Senior Enterprise Data Management Analyst

🕒 July 15

🏄 California – Remote

🏄 California – Remote

💵 $85k - $135k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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First American

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1889

🏠 Real Estate

💸 Finance

🏢 Enterprise

Real Estate • Finance • Enterprise

First American is a historical company that has been operating since 1889, evolving into a $9 billion organization with over 20,000 employees and more than 700 offices worldwide. The company provides a range of products and services that assist homebuyers, sellers, businesses, and investors in the real estate market. With a strong focus on employee engagement and culture, First American emphasizes innovation, technology, and community involvement, driving transformation within the real estate industry.

📋 Description

• 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, escalate 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 trends. • Support governance forums, leadership updates, audit support, risk reviews, and program performance tracking with clear, stakeholder-ready materials. • Collaborate across business, technology, analytics, architecture, risk, audit, security, and governance teams to drive alignment without direct authority.

🎯 Requirements

• Bachelor's degree in information systems, computer science, data management, information management, business analytics, library/information science, engineering, or a related field, or equivalent practical experience. • 5+ years of experience in metadata management, data cataloging, data governance, enterprise data management, data stewardship, business glossary management, lineage documentation, or closely related work in complex environments. • Strong understanding of business metadata, technical metadata, operational metadata, data ownership, stewardship, data domains, CDEs, glossary terms, lineage, and catalog publication. • Experience developing procedures, process documentation, operating routines, templates, standards, controls, validation checklists, or governance playbooks. • Ability to interpret data structures, schemas, data dictionaries, source-to-target mappings, reporting dependencies, and system documentation. • Technical fluency with data architecture, data integration, ETL/ELT concepts, APIs, reporting environments, and metadata ingestion concepts. • Strong facilitation, documentation, analytical, stakeholder management, and influencing skills, including the ability to translate technical data concepts into clear business language. • Experience producing metrics, KPIs, dashboards, scorecards, status reporting, or operational performance reporting.

🏖️ Benefits

• Medical • Dental • Vision • 401k • PTO/paid sick leave • Employee stock purchase plan