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Tiger Analytics

Delivers Data and AI transformation

Knowledge Graph Analyst

Data ManagementConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaNo salary listed

About the Job

Requirements

  • At least 6 years of practical experience implementing enterprise data governance frameworks and building production knowledge graphs.
  • A proven track record of building and deploying production graphs using Neo4j and advanced Cypher query language.
  • Must be based in Toronto, or be based in Canada and commit to working on-site in Toronto full-time for at least the first 3 months.
  • Good communication and presentation skills, with a track record of driving consensus among non-technical business executives.
  • Demonstrated experience governing data across combined on-premise and cloud architectures.

Responsibilities

  • Lead end-to-end design and deployment of enterprise knowledge graphs using Neo4j and Cypher.
  • Integrate data governance principles into graph structures by mapping ontologies, taxonomies, data lineage, source systems, critical data elements, and data quality metrics.
  • Act as the primary subject-matter expert in the Toronto office, interfacing with business leaders, data stewards, and technology teams to drive adoption and define data definitions.
  • Oversee graph and metadata governance integrations across legacy on-premise and modern cloud infrastructures.
  • Write, test, and tune complex Cypher queries and schema designs for high performance at enterprise scale.

Desired Qualifications

  • Prior experience in banking or financial services is highly preferred.
  • Hands-on experience with Python using NetworkX, RDF/SPARQL, or SQL graph databases is a plus.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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