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Posted 2 months ago

Knowledge Graph Analyst

@ Tiger Analytics Inc.

Toronto, Ontario

On-siteFull-time6+ years experience
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Overview

Tiger Analytics is hiring a Senior Knowledge Graph Analyst in Toronto to lead design and deployment of an enterprise knowledge graph for a major client. The role requires 6+ years of data governance and production graph experience, with on-site work in Toronto full-time for the first 3 months minimum.

Responsibilities:

  • Lead end-to-end design and deployment of enterprise knowledge graphs using Neo4j and Cypher
  • Embed data governance into graph structures, mapping ontologies, taxonomies, lineage and CDEs
  • Act as primary SME interfacing with business leaders, data stewards and tech teams
  • Oversee graph and metadata governance across on-premise and cloud infrastructures
  • Write, test and tune complex Cypher queries and schemas for enterprise scale

Requirements summary:

  • 6+ years of data governance and production knowledge graph experience
  • Proven track record with Neo4j and advanced Cypher
  • Demonstrated governance across combined on-premise and cloud architectures
  • Track record driving consensus among non-technical executives
  • Based in Toronto or willing to work on-site in Toronto full-time for first 3 months

Tools & skills

Source and dates

Employer career site / ATS feed · workable

Employer posting date
2026-08-27
First seen by our source
2026-10-09
Source record updated
2026-10-09

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Experience6+ years
Hours per week40 (estimated)
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Tiger Analytics Inc.

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.

Full company description

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.

LinkedIn followers
630,421
People associated on LinkedIn
6,613
Reported office locations
  • 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
  • 111 Town Square Pl, Jersey City, New Jersey 07310, US
  • 36 Robinson Rd, Singapore, Singapore 068877, SG
  • 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
  • 5151 Headquarters Dr, Plano, Texas 75024, US
  • 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
  • 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
  • 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
  • RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
  • Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
  • 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
  • De Entree 252, Amsterdam, North Holland 1101 EE, NL
Business categories
  • News
  • Consulting
  • Analytics
  • Advertising
  • Big Data
  • Machine Learning
Other recorded names
  • Tiger Analytics
  • Tiger Analytics Inc.
Specialties
  • Machine Learning
  • Predictive Analytics
  • Forecasting
  • Natural Language Processing
  • Computer Vision
  • Cloud Data Platform Engineering
  • Data-as-a-service
  • Lean Data Governance
  • Modern BI & Data Warehousing
  • AI/ML Ops
  • ML Product Engineering
  • Data Engineering
  • Data Modernization
  • and Generative AI
Profile identifies a recruitment agency
No
Reported total investment
0

Currency and observation date were not supplied; this is not a current valuation or a funding round.

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…

FieldValue
IndustryBusiness Consulting and Services
Company size5,001-10,000 employees
HeadquartersSanta Clara, CA
Organization typePrivately Held
Year founded2011
SpecialtiesMachine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
Open jobs on Jobsy81
LinkedInView page
Job description

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.
  • 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.

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.

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