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Metadata Library Jobs in Alpharetta, GA (NOW HIRING)

CARE USA

INTERN, MARKETING KNOWLEDGE HUB

Atlanta, GA · On-site

$14.50 - $19.25/hr

... libraries; flag outdated or duplicate content Convert folder-view links to direct document/single ... metadata tags to the launch content set Coordinate roadshowlogistics(materials, scheduling ...

New

IQVIA

Mgr, Database Management Systems

Atlanta, GA · On-site

Organizes metadata for use by teams. Essential Functions Clinical Data Standards & Operational ... Global Library Management * Managing work assignments to ensure timely delivery of global library ...

IQVIA

Mgr, Database Management Systems

Atlanta, GA

Organizes metadata for use by teams. Essential Functions Clinical Data Standards & Operational ... Global Library Management * Managing work assignments to ensure timely delivery of global library ...

Socket.dev

Coordinator, Content Operations

Atlanta, GA · On-site

... and metadata standards * Support asset retrieval requests and content distribution workflows for internal stakeholders * Assist in maintaining organized, searchable and accessible media libraries ...

US Bank

Infrastructure Data Analytics Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Create reusable libraries and utilities that accelerate analytics delivery. SDLC, DevOps & Release ... Maintain data lineage and metadata documentation. * Implement controls for data quality, access ...

SOLTECH

Lead BI Engineer (Contract-to-Hire)

Alpharetta, GA · On-site

$100K - $131K/yr

Optimize semantic models for Power BI Copilot, including metadata, naming conventions ... Expand and maintain the team's reusable AI skill library and development standards as best ...

Forrest Johnson

Media Asset Manager

Atlanta, GA · On-site

$116K - $121K/yr

... and metadata procedures for all content across LTO tapes, external hard drives, cloud storage, and the off-site Iron Mountain library * Troubleshoot content retrieval, archival, and system ...

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Metadata Library information

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How much do metadata library jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for metadata library in Alpharetta, GA is $18.24, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $20.67 per hour, depending on experience, location, and employer.

What is a metadata librarian?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

What skills and qualifications are needed to thrive as a metadata librarian?

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.

What are common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

What are popular job titles related to Metadata Library jobs in Alpharetta, GA?

For Metadata Library jobs in Alpharetta, GA, the most frequently searched job titles are:

What job categories do people searching Metadata Library jobs in Alpharetta, GA look for?

The top searched job categories for Metadata Library jobs in Alpharetta, GA are:

What cities near Alpharetta, GA are hiring for Metadata Library jobs?

Cities near Alpharetta, GA with the most Metadata Library job openings:

Metadata Library jobs near you

Manager of AI-Enabled Knowledge Management

Atlanta, GA • On-site

North Highland
Business Management Consulting • 1 - 5K employees
Learn more about North Highlandexternal

Full-time

Posted 9 days ago

Job description

MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH
As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.
We're seeking a Manager of AI-Enabled Knowledge Management in our Atlanta, GA office to help evolve how the firm captures, curates, governs, and activates knowledge in an AI-powered era. This role will play a strategic and operational part in strengthening the firm's knowledge foundation-our competitive advantage-by improving content quality, discoverability, reuse, and integration into client delivery and business development workflows.
SUMMARY:
As part of the Knowledge & Strategy function within the Strategy & Growth team, the AI-Enabled Knowledge Management Manager will lead end-to-end knowledge lifecycle activities, from capture and curation to taxonomy, governance, and adoption. The role partners with IT / Data / AI owners to define KM requirements for RAG, semantic search, metadata, knowledge quality, source validation, and governance. The role will also incorporate applied and builder-level AI capabilities, helping design and implement AI-enabled knowledge workflows (e.g., copilots, metadata automation, semantic search) that improve speed, accuracy, and usability while maintaining strong governance and trust.
The role will partner closely with Practice leaders, account teams, Strategy & Growth, Marketing, Technology, and client-facing teams to ensure knowledge is high-quality, accessible, and embedded into how the firm sells and delivers work. The role will also cross-train with Research colleagues to support secondary research needs when required, though research is not a primary responsibility.
KEY RESPONSIBILITIES:
A) Knowledge asset lifecycle & IP reuse
  • Oversee knowledge capture processes for priority assets, including project deliverables, proposals, qualifications, methodologies, and reusable client assets.
  • Partner with subject matter experts and account teams to ensure content accuracy, relevance, and alignment with business priorities.
  • Accountable for AI knowledge architecture and AI quality controls, partnering with AI COE, IT, teams
  • Define and maintain content curation standards, including quality, context, sensitivity, and reuse guidelines.
  • Identify content gaps, duplication, and outdated materials; drive refresh, consolidation, or retirement actions.
  • Facilitate knowledge-sharing sessions and enablement activities for client-facing teams.

