Senior Enterprise Data Management Analyst; Remote

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Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for eleven consecutive years.

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We are seeking an Enterprise Data Management Analyst - Metadata Mgmt/Data Catalog to help mature enterprise data governance capabilities across metadata management, data discovery, data catalog operations, business glossary, lineage, and governed self‑service data use.

This role turns governance standards into practical operating practices. You will work with Data Owners, Data Stewards, Data Custodians, technical teams, Risk, Information Security, and governance partners to improve the completeness, accuracy, usability, and trustworthiness of enterprise metadata. The work is hands‑on and cross‑functional: you will curate metadata, document lineage, improve glossary content, support catalog adoption, and help stakeholders find, understand, trust, and appropriately use governed data assets.

This is an individual contributor role suited for someone who combines strong documentation and facilitation skills with enough technical fluency to interpret data structures, schemas, data dictionaries, source‑to‑target mappings, reporting dependencies, and system documentation.

• Support enterprise metadata management across priority data domains, applications, systems, reports, data products, and Critical Data Elements (CDEs).
• Help establish and maintain an authoritative view of what data exists, where it resides, how it is defined, who owns it, and how it is used.
• Administer, support, and improve data catalog and metadata management content, including catalog records, metadata templates, ownership assignments, classifications, glossary links, lineage documentation, stewardship workflows, and catalog usability.
• Develop practical procedures, playbooks, templates, intake forms, validation checklists, attestation routines, documentation controls, and operating procedures that make governance repeatable.
• Partner with business and technology stakeholders to validate business metadata, technical metadata, ownership assignments, glossary terms, CDEs, and lineage completeness.
• Facilitate onboarding of data sources into governance tooling for scanning, metadata ingestion, catalog publication, and lineage capture.

• Develop and maintain business glossary content, including terms, definitions, acronyms, synonyms, data‑domain alignment, ownership, and relationships to governed data assets.
• Facilitate working sessions to resolve inconsistent terminology, conflicting definitions, unclear ownership, and documentation gaps.
• Document, validate, and maintain lineage for critical data flows, including source‑to‑target movement, transformations, downstream consumption, reporting dependencies, and business use.
• Support metadata quality controls by reviewing completeness, consistency, timeliness, ownership, glossary alignment, lineage coverage, and catalog usability.
• Coordinate review workflows, document discrepancies, elevate unresolved gaps, and help establish sustainable metadata refresh practices.

• Enable federated stewardship by helping Data Owners, Data Stewards, and Data Custodians understand and execute their metadata responsibilities.
• Prepare operational metrics and reporting for catalog coverage, metadata completeness, glossary coverage, lineage coverage, steward validation, issue aging, adoption, and usage…