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Added 14 mins ago
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Tiger Analytics

Knowledge Graph Analyst & SME

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 30, 2026
Experience: Job Title: Knowledge Graph Analyst / SME (6+ years overall experience)
Posting language: English
Posted: Sep 30, 2026

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Original job description

Job Title: Knowledge Graph Analyst / SME (6+ years overall experience)

Location: Toronto, ON (Hybrid - Full-time on-site in Toronto office required for the initial 3 months at minimum)

Employment Type: Full-time

Role Overview

We are seeking a Senior Knowledge Graph SME to lead the architecture, design, and implementation of an enterprise Knowledge Graph for a major client. Bringing a minimum of 6 years of hands-on experience in data governance and 2-3+ years in graph implementations, you will bridge technical graph development with strategic data governance frameworks.

You will model complex data ecosystems across ontology, taxonomy, end-to-end lineage, data sources, critical data elements (CDEs), and quality metrics. Located in Toronto, you will act as a primary partner to business leadership, translating business needs into performant Neo4j graph structures.

Key Responsibilities

· Graph Architecture & Development: Lead end-to-end design and deployment of enterprise knowledge graphs using Neo4j and Cypher.

· Governance Framework Integration: Embed deep data governance principles into graph structures - mapping ontologies, taxonomies, data lineage, source systems, CDEs, and data quality metrics.

· Stakeholder Facilitation: Act as the primary SME in the Toronto office, interfacing directly with business leaders, data stewards, and tech teams to drive adoption and define data definitions.

· Hybrid Data Management: Oversee graph and metadata governance integrations across both legacy on-premise and modern cloud infrastructures.

· Query & Schema Optimization: Write, test, and tune complex Cypher queries and schema designs to ensure high performance at enterprise scale.

Required Qualifications & Experience

· Seniority & Experience: 6+ years of dedicated, practical experience implementing enterprise Data Governance frameworks and 2-3+ years experience in building production Knowledge Graphs. This experience should be primarily/ majority with on-prem implementations.

· Core Tech Stack: Proven track record building and deploying production graphs using Neo4j and advanced Cypher query language.

· Good database experience

· Strong knowledge and experience working with property graph data model.

· Location & Presence: Must be based in Toronto (or in Canada with full commitment to work on-site in Toronto full-time for the first 3 months minimum).

· Communication: Good communication and presentation skills, with a track record of driving consensus among non-technical business executives.

· Environment Expertise: Demonstrated background governing data across combined on-premise and cloud architectures.

Good to have:

· Experience with programming business rules in Knowledge Graphs is a big plus

· Experience in AWS Neptune is good to have

· Knowledge of BPM is a plus

· Domain Background: Prior experience in Banking or Financial Services (highly preferred)

Additional Graph Methods: Hands-on experience with Python (NetworkX), RDF/SPARQL, or SQL Graph databases is a plus

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More about this job

Responsibilities

Lead the architecture, design, and deployment of enterprise knowledge graphs using Neo4j and Cypher, integrating governance concepts such as ontologies, taxonomies, lineage, source systems, critical data elements, and quality metrics. Partner with business leaders, data stewards, and technical teams to define data requirements, support adoption, govern hybrid on-premise and cloud environments, and optimize graph queries and schemas.

Requirements

Requires at least six years of practical data governance experience and two to three or more years building production knowledge graphs, primarily in on-premise environments. Candidates need production experience with Neo4j, advanced Cypher, property graph models, databases, hybrid data architectures, and strong communication skills; banking or financial services experience is highly preferred.

Skills

Data Governance
Knowledge Graphs
Neo4j
Cypher
Property Graph Data Modeling
Ontology
Taxonomy
Data Lineage
Metadata Governance
Data Quality
Database Management
Stakeholder Facilitation
Schema Optimization
Python
RDF/SPARQL
AWS Neptune

Visa sponsorship

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Keywords

Enterprise Knowledge Graph
Data Governance
Neo4j
Cypher
Property Graph
Ontology
Taxonomy
Data Lineage
Metadata Governance
Critical Data Elements
Data Quality Metrics
On-Premise Infrastructure
Cloud Infrastructure
Schema Design
Query Optimization
Database Management
Business Rules
AWS Neptune
Business Process Management
Python
NetworkX
RDF
SPARQL
SQL Graph Databases
Banking
Financial Services
Stakeholder Management

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