B) AI-enabled knowledge systems and workflow design
  • Apply AI tools to improve knowledge workflows, including summarization, classification, metadata enrichment, and content discovery.
  • Help design and scale AI-enabled KM capabilities (e.g., copilots, knowledge assistants, semantic search, metadata automation).
  • Develop and maintain reusable prompt libraries, templates, and workflow playbooks for KM use cases.
  • KM product owner / roadmap partner for Hub / search / AI-enabled knowledge experiences
  • Partner with Technology and business stakeholders to define requirements for AI-enabled knowledge systems.
  • Evaluate AI-generated outputs for accuracy, relevance, and alignment with firm standards.
  • Support experimentation and adoption of emerging AI KM capabilities.

C) Taxonomy, metadata, and knowledge architecture
  • Own and evolve taxonomy, metadata, tagging, and content structures to improve findability and reuse as enterprise search, AI, and semantic retrieval evolves.
  • Translate business needs and user behavior into practical information architecture improvements.
  • Establish and maintain metadata standards and controlled vocabularies.
  • Enable AI-assisted tagging and metadata workflows with appropriate governance and validation.
  • Use analytics and user feedback to continuously improve search relevance and knowledge experience.

D) Governance, quality, and trust
  • Maintain governance practices for knowledge quality, lifecycle management, and content ownership.
  • Define and enforce standards for content validation, freshness, and reuse.
  • Partner with Legal, Compliance, and Technology to ensure secure and responsible knowledge use.
  • Drive and promote responsible AI practices, including source validation, transparency, human-in-the-loop review, content provenance, confidentiality/permissions, AI answer-quality feedback loops, and AI-ready knowledge standards.
  • Monitor and report on KM health metrics (quality, usage, adoption, gaps).

E) Adoption and knowledge-sharing culture
  • Drive adoption of KM tools, practices, and AI-enabled workflows through promotion, training, and stakeholder engagement.
  • Develop communications, playbooks, and enablement materials to support knowledge reuse.
  • Build strong relationships across teams to encourage contribution and continuous improvement.
  • Translate KM and AI concepts into clear, business-relevant messaging.

F) Insights integration & business value
  • Support secondary research efforts (e.g., market scans, competitive intelligence, benchmarking) when needed.

Partner within Strategy & Growth, Marketing, Practices, and IT to improve reuse and speed to insight.
IDEALLY, WE'D LIKE:
  • Bachelor's degree in information science, Business Administration, Library Sciences, or related field; Master's degree preferred
  • 7+ years of experience in knowledge management, information management, or related field, preferably in consulting or professional services.
  • Strong understanding of KM principles, taxonomy, metadata, and knowledge lifecycle management, with a focus on AI applications and use cases.
  • Proficiency in enterprise knowledge platforms (e.g., SharePoint) and content systems.
  • Practical experience applying AI tools proactively to transform workflows, enhance KM and content management activities, and drive quality decision-making.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Excellent communication skills (including visual communication), with the ability to simplify complex concepts and demonstrate the business impact of KM solutions
  • Emotional intelligence, relationship-building, change management, and stakeholder management skills to foster a knowledge-sharing culture.
  • Posture of curiosity, open-mindedness, bias for action, and tolerance for ambiguity and "always-on" change in the business and KM landscape. A positive, can-do spirit.

Preferred Qualifications:
  • Experience with enterprise search, semantic search, or AI-enabled knowledge systems.
  • Experience developing taxonomies, metadata schemas, or information architecture.
  • Familiarity with data visualization and reporting tools (e.g., Power BI).
  • Experience supporting research or insights generation.
  • Understanding of data governance and responsible AI practices.

Tools & Technology Expectations:
  • Knowledge platforms (e.g., SharePoint, Teams)
  • Enterprise AI tools (e.g., Microsoft Copilot, Claude)
  • Data visualization and reporting tools (e.g., Excel, Power BI)
  • Content and metadata management tools
  • Workflow and automation tools (e.g., Power Automate)

Competencies:
  • Knowledge curation and content strategy
  • Information architecture (taxonomy, metadata, findability)
  • AI-enabled workflow design and application
  • Governance and quality management
  • Stakeholder collaboration and influence
  • Analytical thinking and insight generation
  • Communication and storytelling
  • Adaptability and continuous improvement mindset

Expectations:
  • Productivity: Delivers high-quality work within expected timeframes.
  • Accuracy of Work: Ensures precision and quality in content, data, and outputs.
  • Business Acumen: Aligns KM activities with business priorities and client value.
  • Relationship Management: Builds strong partnerships through responsiveness, collaboration, knowledge share, and a solution-oriented approach.
  • Communication: Provides clear, effective messaging across formats and audiences to influence the business.
  • Cultural Awareness: Demonstrates alignment with North Highland's values and collaborative culture.

Applicants must be authorized to work in the United States, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.
North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance with local privacy standards and maintain strict confidentiality.
Reference: 50468

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