Finance Data Transformation Functional Lead

ROLE SUMMARY

We are starting discovery for a finance data modernization at a leading global PC reinsurer The hub will consolidate finance actuarial claims policy and reinsurance data from multiple source systems into a governed financial data layer that feeds management and regulatory reporting FPA and in time conversational analytics We are looking for a functional lead who speaks both finance and data

WHAT YOU WILL DO

 Lead discovery workshops with Finance Actuarial Reinsurance FPA and IT stakeholders to document the ASIS reporting and data landscape
 Inventory source systems GLERP EPM policy admin claims actuarial reserving ceded reinsurance investments and assess data availability grain quality and ownership
 Build the KPI and report inventory business definitions calculation logic dimensions named business owners and signoff
 Define critical data elements and map KPIs to source and target fields across a medallion architecture Bronze  Silver  Gold  Semantic
 Shape the TOBE architecture with data architects financial data layer semantic layer reporting and selfservice layer
 Write the BRD functional specifications assumptions and risks log and the phased roadmap
 Act as functional product owner for the Gold and Semantic layers as the engagement moves into build including UAT and selfservice testing with business users
 Contribute to estimates SOW inputs and followon proposals

WHAT YOU BRING REQUIRED
 3-7 years in finance transformation finance data or FPAcontrollership within insurance or reinsurance in consulting or industry
 Professional qualification CA CPA ACCA CFA or MBA Finance or equivalent depth
 Working fluency in PC reinsurance finance GWPNWP earned premium UPR paidcaseIBNR and incurred losses ALAEULAE CAT vs nonCAT commissions and brokerage DAC lossexpensecombined ratios ceded reinsurance technical result
 Knowledge of at least one insurance reporting basis US GAAP US STATNAIC IFRS 17 or Solvency II and the bridges between them
 Handson experience with data modeling concepts star schemas conformed dimensions medallionLakehouse layers semantic models sourcetotarget mapping
 SQL proficiency sufficient to profile data and validate KPI logic independently
 Proven ability to run stakeholder workshops and produce clientready BRDs KPI catalogs and architecture narratives