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Metadata Manager Jobs in Buffalo, NY (NOW HIRING)

Define and enforce data governance, metadata management, and data quality standards in accordance with Enterprise Architecture guidance and regulatory requirements. * Enterprise Architecture ...

... metadata management, lineage, and compliance with security and regulatory standards. • Optimize data pipelines, queries, and storage solutions to improve performance, scalability, and cost ...

Data governance and metadata management * Data quality and lineage * Master Data Management * Enterprise data security Demonstrated expertise is required across multiple enterprise data integration ...

Contracts Manager

Boston, NY · On-site

$84K - $112K/yr

Manage contract records, metadata, and reporting within Ironclad to ensure accurate, searchable, and auditable documentation across the full contract lifecycle. * Develop and maintain dashboards and ...

Data Architect

Buffalo, NY

$61.75 - $79.50/hr

Lead architecture decisions related to data governance, quality, metadata management, and master data management * Partner with business and technology leaders to identify opportunities to improve ...

Measure compliance with the business and Enterprise Data Management policy and standards. * Work with the business to identify critical data elements and capture related metadata. * Monitor quality ...

Measure compliance with the business and Enterprise Data Management policy and standards. * Work with the business to identify critical data elements and capture related metadata. * Monitor quality ...

Metadata Manager information

See Buffalo, NY salary details

$26.6K

$79.1K

$133.2K

How much do metadata manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for metadata manager in Buffalo, NY is $79,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $112,800.00 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 Buffalo, NY?

The most popular types of Metadata jobs in Buffalo, NY are:

What are popular job titles related to Metadata Manager jobs in Buffalo, NY?

For Metadata Manager jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Metadata Manager jobs in Buffalo, NY look for?

The top searched job categories for Metadata Manager jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Metadata Manager jobs?

Cities near Buffalo, NY with the most Metadata Manager job openings:

Project Manager w/ Cloud Data Engineer projects

Judge Group, Inc.

Buffalo, NY • On-site

$70 - $80/hr

Other

Re-posted 19 days ago


Job description

Location: Buffalo, NY Salary: $70.00 USD Hourly - $80.00 USD Hourly Description:
Title : Project Manager W/ Cloud Data Engineer Projects
Location: Buffalo, NY Remote
Duration of project : 12+ months Open contract
Job Description :
Client is seeking an experienced Senior Project Manager to lead large-scale Data Engineering and Data Modernization initiatives supporting the Company enterprise technology transformation strategy. This role will be responsible for driving complex programs focused on legacy modernization, cloud-enabled data platforms, hybrid data architecture, AI readiness, and enterprise analytics capabilities.
The ideal candidate will have a proven track record managing enterprise data engineering programs within highly regulated environments, partnering closely with data architects, engineers, infrastructure teams, business stakeholders, and executive leadership to deliver transformational outcomes.
Company transformation roadmap includes modernization of legacy data platforms, creation of a scalable hybrid data fabric, expansion of AI and analytics capabilities, and consolidation of enterprise technology platforms.
Responsibilities
Lead end-to-end delivery of complex Data Engineering, Data Management, and Data Modernization programs.
Manage cross-functional teams consisting of Data Engineers, Data Architects, Platform Engineers, Cloud Engineers, Business Analysts, and Product Owners.
Drive migration of legacy data pipelines and workflows into modern, scalable, cloud-ready architectures.
Coordinate initiatives related to enterprise customer data consolidation, data quality improvement, governance, and metadata management.
Partner with technology and business leaders to prioritize and execute strategic modernization objectives.
Oversee project planning, budgeting, resource management, risk mitigation, dependency management, and executive reporting.
Facilitate Agile ceremonies and ensure alignment across multiple workstreams and delivery teams.
Establish program governance frameworks, KPI tracking, and status reporting for executive stakeholders.
Manage delivery across hybrid environments spanning mainframe, on-premises, and cloud platforms.
Support enterprise AI and analytics initiatives by ensuring foundational data platforms and data products are delivered effectively.
Coordinate with Infrastructure, Information Security, Risk, Compliance, and Architecture teams to ensure regulatory and security requirements are met.
Drive platform rationalization and technology consolidation efforts to improve operational efficiency and reduce technical debt.
Required Qualifications
8+ years of Project Management experience leading large-scale technology programs.
5+ years managing Data Engineering, Data Warehouse, Data Lake, Analytics, or Data Modernization initiatives.
Experience delivering enterprise-level data transformation programs within Banking, Financial Services, Insurance, or other highly regulated industries.
Strong understanding of Data Engineering concepts including:
  • ETL/ELT pipelines
  • Data Warehousing
  • Data Lakes and Lakehouse architectures
  • Master Data Management
  • Data Governance
  • Metadata Management
  • Data Quality Frameworks
  • Real-time and Batch Processing

Experience managing projects involving cloud platforms such as Azure
Proven ability to manage multiple concurrent workstreams, vendors, and stakeholder groups.
Strong executive communication and presentation skills.
Experience utilizing Agile, Scrum, Kanban, and hybrid project delivery methodologies.
Proficiency with Jira, Confluence, Microsoft Project, Azure DevOps, or similar project management tools.
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Contact:
This job and many more are available through The Judge Group. Please apply with us today!