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Metadata Library Jobs in Crown Point, IN (NOW HIRING)

Senior AI Data Engineer

Chicago, IL ยท On-site

$120K - $170K/yr

... metadata enrichment * Building automated data validation processes to ensure accuracy and ... libraries such as SpaCy, HuggingFace Datasets, NLTK. * Solid dataOps knowledge and experience ...

Senior AI Data Engineer

Chicago, IL ยท On-site

$120K - $170K/yr

... metadata enrichment * Building automated data validation processes to ensure accuracy and ... libraries such as SpaCy, HuggingFace Datasets, NLTK. * Solid dataOps knowledge and experience ...

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Metadata Library information

See Crown Point, IN salary details

$8

$17

$26

How much do metadata library jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for metadata library in Crown Point, IN is $17.73, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $20.05 per hour, depending on experience, location, and employer.

What are metadata librarians and what do they do?

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 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 some 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 are the key skills and qualifications needed to thrive as a Metadata Librarian, and why are they important?

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 popular job titles related to Metadata Library jobs in Crown Point, IN? For Metadata Library jobs in Crown Point, IN, the most frequently searched job titles are:
What job categories do people searching Metadata Library jobs in Crown Point, IN look for? The top searched job categories for Metadata Library jobs in Crown Point, IN are:
What cities near Crown Point, IN are hiring for Metadata Library jobs? Cities near Crown Point, IN with the most Metadata Library job openings:
Infographic showing various Metadata Library job openings in Crown Point, IN as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $36,871 per year, or $17.7 per hour.

Capgemini Invent- Contextual Systems Engineer Managing Consultant

Capgemini Invent

Chicago, IL โ€ข On-site

$127K - $249K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
About the Job You're Considering
At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen-grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a builder-advisor ("forward deployed") mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.
Your Role
As a Managing Consultant, Contextual Systems, you will lead the end-to-end design and delivery of enterprise context platforms that enable AI systems to understand and operate on business knowledge at scale. You will own the architecture vision for a client's semantic and knowledge layer, manage delivery teams, and ensure solutions meet both technical standards and business requirements.
You will serve as a trusted advisor to VP-level client leaders, including data architects, CDOs, and engineering executives, owning the technical relationship and guiding platform decisions. Operating with significant independence, you are accountable for engagement quality, team performance, and client satisfaction.
In addition to client delivery, you will contribute to account growth and practice development, helping shape DDT's contextual systems methodology, reusable accelerators, and architectural standards.
Core responsibilities include:
  • Leading end-to-end design and delivery of enterprise context platforms for major clients
  • Architecting knowledge graph solutions, semantic layers, and context store infrastructure at scale
  • Owning technical relationships with client data, AI, and engineering leadership
  • Establishing platform governance standards, versioning protocols, and reusable architectural patterns
  • Managing delivery teams to ensure quality, timeliness, and alignment with client objectives
  • Contributing to DDT's contextual systems methodology and accelerator library
  • Driving account expansion by identifying adjacent platform and architecture opportunities

Your Skills + Experience
You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI-augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI-driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.
Required:
  • 7-9 years of experience in data or knowledge architecture, with enterprise-scale delivery experience
  • Deep expertise in semantic layers, knowledge graphs, and metadata management
  • Proven experience leading technical delivery teams in consulting or client-facing environments
  • Strong understanding of AI/ML integration patterns and governed data infrastructure
  • Demonstrated ability to architect platforms designed to scale and endure beyond the engagement

Beneficial experience:
  • Experience across cloud data platforms such as BigQuery or Snowflake
  • Familiarity with governance and catalog tooling (e.g., Collibra, Atlan)
  • Interest in applied AI, contextual systems, and agent-enabled architectures

The base compensation range for this role in the posted location is: $127,500 - $249,350
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.