexibility: Open to negotiation for highly qualified candidates.

KEY RESPONSIBILITIES

• Lead end-to-end data workstreams for Guidewire implementation, upgrade, cloud migration, and modernization initiatives.

• Define and execute data migration strategies, frameworks, standards, and best practices to ensure accurate, complete, and reliable data transfer.

• Establish data governance practices, data quality standards, reconciliation procedures, and validation frameworks.

• Lead and mentor data analysts, ETL developers, and migration specialists throughout the project lifecycle.

• Collaborate with Enterprise Architects, Guidewire Solution Architects, functional teams, and business stakeholders to guide data architecture and integration decisions.

• Assess legacy systems and lead source-to-target data mapping, data profiling, and migration planning activities.

• Design and oversee extraction, transformation, and loading (ETL) processes for migrating policy, claims, billing, customer, producer, and financial data.

• Define migration waves, cutover plans, rollback strategies, and reconciliation frameworks.

• Manage mock conversions, dress rehearsals, production cutovers, and post-migration validation activities.

• Provide expertise in Guidewire data models and data relationships, ensuring effective integration between Guidewire platforms and upstream or downstream applications.

• Support Guidewire DataHub, InfoCenter, Guidewire Cloud Data Platform, and associated reporting solutions.

• Ensure data integrity, scalability, and performance across environments.

• Work with business subject matter experts to understand insurance, regulatory, and reporting requirements.

• Coordinate with testing teams to support data validation, reconciliation, and User Acceptance Testing (UAT).

• Present migration readiness, data quality metrics, project progress, and delivery risks to senior leadership.

• Manage dependencies, risks, and issue resolution across multiple teams.

• Define data quality KPIs, monitoring frameworks, reconciliation procedures, and audit mechanisms.

• Ensure compliance with insurance industry regulations and organizational data policies.

• Identify and resolve data anomalies during migration and post-production support.

REQUIRED QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

• At least 10 years of overall IT experience, including 5+ years working on Guidewire data and integration initiatives.

• At least 5 years of experience with Guidewire implementations.

• Proven experience leading large-scale insurance data migration and conversion programs.

• Strong understanding of Guidewire applications, data models, and integration architectures.

• Experience developing and executing data migration strategies, source-to-target mapping, ETL processes, data reconciliation, and validation frameworks.

• Strong knowledge of Property & Casualty (P&C) insurance processes, including policy administration, claims management, billing and collections, underwriting, and regulatory reporting.

• Experience coordinating cross-functional teams, managing delivery risks, and communicating technical progress to business stakeholders and senior leadership.

PREFERRED QUALIFICATIONS

• Experience leading Guidewire Cloud migration or modernization projects.

• Exposure to cloud-based data platforms, enterprise data warehousing, and insurance reporting ecosystems.

• Experience implementing data governance frameworks and data quality monitoring at enterprise scale.

• Familiarity with insurance regulatory requirements, audit processes, and compliance standards.

REQUIRED SKILLS & TECHNOLOGIES

• Guidewire Applications: PolicyCenter, ClaimCenter, BillingCenter, Guidewire Cloud Platform.

• Guidewire Data & Reporting: DataHub, InfoCenter, Guidewire Cloud Data Platform, reporting ecosystems.

• Data Migration & Conversion: Migration strategy, legacy system assessment, source-to-target mapping, mock conversions, cutover planning, rollback strategies, and reconciliation.

• ETL & Data Integration: ETL development, extraction and transformation processes, upstream and downstream application integration.

• Data Quality & Governance: Data validation frameworks, data integrity, quality KPIs, monitoring, audit mechanisms, and regulatory compliance.

• Databases & Querying: SQL, Oracle, SQL Server, PostgreSQL.

• Cloud & Data Platforms: Databricks, Snowflake, Azure Data Factory, AWS Data Services.

• ETL Tools: Informatica, Talend.

• Insurance Domain: Property & Casualty insurance, policy administration, claims management, billing and collections, underwriting, and regulatory reporting.

• Leadership & Delivery: Team mentoring, stakeholder management, risk and dependency management, project governance, and executive reporting.