Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are seeking a Senior Knowledge Graph Analyst 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 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.
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.
Requirements
- Seniority Experience: 6+ years of dedicated, practical experience implementing enterprise Data Governance frameworks and building production Knowledge Graphs.
- Core Tech Stack: Proven track record building and deploying production graphs using Neo4j and advanced Cypher query language.
- 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:
- 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.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Skills Required
- Proven experience designing and delivering enterprise Knowledge Graph systems in production
- Deep expertise in ontology modeling, taxonomy development, metadata architectures, and Property Graph models
- Experience with graph databases such as Neo4j, Amazon Neptune, or Cosmos DB
- Strong enterprise Data Architecture and Governance experience, including metadata lineage, data quality platforms, stewardship frameworks, and business glossaries
- Ability to bridge technical AI and engineering teams with non-technical business stakeholders to drive consensus on data models
- Proficiency with Cypher, Gremlin, or SPARQL
- Experience with graph databases and modern data stack integrations, including ETL/ELT pipelines, APIs, and cloud platforms
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
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Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
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Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
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Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
