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Semantic Jobs in Ohio (NOW HIRING)

$79.66 - $108.11/hr

Semantic Product Information Architect (f/m/d) You're an important part of our future. Hopefully, we're also a part of your future! At B. Braun, we protect and improve the health of people worldwide.

Required : • Strong hands on experience with Core ML & Stats (optimization, supervised unsupervised learning) • NLP (semantic search, embeddings, text modeling) • MLOps (MLflow, Kubeflow ...

$97K - $128K/yr

Build Genie rooms, semantic layers using Metric Views, decision-support applications, data products, AI applications, and agent memory architectures that help clients operationalize insight and ...

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Experience creating semantic models, datasets, data marts, and reporting frameworks. * Strong understanding of BI architecture, reporting governance, and analytics best practices. * Experience ...

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Semantic information

What is a semantic job?

A Semantic job typically involves working with meaning and context in language, data, or technology. It may include roles in natural language processing (NLP), knowledge representation, search engine optimization (SEO), or semantic web technologies. Professionals in this field develop algorithms, ontologies, and models to improve understanding and classification of information. These jobs are common in AI, data science, and digital marketing industries.

What are the key challenges faced by semantic engineers when implementing knowledge graphs in large organizations?

Semantic Engineers often encounter challenges related to integrating disparate data sources, ensuring data quality, and aligning ontologies across departments. In large organizations, there can be legacy systems and inconsistent data formats, making it difficult to create a unified semantic model. Additionally, Semantic Engineers must collaborate closely with data architects, subject matter experts, and software developers to ensure the knowledge graph accurately reflects the organization's information needs and remains scalable as requirements evolve.

What are the key skills and qualifications needed to thrive as a semantic analyst, and why are they important?

To thrive as a Semantic Analyst, you need expertise in linguistics, natural language processing (NLP), data analysis, and a relevant degree such as linguistics, computer science, or information science. Familiarity with tools like Python, NLP libraries (e.g., NLTK, spaCy), and semantic annotation systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex language data and collaborate with technical teams. These competencies are vital to accurately extract, structure, and apply meaning from language data, driving insights and solutions in various industries.

What is the difference between Semantic vs Data Analyst?

AspectSemanticData Analyst
Required CredentialsBackground in linguistics, computer science, or related fields; knowledge of semantic web technologiesDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in tech or AI companies, working on language understandingBusiness or research settings, analyzing data to inform decisions
Industry UsageUsed in AI, NLP, and semantic web projectsUsed across finance, marketing, healthcare, and other sectors
Common Search/ComparisonSemantic vs Data Analyst

Semantic professionals focus on understanding and structuring meaning in language and data, often working with AI and NLP technologies. Data Analysts interpret data sets to generate insights for business decisions. While both roles involve data, Semantic roles emphasize language and knowledge representation, whereas Data Analysts focus on statistical analysis and reporting.

What are popular job titles related to Semantic jobs in Ohio?

For Semantic jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Semantic job openings in Ohio as of August 2026, with employment types broken down into 82% Full Time, 11% Part Time, and 7% Contract. Highlights an 69% Physical, 6% Hybrid, and 25% Remote job distribution.

Semantic Product Information Architect (f/m/d)

B. Braun Melsungen AG

On-site

$79.66 - $108.11/hr

Other

Retirement, PTO

Posted 8 days ago


Job description

Semantic Product Information Architect (f/m/d) Job Description

You’re an important part of our future. Hopefully, we're also a part of your future! At B. Braun, we protect and improve the health of people worldwide. You support this vision, bringing expertise and sharing innovation, efficiency and sustainability as values. That’s why we would like to keep developing our company with you. Keeping your future in mind, we’re making a joint contribution to health care worldwide, with trust, transparency and appreciation. That's Sharing Expertise.

