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Metadata Manager Jobs in Indiana (NOW HIRING)

Data Lineage and Metadata Management * Document end-to-end data lineage from source systems through reporting and analytics environments. * Maintain business glossaries and data dictionaries.

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

Quality Engineer

Indianapolis, IN · On-site

$68K - $88K/yr

Experience supporting DHF gap assessments, document linking, metadata management, and compliance reviews. * Familiarity with digital DHF structure, document hierarchy, and traceability matrix ...

Experience with data cataloging, metadata management, and lineage tracking platforms * Understanding of modern data formats and storage approaches including Parquet, Iceberg, and Delta Lake * Deep ...

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Metadata Manager information

See Indiana salary details

$26.2K

$77.7K

$130.8K

How much do metadata manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for metadata manager in Indiana is $77,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $110,900.00 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 Indiana?

The most popular types of Metadata jobs in Indiana are:

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

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

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

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

What cities in Indiana are hiring for Metadata Manager jobs?

Cities in Indiana with the most Metadata Manager job openings:

Infographic showing various Metadata Manager job openings in Indiana as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $77,720 per year, or $37.4 per hour.

Metadata Catalog Specialist - Indianapolis - Hybrid

aFit Staffing Inc.

Indianapolis, IN • On-site

Full-time

Re-posted 19 days ago


Job description

aFit Staffing is seeking a Metadata Catalog Specialist to execute the hands-on work of building out a client's data catalog: scanning source systems, tagging and classifying datasets, curating catalog entries, and producing dataset-level documentation. This role is the primary point of execution for turning an enterprise metadata model and cataloging standards into a populated, usable catalog, and works directly with business or agency stewards during onboarding. 

KEY RESPONSIBILITIES 

Metadata Scanning, Tagging & Catalog Curation 

  • Execute metadata scanning and classification of datasets as systems are onboarded by wave. 
  • Tag and curate catalog entries in accordance with the enterprise metadata model and cataloging standards. 
  • Produce dataset-level documentation for cataloged and inventoried datasets.
  • Administer the data catalog platform, including user access, workflow configuration, and connector/scanner setup. 

Taxonomy, Glossary & Discoverability 

  • Contribute to and maintain business glossary terms, taxonomies, and classification hierarchies. 
  • Improve dataset discoverability through consistent tagging, descriptions, and search optimization within the catalog.
  • Perform periodic quality checks on metadata completeness and accuracy across the catalog. 

Onboarding & Standardization 

  • Assist with catalog standardization and implementation during onboarding waves. 
  • Support business units or agencies in applying consistent metadata, naming, and classification conventions. 
  • Contribute to source and dataset inventories as part of catalog build-out. 

Stewardship Enablement & Training 

  • Build and maintain reusable templates, checklists, and job aids for data stewards. 
  • Apply privacy/sensitivity classification to catalog entries and associated access-control tagging. 
  • Train and support end users and data stewards on catalog tool usage and metadata standards. 
  • Capture lessons learned and recurring patterns from onboarding to improve future catalog builds. 

Documentation & Reporting Support

  • Maintain catalog onboarding and lineage rollout summaries for status reporting.
  • Support project managers and architects with backlog items related to scanning, classification, and catalog readiness. 
  • Store documentation and catalog artifacts in client-owned repositories as directed. 

REQUIRED CERTIFICATIONS : A relevant data catalog or governance platform certification (e.g., Microsoft Applied Skills / Purview data governance credential, Informatica certification), or equivalent demonstrated hands-on catalog experience in lieu of certification. 

PREFERRED QUALIFICATIONS 

  • 3+ years of experience in metadata management, data cataloging, or data stewardship execution roles. 
  • Hands-on experience scanning, classifying, and tagging datasets within a data catalog or governance platform. 
  • Experience developing or maintaining taxonomies, ontologies, or business glossaries. 
  • Direct experience with Microsoft Purview catalog scanning and classification. 
  • Experience working directly with business or agency stakeholders during data onboarding, including end-user training. 
  • Familiarity with privacy/sensitivity classification frameworks. 
  • Familiarity with Informatica or Databricks metadata capabilities.