Data Steward

Responsibilities

• Data Stewardship & Decision Making
• Act as the trusted business steward for International data domains (initial focus: Policy / Underwriting)
• Own business definitions, terminology, and Critical Data Elements (CDEs)
• Make decisions on data meaning, usage, tolerances, and acceptability across the International business
• Ensure all stewardship decisions are documented and maintained within governance tools
• Data Quality Ownership
• Own prioritization of data quality issues from a business perspective
• Partner with Data Quality and delivery teams to set remediation priorities
• Validate that fixes and controls meet business and operational requirements before closure
• Business & Delivery Interface
• Serve as the primary business contact for data-related decisions within scope
• Represent International business priorities in data and platform delivery forums
• Provide clear guidance to downstream users on data meaning and limitations
• Operating Model & Maturity
• Support the evolution of the International Data Governance and Stewardship operating model
• Help transition from project-based stewardship to ongoing business ownership
• Contribute to scalable, repeatable stewardship practices across additional domains
• Key Relationships
• International Underwriting, Operations, Finance, and Regulatory Reporting teams
• Data Governance, Data Quality, and Data & Analytics leadership
• IT and data platform delivery teams

Requirements

• Required
• 3-5 years of experience in data stewardship, data ownership, or business-led data roles (insurance or financial services preferred)
• Strong understanding of policy and underwriting data and lifecycle
• Experience acting as a business decision-maker in data-driven initiatives
• Strong analytical skills and attention to detail
• Ability to work effectively with technical teams in a business-led capacity
• Strong communication, stakeholder management, and influencing skills
• Preferred
• Experience within domain-based or data product operating models
• Familiarity with enterprise data platforms and modern data architecture
• Experience working across International or multi-jurisdiction insurance environments
• Experience with data governance tools (e.g., Collibra)
• Our Culture
• Our Values are the guiding principles that inform our decisions,

Additional Information

Title: Data Steward Company: Everest Global Services, Inc. Job Category: Analytics Job Description: About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world. Role Purpose The International Data Steward / Data Governance Analyst is responsible for the end-to-end business stewardship of International data, ensuring clarity, trust, and accountability across the data lifecycle. This role serves as the primary business owner and decision-maker for data meaning, usage, and acceptability within scope. It prioritizes data quality issues based on business impact and validates remediation outcomes from a business and operational perspective. The initial focus will be on the International Policy and Underwriting domain , aligned with current business priorities. Over time, the stewardship framework established in this role will expand across additional International data domains. Core Accountabilities This role is accountable for business-led data stewardship, including: Owning business definitions, Critical Data Elements (CDEs), and approved data usage Acting as the primary business decision-maker for data meaning and acceptability Prioritizing data quality issues based on business impact and operational risk Validating remediation outcomes to ensure alignment with business expectations Ensuring downstream data usage reflects agreed definitions and intent Accountability spans from data creation in source systems through governance, quality oversight, and downstream reporting and analytics.

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