Senior P&C Insurance Data Migration Lead | FP&A

HTC Global Services

Indiana (PA)

On-site

USD 95,000 - 130,000

Full time

14 days+

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Job summary

HTC Global Services seeks an experienced P&C Insurance Business Analyst / Functional SME to lead a data migration project for a US-based Managing General Agent (MGA). You will validate migrated data, reconcile financial numbers, and work directly with the client's business and finance teams.

You will review migrated data across divisions, explain findings to finance and underwriting teams, and ensure old vs new data align for reporting and accounting.

Qualifications

  • 8+ years of experience as a Business Analyst / SME in P&C Insurance (Property & Casualty).
  • Clear understanding of insurance finance, including premiums, loss reserves, commissions, and financial reconciliation/FP&A.
  • Familiarity with how US MGAs or Program Managers operate.
  • Hands-on experience checking migrated data and source-to-target data mapping.
  • Experience using basic SQL to run queries.
  • Comfortable running meetings with US business and finance leaders.
  • Graduate or above.

Responsibilities

  • Review migrated insurance data, including premiums, claims, commissions, and general ledger mappings, across different divisions to ensure accuracy.
  • Meet with the client's finance, accounting, and underwriting teams to explain data findings, resolve discrepancies, and obtain approval.
  • Compare old system data with new target system data to ensure financial numbers match for reporting and accounting.
  • Create test scenarios for finance and policy workflows.
  • Guide the client through testing and secure final sign-offs.

Job description

HTC Global Services seeks an experienced P&C Insurance Business Analyst / Functional SME to lead a data migration project for a US-based Managing General Agent (MGA). You will validate migrated data, reconcile financial numbers, and work directly with the client's business and finance teams.

You will review migrated data across divisions, explain findings to finance and underwriting teams, and ensure old vs new data align for reporting and accounting.

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