Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Permanent — employment source
Employment type Permanent - Full Time
Read the full posting

What you’ll work on

Design and maintain enterprise ontologies, taxonomies, business vocabularies, and semantic data models.
Develop and manage knowledge graphs that connect business entities, relationships, processes, and data assets.
Collaborate with business and technical teams to define common business concepts and data standards.

From the employer’s posting

Key Responsibilities Design and maintain enterprise ontologies, taxonomies, business vocabularies, and semantic data models. Develop and manage knowledge graphs that connect business entities, relationships, processes, and data assets.

Design and maintain enterprise ontologies, taxonomies, business vocabularies, and semantic data models. Develop and manage knowledge graphs that connect business entities, relationships, processes, and data assets. Collaborate with business and technical teams to define common business concepts and data standards.

Develop and manage knowledge graphs that connect business entities, relationships, processes, and data assets. Collaborate with business and technical teams to define common business concepts and data standards. Implement semantic modeling solutions within Microsoft Fabric and related Microsoft data and AI platforms.

Tools in this posting

Source

- Experience with graph databases, linked data concepts, RDF, OWL, SPARQL, or similar semantic technologies. - Strong SQL and data modeling skills with a solid understanding of data engineering principles. - Knowledge of AI, machine learning, and RAG architectures is highly desirable.

Job description

View original posting ↗

Imagine being part of a team that is actively driving the future. At Davies, we combine technology, analytics, AI, and professional services to help clients solve complex business challenges across insurance and regulated industries.
We are seeking an Ontologist to design, develop, and govern enterprise knowledge models that enable AI, analytics, and intelligent data products. This role will partner closely with Data Scientists, Data Engineers, Business Analysts, and business stakeholders to create semantic frameworks, knowledge graphs, and metadata solutions that improve data discoverability, interoperability, and AI outcomes.

Key Responsibilities

Design and maintain enterprise ontologies, taxonomies, business vocabularies, and semantic data models.
Develop and manage knowledge graphs that connect business entities, relationships, processes, and data assets.
Collaborate with business and technical teams to define common business concepts and data standards.
Implement semantic modeling solutions within Microsoft Fabric and related Microsoft data and AI platforms.
Support generative AI, retrieval augmented generation (RAG), and advanced analytics initiatives through knowledge representation techniques.
Establish governance processes for ontology lifecycle management, versioning, stewardship, and quality assurance.
Work with Data Engineering teams to integrate ontologies and graph structures into data pipelines and analytical solutions.
Document semantic models and provide training to technical and business stakeholders.
Monitor emerging industry standards and best practices related to knowledge representation, linked data, and semantic technologies

Skills, Knowledge and Expertise

Bachelor's degree in Information Science, Computer Science, Data Science, Knowledge Management, Library Science, or related field.
3+ years of experience in ontology development, semantic technologies, metadata management, or knowledge graph solutions.
Experience designing and implementing knowledge graphs and semantic data models.
Strong understanding of ontology concepts, taxonomy design, and enterprise information architecture.
Hands-on experience with Microsoft Fabric and modern cloud-based data platforms.
Experience with graph databases, linked data concepts, RDF, OWL, SPARQL, or similar semantic technologies.
Strong SQL and data modeling skills with a solid understanding of data engineering principles.
Knowledge of AI, machine learning, and RAG architectures is highly desirable.
Excellent communication, documentation, facilitation, and stakeholder management skills.
Ability to translate complex business concepts into scalable semantic models and knowledge structures.

Employment type

Permanent - Full Time

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on davies.pinpointhq.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Viman Nagar – Pune, Maharashtra, Pune

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at davies.pinpointhq.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 20, 2026
Recorded sightings: 66
Last seen by us: Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn

Lead Associate - Data Ontology / AI