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Metadata Manager Jobs in Camden, NJ (NOW HIRING)

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Metadata Manager information

See Camden, NJ salary details

$27.7K

$82.4K

$138.7K

How much do metadata manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for metadata manager in Camden, NJ is $82,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $117,500.00 per year, depending on experience, location, and employer.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

How does a metadata manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

What are the key skills and qualifications needed to thrive as a metadata manager, and why are they important?

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What is a metadata manager?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.

What cities near Camden, NJ are hiring for Metadata Manager jobs?

Cities near Camden, NJ with the most Metadata Manager job openings:

Metadata Manager jobs near you

an Enterprise Data Architecture/Design

Radiant Info Systems Ltd

Mount Laurel, NJ

$63.25 - $81.25/hr

Contractor

Re-posted 24 days ago

Job description

Job Description

Reporting to the Chief Data/Information Architect (Managing Architect), this challenging position involves thought leadership, management skills and technical expertise. 

Lead and collaborate in strategic initiatives like Enterprise Data Modeling, Master Data Management (MDM), Reference Data Management (RDM), Metadata Management, Big Data, Data Quality and Governance, Data Warehousing, BI & Analytics. 

Develop a flexible and scalable architecture for an integrated information environment that will enable cost effective solutions to meet business requirements. 

Establish guiding principles, standards and best practices for business driven data architecture and related technologies from an enterprise perspective. 

Provide Reference Architecture Framework for Data Management, BI and Analytics domains/functions. 

Provide a roadmap with timelines for existing environments to migrate to the future state architected environment. 

Provide architectural guidance to Regulatory Data Programs like Dodd-Frank CCAR, Basel, RISE, and other Risk and, new and in-flight LOB specific projects 

This will require pro-active coordination with other teams within the enterprise. A key success factor will be the ability to build and sustain consensus across the teams involved and ensure a high degree of compliance. 

Provide data strategy and governance leadership for data architecture and develop technology solutions that align to the objectives and standards of the enterprise Data Management Strategy. 

Articulate, oversee and provide direction to project data architects who are responsible for producing project data deliverables. 

Perform high level tracking of project progress, with respect to data architecture deliverables, to ensure timely delivery and efficient staffing and use of data architecture resources. 

Provide thought leadership through contribution to the creation and continuous refinement of capabilities and best practices within the data management organization. 

Develop and build strong relationships within and across lines of business and use communication skills to influence and accomplish strategic data architecture objectives. 

Research/analyze business requirements to evaluate and recommend optimal solutions within technology architecture Provide guidance on Data Integration, Data Warehousing, DataMart's, database analysis, design, and build effort 

Provide guidance on Data Integration, Data Warehousing, DataMart's, database analysis, design, and build effort 

Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth 

Provide guidance on Big Data/Hadoop architecture, BI reporting & Analytics 

Provide Guidance on Data Model Management, MDM, RDM, Metadata Management, Data Life Cycle Management, Data Security, and DQ. 

Contribute and/or conduct ongoing assessments of Banking Regulatory data architecture strategy, influencing Business and IT decisions as necessary to ensure consistency in approach over time. 

Support the development, documentation, communication and execution of a comprehensive regulatory data architecture strategy, policies and solutions. 

Contribute to and/or develop the process by which decisions will be made regarding technology standards 

Qualifications

10+ years of experience in an Enterprise Data Architecture/Design role, preferably in the Financial Services sector 

Experience in Retail & Commercial Banking and Regulatory reporting like Basel, Dodd-Frank etc. 

Experience in people management (i.e. coaching, team leadership, performance reviews) 

Expertise in Enterprise Data Modeling (Conceptual & Logical & Physical Data Models) 

Experience in Data Warehouse/Data Marts Modeling (Relational/Dimensional Data Models) 

Expertise in Data Integration, ODS, Data Warehousing and BI reporting & Analytics Architecture & Implementation. 

Expertise in Master and Reference Data Management Architecture, Modeling and Implementation 

Experience in Metadata Management Architecture and Implementation. 

Experience in Data Quality & Data Governance 

Experience in Big Data Architecture 

Experience or knowledge of service-oriented architecture and design concepts, e.g., canonical modeling 

Strong relational database experience - DB2, Oracle, SQL Server preferred) 

Experience with Data Modeling Tools - Power Designer, Erwin preferred) 

Experience with ETL tools - Data Stage, Informatica preferred 

Experience with the special purpose data appliances - Netezza, Exadata preferred 

Experience with BI Reporting and Analytics - Cognos, SAS, Business Objects, Tableau preferred. 

Preferred: Ability to develop or revise the database architecture as new data requirements arise Big Data technology (e.g. Hadoop), MDM (e.g. IBM InfoSphere MDM or Informatica MDM), Metadata Management (e.g. Rochade or Informatica Metadata Manager), Data Quality (IBM DQ or Informatica DQ), Data Life Cycle Management (e.g. IBM Optim or Informatica ILM), NOSQL Databases (e.g. Cassandra, Mongo DB) 

Additional Information

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