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Metadata Manager Jobs in New York (NOW HIRING)

IDMC Developer - Informatica, IDMC

Stamford, CT · On-site

$56.75 - $74.75/hr

ClifyX is seeking an experienced Informatica IDMC Data Lineage Specialist to support enterprise data governance and metadata management initiatives. This role will focus on implementing, managing ...

IDMC Data Lineage Developer

Stamford, CT · On-site

$56.75 - $74.75/hr

ClifyX is seeking an experienced Informatica IDMC Data Lineage Specialist to support their enterprise data governance and metadata management initiatives. The role focuses on implementing and ...

Be Seen First

... metadata) and digital assets, including audio, images, and table of contents. The position is ... This role will work with Content Management Systems, global teams, stakeholders, and external ...

Catalog, Glossary & Metadata Management: Maintain and improve business glossaries, data dictionaries, metadata standards, and catalog entries are searchable, understandable and consistently defined.

Catalog, Glossary & Metadata Management: Maintain and improve business glossaries, data dictionaries, metadata standards, and catalog entries are searchable, understandable and consistently defined.

Snowflake Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. * Experience in Data ...

Snowflake Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. * Experience in Data ...

Showing results 21-40

Metadata Manager information

See New York salary details

$30.1K

$89.4K

$150.4K

How much do metadata manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for metadata manager in New York is $89,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $127,500.00 per year, depending on experience, location, and employer.

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.

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 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.

What are the most commonly searched types of Metadata jobs in New York?

The most popular types of Metadata jobs in New York are:

What are popular job titles related to Metadata Manager jobs in New York?

For Metadata Manager jobs in New York, the most frequently searched job titles are:

What job categories do people searching Metadata Manager jobs in New York look for?

The top searched job categories for Metadata Manager jobs in New York are:

What cities in New York are hiring for Metadata Manager jobs?

Cities in New York with the most Metadata Manager job openings:

Infographic showing various Metadata Manager job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $89,357 per year, or $43 per hour.

Sr Data Governance - Full Time

Saransh Inc

Jersey City, NJ • On-site

Full-time

Re-posted 26 days ago


Job description

Position: Sr Data Governance Consultant
Location: Jersey City, NJ (Onsite from Day 1)
Job Type: Full Time
 

Job Description:
  • Must have a minimum of 8+ years of experience in Design, Development & implementation experience in Data Governance
  • Must have worked in Agile development environment and familiar with Software Development Lifecycle, Agile/Scrum process.
  • Assess current lineage, metadata, and data quality practices
  • Perform sample attribute-level lineage analysis
  • Identify gaps in lineage coverage and automation
  • Profile data quality issues (accuracy, completeness)
  • Define DQ rules, KPIs, and monitoring approach
  • Recommend metadata/catalog strategy
  • Define standards for lineage, glossary, and DQ.
 
NOTE:
This is primarily a Data Governance Consultant / Data Governance Analyst role with strong focus on Data Lineage, Metadata Management, and Data Quality Governance.
 
Recommended Job Titles
  1. Senior Data Governance Consultant
  2. Data Governance Lead
  3. Data Governance Analyst
  4. Data Governance & Data Quality Consultant
  5. Metadata & Data Lineage Specialist
  6. Data Governance SME (Lineage & Data Quality)
Core Skills Required:
  • Data Governance
  • Data Lineage (Attribute-Level Lineage)
  • Metadata Management
  • Data Catalog Strategy
  • Data Quality Frameworks
  • Data Quality Rules & KPIs
  • Data Profiling
  • Business Glossary Management
  • Data Governance Standards & Policies
  • SQL
  • Tableau
  • JIRA
  • Agile / Scrum
  • SDLC
Key Responsibilities:
  • Assess current-state data lineage, metadata, and data quality processes.
  • Perform attribute-level lineage analysis across critical data elements.
  • Identify gaps in lineage coverage and recommend automation opportunities.
  • Profile data quality issues and perform root-cause analysis.
  • Define and implement data quality rules, metrics, and monitoring frameworks.
  • Develop metadata management and data catalog strategies.
  • Establish governance standards for lineage, business glossary, and data quality.
  • Collaborate with business and technical stakeholders in an Agile environment.
Good-to-Have Tools:
If having exp with these, they are strong indicators:
  • Collibra
  • Alation
  • Informatica Data Governance
  • Informatica EDC
  • Microsoft Purview
  • Atlan
  • Apache Atlas
  • Talend Data Quality
  • IBM Information Governance Catalog