Master and Reference Data Management Lead

Title:

Master and Reference Data Management Lead

Company:

Everest Global Services, Inc.

Job Category:

Analytics

Job Description:

Everest is a global risk management business with more than 50 years of experience helping businesses grow and navigate uncertainty. Through our insurance and reinsurance capabilities, we support economic activity and create long-term value for our stakeholders. Our colleagues combine underwriting expertise with disciplined decision-making and a commitment to the communities we serve.

Everest is seeking a Master and Reference Data Management Lead to join our Data & Analytics function in Warren, New Jersey, and shape the development of master and reference data capabilities across our global Insurance business.

You will help build trusted, governed sources for the core entities, hierarchies and classifications that support underwriting, operations, finance, analytics and regulatory reporting. This is a hands-on leadership opportunity with influence across business and technology teams.

A central focus will be modernizing our master and reference data management platform capabilities. You will lead business and data requirements, assess existing processes, and partner with Technology and Architecture on solution evaluation, selection, implementation and adoption.

You will establish clear business ownership, stewardship and controls, and ensure trusted master and reference data supports Everest’s enterprise data platform and data product ecosystem. Success will combine a practical modernization roadmap with greater adoption, better data quality and less manual maintenance.

• Define and drive the Master Data Management and Reference Data Management strategy, target state, roadmap, operating model and standards for the Insurance business including the evolution or replacement of existing capabilities and the potential role of artificial intelligence-driven entity resolution.
• Lead business and data requirements for platform modernization, partnering with Technology and Architecture to assess solutions, shape the target architecture and support implementation, migration and adoption.
• Establish clear ownership boundaries, stewardship, change controls and approval workflows across Data Governance, Technology, platform teams and business teams, reducing inappropriate reliance on manual operational intervention.
• Establish trusted records, hierarchies and governed taxonomies for priority entities and reference sets, and ensure they are consistently integrated across operational systems, the enterprise data platform and enterprise data products.
• Define and embed control standards and accountability for master and reference data, including validation, data quality, lineage, reconciliation, audit, regulatory and risk requirements.
• Oversee day-to-day master and reference data operations, ensuring service performance, data issues, exceptions, change requests, risks and dependencies are actively managed and transparently reported.
• Increase automation and governed self-service, addressing recurring issues at source and reducing manual maintenance and dependency on individual knowledge.
• Define meaningful measures for data quality, adoption, exceptions and change activity, and use them to drive continuous improvement and good practice across the organization.

• You will typically bring 8–10 years of experience in data management, data governance or related disciplines, including substantial practical experience in master and/or reference data management.
• Experience designing or implementing master or reference data management capabilities, operating models and governance frameworks in a complex organization.
• Experience helping design,…