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CIM Lead-Ontology Expert

Job in Flint, Genesee County, Michigan, 48567, USA
Listing for: Go Digital Technology Consulting LLP
Full Time position
Listed on 2026-07-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Requisition: CIM Lead — Ontology Expert Role Summary

We are seeking a hands‑on CIM Lead with deep expertise in ontology design and implementation. This is a practitioner role for someone who has taken ontologies from concept to production. Candidates without practical, hands‑on experience should not apply.

Location
  • Preference 1:
    Mumbai
  • Preference 2:
    Pune
  • Preference 3:
    Pan India
Experience
  • Open (Any level), provided the candidate meets the hands‑on, production‑implementation criteria below
Key Responsibilities
  • Lead the design, development, and production deployment of enterprise ontologies
  • Architect and maintain semantic data models and knowledge graphs
  • Define and enforce data shapes and validation rules using SHACL
  • Build and optimize solutions on graph databases
  • Collaborate with cross-functional stakeholders to translate business requirements into semantic models
  • Provide technical leadership and mentorship to the team
Required Qualifications (Must‑Have)
  • Proven expertise as an Ontologist with advanced knowledge of ontology engineering concepts
  • Demonstrated experience implementing ontologies through to production in at least one sector (Finance, Insurance, Utility, or Workforce)
  • Hands‑on, practical proficiency with SHACL (Shapes Constraint Language)
  • Hands‑on experience working with graph databases (e.g., Amazon Neptune or equivalent)
  • Strong communication skills
Preferred Qualifications (Good‑to‑Have)
  • Experience working with the Common Information Model (CIM)
  • Experience leading or managing a team
Important Note

This is a hands‑on technical leadership role. Only candidates with proven, practical experience who have implemented ontologies in a production environment will be considered.

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