Master and Reference Data Management Lead

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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 Everests 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 810 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 select implement or modernize enterprise master and reference data technology capabilities translating business and governance needs into platform requirements.
• A sound understanding of modern master and reference data technologies data quality metadata lineage reconciliation and integration patterns.
• The ability to turn business problems into clear data requirements practical governance controls and implementable solutions.
• Strong stakeholder management skills and the confidence to work with business leaders data owners and stewards architecture engineering and technology teams.
• A clear understanding of business ownership of data governance accountability and Technologys responsibility for engineering and platform delivery.
• Experience with cloud-based enterprise data platforms and modern data architectures alongside the judgment to balance strategic direction with pragmatic delivery.
• Insurance or broader financial services experience is highly desirable particularly in regulated data environments.
  
  
  

The base salary range for this position is $156000 - $180000 annually. The offered rate of compensation will be based on individual education experience qualifications and work location. All offers include access to a variety of benefits to employees including health insurance coverage an employee wellness program life and disability insurance 401k match retirement savings plan paid holidays and paid time off (PTO).

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What if I dont meet every requirement At Everest we are dedicated to building an inclusive and authentic workplace. So if you are excited about this role but your past experience doesnt align perfectly with every element in the job description we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture

At Everest our purpose is to provide the world with protection. We help clients and businesses thrive fuel global economies and create sustainable value for our colleagues shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Clickhereto learn more about our culture.

• Our Valuesare the guiding principles that inform our decisions actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
• Our Colleague Behaviorsdefine how we operate and interact with each other no matter our location level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues and the global communities we serve.

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Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion or creed sex (including pregnancy) sexual orientation gender identity or expression national origin or ancestry citizenship genetics physical or mental disability age marital status civil union status family or parental status veteran status or any other characteristic protected by law. As part of this commitment Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process to perform essential job functions and/or to receive other benefits and privileges of employment please contact Everest Benefits at

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