Knowledge Graph Analyst & SME

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