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What is the role of a Metadata and Catalog Specialist at Jobgether?

The Metadata and Catalog Specialist position at Jobgether is a Full-time or part-time position opportunity in the Admin/Clerical/Secretarial field.

Where is this Metadata and Catalog Specialist job located?

Other / Non-US, New York, 10455, United States

What type of employment is offered for this Metadata and Catalog Specialist role?

Full-time or part-time position

What is the expected salary for this Metadata and Catalog Specialist job?

Compensation will be discussed during the hiring process.

Metadata and Catalog Specialist job near me in Other / Non-US, New York at Jobgether

Metadata and Catalog Specialist

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Metadata and Catalog Specialist based in United States.

This is an opportunity to play a key role in modernizing enterprise data capabilities for a large-scale federal program supporting more than 204 courts across the United States. You will join a Data Modernization and Governance team delivering integrated data governance, engineering, analytics, reporting, and AI/ML capabilities. The role focuses on making enterprise data more discoverable, understandable, trusted, and traceable. You will own metadata management, business glossary, data catalog, and data lineage capabilities across complex data environments. Working closely with technical and business stakeholders, you will help turn governance policies into practical processes and scalable data management practices. Your work will directly support data quality, compliance, self-service access, and better operational decision-making.

Accountabilities:

Metadata Management: Implement, maintain, and continuously improve metadata management, business glossary, data catalog, and data lineage capabilities across enterprise and domain-level data assets.
Governance Platforms: Configure, administer, and maintain data governance, catalog, metadata, and lineage platforms, including repositories and related tooling.
Metadata Standards: Establish and maintain metadata standards, structures, naming conventions, definitions, and operational management practices.
Business Glossary: Develop and maintain enterprise and domain-level business glossaries, ensuring business terms and definitions remain accurate and consistent.
Metadata Capture: Capture and maintain business, technical, operational, governance, classification, ownership, sensitivity, retention, and other relevant metadata.
Data Relationships and Lineage: Establish relationships between data assets, business terms, data elements, systems, applications, reports, and data products, while implementing end-to-end lineage across critical data assets and flows.
Metadata Integration: Integrate metadata from source systems, databases, data warehouses, data lakes, APIs, ETL/ELT pipelines, BI platforms, and other data environments.
Automated Discovery: Configure metadata ingestion, scanning, classification, tagging, discovery, harvesting, and synchronization capabilities, including onboarding new data sources and systems.
Governance Workflows: Implement ownership, stewardship, certification, approval, and other governance workflows within data management platforms.
Platform Integrations: Configure integrations between catalog and metadata platforms and other governance, data quality, security, privacy, and enterprise architecture systems.
Data Quality and Monitoring: Monitor metadata quality and identify gaps, inconsistencies, and stale information that could affect data discovery or governance.
Stakeholder Collaboration: Partner with Data Governance Analysts, Data Quality Analysts, Data Architects, Data Stewards, security teams, engineering teams, and business stakeholders to maintain trusted enterprise metadata.
Data Discovery and Reporting: Support authorized users with data discovery and self-service access while developing dashboards and reports that measure catalog adoption, metadata completeness, stewardship, lineage coverage, and governance maturity.
Documentation and Enablement: Develop procedures, documentation, and operating standards and provide training and support to Data Stewards and business users.
Continuous Improvement: Evaluate and improve metadata management, data discovery, governance, and catalog capabilities to support ongoing modernization efforts.

Requirements

Education and Experience: MA/MS degree with 5+ years of general experience in information systems and 7+ years of specialized experience, or equivalent relevant expertise.
Enterprise Data Governance: Demonstrated experience supporting enterprise data governance programs and translating governance policies into practical operational processes within delivery environments.
Regulated Experience governing high-sensitivity or regulated data with clear compliance requirements and expectations.
Privacy and Access Management: Experience with access management and operationalizing privacy requirements in enterprise data environments.
Cross-Functional Collaboration: Proven ability to work with security, governance, engineering, business, and technical teams to implement compliant data-sharing practices.
Data Management Skills: Strong knowledge of data lakes, data warehousing, enterprise data, metadata management, data catalogs, and data lineage concepts.
Process and Business Analysis: Strong process mapping, documentation, business analysis, problem-solving, and organizational skills.
Stakeholder Management: Excellent facilitation and stakeholder management abilities, with the confidence to work across both business and technical teams.
Governance Translation: Ability to translate policy and governance requirements into clear, actionable procedures and operational practices.
Communication: Strong written and verbal communication skills, including the ability to create training, documentation, and change management materials.
Preferred Experience: Experience in Federal Government or other regulated environments, enterprise data governance/catalog platforms, and established data governance frameworks or operating models is highly valued.
Certification: A data management certification is preferred.

Benefits

Salary: $128,039–$173,229 annually. Actual compensation may vary based on experience, geographic location, and contractual requirements and may fall outside this range.
Work Arrangement: Fully remote, with the flexibility to work from any location in the United States.
Schedule: Full-time, 40 hours per week, with no travel required.
Healthcare: Multiple medical plan options, including options with Health Savings Accounts, as well as dental and vision coverage.
Retirement: 401(k) plan with the ability to make pre- and post-tax contributions and receive an employer match.
Paid Time Off: Vacation, sick and personal time, holidays, and additional paid leave programs. New employees typically receive 15 days of paid leave per calendar year plus 10 paid holidays, prorated based on the hire date.
Family Leave: Paid parental leave and up to 160 hours of paid family leave in a rolling 12-month period for eligible employees, along with military, bereavement, and jury duty leave.
Insurance and Protection: Short- and long-term disability, life insurance, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance are provided or available.
Work-Life Balance: Flexible work weeks where possible and a broad range of programs designed to support employee wellbeing and work-life balance.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Metadata and Catalog Specialist in New York at Jobgether

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