P&C Reinsurance Finance Data Transformation Lead
Reference Number: 413833
Posted: 10/08/2026
Job Type: Contract
- Industry: Technology and IT
Our client, Property & Casualty (P&C) Reinsurance Finance is seeking a P&C Reinsurance Finance Data Transformation Lead to join their team. As a P&C Reinsurance Finance Data Transformation Lead, you will be part of the Finance Data Modernization effort supporting cross-functional stakeholders across Finance, Actuarial, Reinsurance, FPA, and IT. The ideal candidate will have strong finance-to-data translation skills, proven experience leading stakeholder discovery, and the ability to drive governed data layer design that supports management and regulatory reporting.
Job Title: P&C Reinsurance Finance Data Transformation Lead
Location: New York, NY
Pay Range: $50 per hour on W2
What's the Job?
- Lead discovery workshops with Finance Actuarial Reinsurance, FPA, and IT stakeholders to document the AS-IS reporting and data landscape.
- Inventory and assess source systems (GL, EPM, policy admin, claims, actuarial reserving, ceded reinsurance, investments) for data availability, grain quality, and ownership.
- Define KPI and report inventory business definitions, including calculation logic, dimensions, named business owners, and signoff processes.
- Map critical data elements across a medallion architecture (Bronze, Silver, Gold, Semantic) and support the TO-BE architecture for the financial data layer, semantic layer, reporting, and self-service.
- Act as functional product owner for the Gold and Semantic layers through build, UAT, and self-service testing with business users; contribute to estimates, SOW inputs, and follow-on proposals.
What's Needed?
- Finance transformation experience with strong alignment to Finance, Data, and/or FPA, including controllership within insurance or reinsurance (consulting or industry).
- Professional qualification such as CA, CPA, ACCA, CFA, MBA Finance, or equivalent depth; plus working fluency in P&C reinsurance finance concepts (e.g., GWPNWP, earned premium, UPR, paid case, IBNR, incurred losses, ALAE/ULAE, commissions and brokerage, DAC, loss expense, combined ratios, ceded reinsurance technical result).
- Knowledge of at least one insurance reporting basis (US GAAP, US STAT, NAIC, IFRS 17, or Solvency II) and the bridges between them.
- Hands-on data modeling concepts (e.g., star schemas, conformed dimensions) and experience supporting medallion/lakehouse patterns; strong SQL proficiency to profile data and validate KPI logic independently.
- Proven ability to run stakeholder workshops and produce client-ready BRDs, KPI catalogs, and architecture narratives.
What's in it for me?
- Opportunity to shape a finance data modernization that consolidates actuarial, claims, policy, and reinsurance data into a governed financial data layer.
- Direct impact on management and regulatory reporting through well-defined KPIs, calculation logic, and semantic models.
- Ownership of functional product outcomes for Gold and Semantic layers, including UAT and self-service enablement.
- Collaboration with Finance, Actuarial, Reinsurance, FPA, and IT stakeholders to align business definitions and data governance.
- A structured engagement that moves from discovery into build, testing, and phased roadmap execution.
Upon completion of waiting period consultants are eligible for:
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), Plus Match
- Weekly Pay
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
CONSULTANT TESTIMONIAL
An Experis consultant
"Communication, instructions, expectations and follow-through were exceptional, throughout the hiring, interviewing and onboarding process. Thank you, Experis!"

