Guidewire Insurance Platform
Multi-Tenant Agent Portal & Enterprise Data Platform Ownership | Digital & Data Modernization
Owned the product vision, roadmap, and backlog for a multi-tenant, cloud-integrated Agent Portal and enterprise data modernization initiative supporting Personal, Commercial, and Specialty Lines integrated with Guidewire PolicyCenter and ClaimCenter.
Led digital transformation from UI-driven workflows to a data-centric architecture, ensuring policy, claims, billing, rating, and commission data were standardized, governed, and exposed through scalable APIs and analytics pipelines.
Data Platform & Backlog Ownership
- Owned and prioritized the data engineering backlog, translating underwriting, actuarial, claims, and regulatory requirements into epics, features, and user stories with clear technical acceptance criteria.
- Defined OKRs tied to data quality, reconciliation accuracy, API reliability, reporting timeliness, and AI-readiness metrics.
- Partnered with data engineers to design and refine ETL/ELT pipelines across Guidewire → MuleSoft → Data Warehouse → Analytics platforms.
- Governed delivery cadence, sprint velocity, and backlog health to ensure measurable business value from each data release.
Enterprise Data Modernization & Cloud Enablement
- Led modernization of legacy reporting into cloud-enabled data architecture using structured data pipelines, API-first integration, and scalable analytics layers.
- Designed tenant-aware data models enabling carrier-specific branding, LOB configurations, rating logic, regulatory variations, and commission rules without duplicating core Guidewire logic.
- Defined entity resolution rules across policies, exposures, claims, reserves, payments, parties, and fraud indicators.
- Implemented semantic layer alignment to ensure consistency across underwriting, claims, finance, and analytics consumption layers.
Guidewire Data & Rating Expertise
- Partnered with underwriting and actuarial teams to configure and validate:
- Rate books, rate tables, rating algorithms
- Underwriting eligibility logic
- Coverage terms and exposure bases
- XML artifacts and RTE outputs
- Performed SQL-based validation across premiums, loss triangles, reserve movements, and financial transactions to ensure audit-grade pricing transparency.
- Established cross-system reconciliation between PolicyCenter exposures/premiums and ClaimCenter financial transactions to support pricing analytics and profitability modeling.
GenAI Enablement & AI Data Readiness
- Defined GenAI product requirements for intelligent submissions, risk summarization, document ingestion, claims insights, and quote explanations.
- Established structured + unstructured data ingestion pipelines (policy documents, adjuster notes, submissions, loss runs).
- Defined data lineage, data dictionaries, STTM mappings, and audit trails to ensure AI explainability and regulatory compliance.
- Partnered with architects and data scientists to align model inputs with governed, high-quality datasets.
- Improved AI model readiness and structured data completeness by 40%.
Integrations, APIs & Data Engineering
- Authored 150+ API contracts (REST/SOAP), request/response schemas, and validation rules across Agent Portal → MuleSoft → Guidewire.
- Defined transformation logic, error-handling, reconciliation workflows, and retry mechanisms.
- Designed ClaimCenter → Analytics → Data Warehouse mappings including reserves, recovery flows, fraud signals, and severity indicators.
- Ensured middleware orchestration supported real-time and batch analytics consumption.
Data Governance, Compliance & Audit Readiness
- Implemented governance controls aligned with FAIS, POPIA, SOX, PCI-DSS, GDPR, and TCF.
- Built full traceability matrices:
Business Objective → Configuration → API → Data Pipeline → UAT → Analytics / AI.
- Delivered audit-ready documentation for pricing logic, underwriting rules, integration behavior, and AI model oversight.
- Achieved near-zero regulatory objections through transparent pricing validation and structured reporting controls.
Testing, Quality & Operational Stability
- Owned UAT strategy, regression coverage, and end-to-end validation across quoting, binding, endorsements, FNOL, claims servicing, and analytics flows.
- Defined pipeline performance metrics (data completeness, latency, reconciliation accuracy).
- Reduced rate validation cycles by 30%, accelerating LOB launches.
- Improved premium-to-loss reconciliation accuracy through structured SQL-driven validation controls.
Agile Leadership & Cross-Functional Execution
- Led backlog refinement, sprint planning, story grooming, demos, and release readiness across data engineering, analytics, underwriting, actuarial, compliance, and middleware teams.
- Balanced short-term delivery with long-term platform scalability.
- Acted as primary product interface across business, data, AI/ML, and architecture teams.
- Drove outcome-based prioritization anchored in measurable data and platform KPIs.
Measurable Impact
- 40% improvement in data quality and AI model readiness
- 30% reduction in product/rate validation cycle time
- 150+ APIs validated across core insurance systems
- Near-zero regulatory objections
- Significant improvement in premium-loss reconciliation accuracy
- Accelerated digital LOB onboarding through tenant-aware data modeling