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.

Setting Expertise: Demonstrated background governing data across combined on-premise and cloud architectures. Valuable to have:

Experience with programming business rules in Knowledge Graphs is a big plus Experience in AWS Neptune is valuable 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

📌 Knowledge Graph Analyst & SME (Toronto)
🏢 Tiger Analytics
📍 Toronto