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Metadata Manager Jobs in Pennsylvania (NOW HIRING)

Information/Data Architect

Reading, PA · On-site

$61.25 - $78.75/hr

Metadata management * Data quality * Business intelligence/data warehousing * Data interoperability * Analytics * Data integration and aggregation The Information Architect should be able to assist ...

Information/Data Architect

Reading, PA · On-site

$61.25 - $78.75/hr

Metadata management * Data quality * Business intelligence/data warehousing * Data interoperability * Analytics * Data integration and aggregation The Information Architect should be able to assist ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Define semantic data models that enable self-service analytics and consistent reporting, in coordination with data governance, metadata management, and master data management (MDM) standards.

Data Lakehouse Engineer(s)

Woodland, PA · On-site

$93K - $112K/yr

Implement data catalogs, metadata management, lineage tracking, and enforce role-based access controls. Ensure data is compliant with privacy and security policies across ingestion, storage, and ...

This includes establishing architecture and standards, metadata strategy, data quality strategy, ETL, Master Data Management (MDM), as well as Enterprise Information Integration (EII) strategy and ...

$125 - $150/hr

Establish data governance, data quality, metadata management, and master data management standards. * Collaborate with Engineering to build modern cloud based data solutions using Azure, including ...

Draft, publish, and maintain standards covering data quality, metadata management, privacy, security, access controls, classification, and retention * Partner with Legal, Privacy, Information ...

Showing results 41-60

Metadata Manager information

See Pennsylvania salary details

$27.6K

$81.9K

$137.8K

How much do metadata manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for metadata manager in Pennsylvania is $81,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $116,800.00 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 are the most commonly searched types of Metadata jobs in Pennsylvania? The most popular types of Metadata jobs in Pennsylvania are:
What are popular job titles related to Metadata Manager jobs in Pennsylvania? For Metadata Manager jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Pennsylvania look for? The top searched job categories for Metadata Manager jobs in Pennsylvania are:
Infographic showing various Metadata Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $81,873 per year, or $39.4 per hour.

Data and AI Governance Lead - Computing Services

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 616 rated colleges and universities


Job description

Carnegie Mellon University (CMU) is seeking a dynamic, highly collaborative Data and AI Governance Lead to shape and operationalize the framework for how our institution manages, protects, and leverages its most critical data and AI assets. Unlike traditional management roles, this position does not oversee a direct team. Instead, you will act as the university's primary architect and facilitator of Data and AI Governance, working across academic and administrative units to drive progress through influence, partnership, and expert support. You must be comfortable toggling between high-level strategy (policy-making and risk frameworks) and hands-on delivery (implementing metadata tools and assisting data stewards)
Key Responsibilities:
  • Strategy & Framework Design: Lead the design and execution of CMU's Data and AI governance operating model. Define the policies, standards, and roadmaps that ensure data integrity, privacy, and the responsible use of AI across the university.
  • Influence & Community Building: Build and enable a robust community of practice among distributed Data Stewards and AI practitioners. You will not have "command and control"; authority; success will depend on your ability to build trust, provide value to partners, and align departmental goals with university-wide standards.
  • AI Governance & Risk: Design and operationalize AI governance controls, including model inventories, risk assessments, and ethical reviews. Partner with academic and administrative leads to ensure AI deployment is transparent, fair, and compliant with emerging regulations.
  • AI Data Readiness: Transform our Data assets by establishing a unified metadata layer. You will act as the translator between business Data Analysts, SMEs, and our Data/Analytics Engineering teams, ensuring that business terminology is mapped accurately (e.g., ensuring an AI agent understands that a "Full-Time Student" in a financial aid context (12+ credits) is distinct from "Full-Time Equivalent (FTE)" used for state reporting or faculty workload so engineers can build accurate semantic models for varying audiences.
  • Hands-on Operational Support: "Roll up your sleeves"; to help departments implement governance tooling. Assist in defining data lineage, improving data quality, and documenting metadata for complex institutional datasets.
  • Cross-Functional Collaboration: Serve as the primary bridge between Information Technology, Information Security Office, the Office of the Provost, and various administrative and academic units. Translate complex technical governance requirements into actionable guidance for non-technical stakeholders.
  • Metrics & Advocacy: Develop KPIs to track the adoption and health of governance practices. Regularly report progress to university leadership, advocating for the cultural shifts necessary to treat data as a strategic institutional asset.
  • Other duties as assigned.

Flexibility, excellence, and passion are vital qualities within Computing Services. Inclusion, collaboration, and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Required Qualifications:
  • Experience: 5+ years of experience in data governance, data management, and experience in AI ethics/policy.
  • The "Influence" Factor: Proven track record of leading large-scale initiatives in a federated or decentralized environment (e.g., Higher Ed, Healthcare, or complex R&D organizations) where progress is made through collaboration rather than direct authority.
  • Strategic Communication: Ability to present complex risk and governance concepts to senior university leadership while being equally effective at coaching a departmental data coordinator on day-to-day data entry standards.
  • Technical Depth: Familiarity with Data & AI lifecycle management, including experience with metadata management tools, data cataloging, and ML Ops/AI risk frameworks.
  • AI Readiness: An understanding of AI data readiness, including how traditional machine learning and Agentic AI interact with structured and unstructured data.
  • Technical Partnership: Experience partnering closely with Data Engineering and Analytics.

Preferred Qualifications:
  • Experience specifically within a Research I university or a highly complex non-profit environment.
  • Professional certification in Data Management (CDMP) or AI Governance (AIGP).
  • Knowledge of global data privacy regulations (GDPR, FERPA, HIPAA) as they relate to both administrative data and academic research.

Why This Role?
This is a unique opportunity to revitalize a data governance program, incorporating AI, at one of the world's leading institutions for Artificial Intelligence. You will have the autonomy to shape the role, the platform to influence data and AI governance policies, and the satisfaction of seeing your strategic work manifest in the hands-on success of CMU's diverse data community.
Requirements:
  • Successful background check

Are you interested in this exciting opportunity?! Apply today!
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Data Analysis
Position Type
Staff - Regular
Full Time/Part time
Full time
Pay Basis
More Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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