A Project Manager manages work on projects with a defined scope, start and completion point. Leads project teams, manages project budgets and schedules; manages contractors and communications with stakeholders. May manage projects in construction, information technology or in other industries.
Across USA any Location (only FTE)
Job Summary
The Knowledge Graph & Semantic Architect is responsible for designing and implementing enterprise semantic models, healthcare knowledge graphs, and AI-ready data ecosystems on Google Cloud Platform (GCP). This role enables semantic interoperability, healthcare data discovery, advanced analytics, GenAI, and clinical intelligence by integrating healthcare data, ontologies, metadata, and industry standards across the enterprise.
Key Responsibilities
Define and execute the enterprise semantic architecture and knowledge graph strategy.
Design and implement healthcare knowledge graphs representing patients, providers, encounters, diagnoses, medications, and clinical outcomes.
Develop and govern healthcare ontologies, taxonomies, semantic models, and business vocabularies.
Enable semantic interoperability leveraging FHIR, HL7, C-CDA, X12, DICOM, OMOP, and OpenEHR.
Integrate semantic solutions with metadata catalogs, business glossaries, data lineage, and master data management platforms.
Design semantic layers and graph-based solutions supporting GenAI, RAG, clinical decision support, population health, and healthcare analytics.
Implement semantic search, knowledge discovery, and natural language data exploration capabilities.
Establish governance standards for knowledge graphs, ontologies, semantic models, and AI data assets.
Partner with Data Governance, Data Engineering, Analytics, AI, and Clinical Informatics teams to drive enterprise adoption.
Required Experience
10+ years of Data Architecture, Information Architecture, or Semantic Technology experience.
5+ years designing enterprise knowledge graph, ontology, or semantic solutions.
Experience supporting enterprise AI, analytics, interoperability, and data governance initiatives.
Technical Skills
Semantic & Knowledge Graph
Knowledge Graph Architecture
RDF, OWL, SKOS, Linked Data
Ontology & Taxonomy Development
SPARQL, Cypher
Semantic Modeling & Knowledge Engineering
Google Cloud Platform (GCP) Tech Stack
AI & Analytics
Generative AI
Retrieval-Augmented Generation (RAG)
Machine Learning
NLP
Semantic Search
Knowledge Engineering
Preferred Technologies
Neo4j
Stardog
GraphDB
Collibra
The pay range for this role is $170k - $180k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com."
