Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.*Why PWC
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job description:
Key Responsibilities:
Lead data mapping from legacy systems to Guidewire PolicyCenter.
P Define transformation and cleansing rules for policy data.
Collaborate with ETL developers and data architects on conversion logic.
Collaborate with product managers and underwriters to define insurance product components using the Advanced Product Designer App.
Translate business product definitions into APD configurations including coverages conditions and exclusions.
Simulate and validate product behavior using APDs visual tools before deployment.
Ensure alignment between APD-generated artifacts and downstream Guidewire modules.
Validate mock conversions and support data reconciliation efforts.
Document conversion rules exception handling and cutover strategies.
Coordinate with business SMEs to ensure data accuracy and completeness.
Leverage tools like IBM DataStage for automated data profiling cleansing and transformation to streamline conversion efforts.
Utilise Guidewire DataHub for real-time data integration and conversion across Guidewire applications.
Support hybrid conversion strategies including:
Big Bang Conversion: Full policy migration at once for faster deployment.
On-Renewal Conversion: Gradual migration during policy renewals to reduce operational risk.
Required Skills: Deep understanding of policy data structures and insurance domain.
Experience with data migration tools and SQL.
Familiarity with Guidewire PolicyCenter data model.
Strong analytical and documentation skills.
Other requirements: Guidewire certification(s) Experience with data analysis and reporting tools. Familiarity with SQL and database management. Primary and Mandatiry skill : guidewire BA
Years of experience required:
4-10
Education qualification:
Btech/MBA/MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Azure DevopsOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 27 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
December 31 2025Required Experience:
Manager
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more