Insurance Data Operations Lead – Hybrid

International Association of Insurance Professionals (IAIP); Glasgow; Hybrid; GBP 90,000 - 110,000; Full time

Job summary

Fitch Group in Glasgow is seeking a Data Operations Associate Director (Insurance) to oversee the collection of fundamental data and ensure the highest data quality for stakeholders. You will lead cross-functional teams, define methodologies, and centralise capture processes to support Ratings and Solutions, with oversight of data templates in Collibra.

The role emphasizes mentoring, training for outsource teams, monthly reporting, and responsible adoption of AI/ML techniques to drive measurable

Qualifications

• Experience managing large-scale data collection in financial services.
• Proven ability to drive data quality across multiple teams and jurisdictions.
• Strong leadership and mentoring capabilities.
• Familiarity with industry accounting standards (IFRS/GAAP) preferred.

Responsibilities

• Oversee collection of fundamental data across Fitch Group for Insurance.
• Define collection methodologies and centralise capture processes.
• Lead cross-functional teams and mentor staff to ensure data quality and timely delivery.
• Provide training to outsource teams and manage stakeholder expectations.
• Lead monthly management reporting and drive AI/ML-enabled improvements.

Skills

Data quality

Leadership

Insurance data

Stakeholder management

Mentoring

AI/ML awareness

Education

CIMA/ACCA/ACA/CFA

Tools

Collibra

Data templates

AI/ML tools

Job description

Fitch Group in Glasgow is seeking a Data Operations Associate Director (Insurance) to oversee the collection of fundamental data and ensure the highest data quality for stakeholders. You will lead cross-functional teams, define methodologies, and centralise capture processes to support Ratings and Solutions, with oversight of data templates in Collibra.

The role emphasizes mentoring, training for outsource teams, monthly reporting, and responsible adoption of AI/ML techniques to drive measurable