3 дня назад
Master and Reference Data Management Lead (Insurance)
156 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Master and Reference Data Management Lead (Insurance): Building governed master and reference data capabilities for core insurance entities, hierarchies, and classifications with an accent on platform modernization, data governance, and trusted enterprise data products. Focus on defining target architecture, implementing stewardship and control frameworks, improving data quality, and exploring AI-driven entity resolution.
Location: Hybrid role based in Warren, New Jersey, United States
Salary: $156,000–$180,000 annually
Company
is a global risk management business providing insurance and reinsurance capabilities to support businesses, economic activity, and long-term value creation.
What you will do
- Define and drive the master and reference data management strategy, target state, roadmap, operating model, and standards for the Insurance business.
- Lead business and data requirements for platform modernization and partner with Technology and Architecture on solution assessment, target architecture, implementation, migration, and adoption.
- Establish data ownership, stewardship, change controls, approval workflows, and accountability across governance, technology, platform, and business teams.
- Build trusted records, hierarchies, governed taxonomies, and integrations across operational systems, the enterprise data platform, and enterprise data products.
- Oversee data operations, issues, exceptions, risks, dependencies, service performance, and transparent reporting.
- Increase automation and governed self-service while using data quality, adoption, exception, and change metrics to drive continuous improvement.
Requirements
- 8–10 years of experience in data management, data governance, or related disciplines, including substantial master and/or reference data management experience.
- Experience designing or implementing master or reference data capabilities, operating models, and governance frameworks in complex organizations.
- Knowledge of modern master and reference data technologies, data quality, metadata, lineage, reconciliation, and integration patterns.
- Experience with cloud-based enterprise data platforms and modern data architectures.
- Strong stakeholder management skills, with the ability to work with business leaders, data owners, stewards, architecture, engineering, and technology teams.
- Insurance or broader financial services experience in regulated data environments is highly desirable.
Culture & Benefits
- Inclusive workplace guided by values including collaboration, leadership, efficiency, humility, and belonging.
- Health insurance coverage, employee wellness program, life and disability insurance, and 401(k) matching.
- Retirement savings plan, paid holidays, and paid time off.
- Commitment to reasonable accommodations throughout the application and employment process.
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