Semantic Product Information Architect (f/m/d) Company: B. Braun SE Job Location: Melsungen, Hessen, Germany Functional Area: Research and Development Working Model: Hybrid Requisition ID: 13255

Build the Semantic Foundation of the Digital Product Lifecycle

The Corporate PLM Office and the Center of Competence (CoC) PLM are shaping the future of Product Lifecycle Management at B. Braun. As part of this journey, we are establishing a company-wide semantic information landscape that enables product information to be understood, connected, governed, and reused across systems, processes, and organizational boundaries.

To strengthen our team, we are looking for an experienced Semantic Product Information Architect (m/f/d). In this strategically important role, you will define, harmonize, and govern product-related information models, creating the semantic foundation for Digital Thread capabilities, advanced analytics, AI-driven solutions, and data-centric business processes.

You will work closely with stakeholders across PLM, the Corporate Data Framework (CDF), Data Intelligence Platform (DIP), Enterprise Architecture, and business functions involved throughout the product lifecycle.

Duties and Responsibilities:
  • Define, model, and maintain semantic information structures within the product data landscape.
  • Design and evolve a consistent semantic information model spanning the entire product lifecycle.
  • Establish and maintain semantic relationships, mappings, and traceability between information objects and system data records.
  • Define information objects, attributes, relationships, and business semantics in alignment with enterprise standards.
  • Harmonize product-related terminology, definitions, and information concepts across business units and functions.
  • Ensure consistency between semantic information models and implemented data structures within PLM and connected systems.
  • Support the development of Digital Thread, traceability, and product reference framework concepts.
  • Analyze and structure complex relationships between products, variants, components, documentation, and regulatory information.
  • Collaborate closely with Corporate Data Framework and Data Intelligence Platform teams to align enterprise information models.
  • Define and coordinate product-related information objects for enterprise-wide publication and reuse.
  • Contribute to the development and implementation of company-wide information standards and governance practices.
  • Facilitate workshops to drive information harmonization and semantic alignment across domains.
  • Advise business and functional teams on semantic modeling and product information architecture topics.
  • Support projects in defining and implementing standardized information models.
  • Document and communicate semantic standards, modeling principles, and governance guidelines.
Professional Competencies:
  • Successfully completed studies in Computer Science, Business Informatics, Engineering, Information Management, or a comparable field.
  • Several years of professional experience in one or more of the following areas:
    • Product Lifecycle Management (PLM)
    • Information Architecture
    • Enterprise Information Management
    • Data Governance
    • Master Data Management (MDM)
    • Knowledge Graphs
    • Semantic Technologies / Semantic Web
  • Strong understanding of product data structures and product development processes.
  • Experience in modeling information entities, relationships, metadata, and conceptual data models.
  • Knowledge of semantic modeling methodologies, ontologies, taxonomies, or knowledge graphs is considered an advantage.
  • Experience with enterprise data platforms, data catalogs, governance solutions, or information management environments is desirable.
  • Basic understanding of Systems Engineering, Model-Based Systems Engineering (MBSE), or Enterprise Architecture is beneficial.
  • Experience within regulated industries such as Medical Technology, Pharmaceuticals, or Life Sciences is an advantage.
  • Strong understanding of data quality, information governance, and information lifecycle management principles.
Personal Competencies:
  • Strong analytical and conceptual thinking skills.
  • Ability to translate complex concepts into structured, understandable, and actionable solutions.
  • Excellent communication, moderation, and stakeholder management skills.
  • Strong collaboration skills with interdisciplinary and international teams.
  • Structured, proactive, and solution-oriented working style.
  • Ability to drive alignment and consensus across organizational boundaries.
  • Passion for information management, digital transformation, and data-driven innovation.
  • High level of ownership, curiosity, and continuous improvement mindset.

Benefits:

  • Corporate networks
  • Company pension scheme
  • Mobility benefits, e.g., the B. Braun job ticket or job bike
  • Family‑friendly offerings, such as vacation childcare
  • Flexible working hours, including flextime and remote work options
  • Employee discounts

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