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Data Analytics Specialist

Offre en anglais

Lead the end-to-end design and technical delivery of complex AI and BI architecture initiatives aligned with enterprise strategy. Develop AI data models and secure pipelines to transform data into actionable business insights.

  • Hybride
  • Toronto, ON
  • Publié 2 sept. 2026
  • Postuler avant le 2 oct. 2026
  • 1 poste

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Résumé du poste

Title: AI & Data Analytics IT Specialist Duration: 12 Months (Possible extension) Location : North York preferred. Open to Calgary , Alberta and Ottawa for the right candidate that can follow hybrid schedule Hybrid(Mon, Tue, Thu in office) Description: As an AI & Data Analytics IT Specialist, you will play a pivotal role in shaping and delivering advanced analytics and AI-driven solutions that directly impact strategic and operational outcomes. This is an exciting opportunity for a seasoned technical professional to design and operationalize innovative data solutions for complex initiatives, while collaborating with cross-functional teams to turn data into meaningful, business-driving insights. What you will do: Lead end-to-end design and technical delivery of complex AI/BI architecture initiatives aligned with enterprise strategy and roadmaps. Provide technical leadership across programs ensuring robust design principles, effective tools, risk management, and delivery excellence. Approve and govern solution architecture for AI/Data products to ensure alignment with enterprise AI/analytics standards and industry best practices. Translate business requirements into scalable AI/analytics solutions, selecting appropriate technologies and approaches. Design and validate secure, reliable, high-performing analytics architectures that meet business needs and service expectations. Develop AI & analytics data models (e.g., AI agents, data marts) and ensure effective data pipelines for transformation, quality, and loading. Support solution implementation and operations through documentation, training, stakeholder communication, and issue resolution. What you have: Bachelor’s degree in a relevant field with 7+ years of progressive experience in AI/data architecture within large, complex organizations. Proven track record (5+ years) delivering enterprise-scale AI and analytics solutions, combining strong technical and analytical expertise. Deep knowledge of data architecture, databases (relational, NoSQL, NewSQL), and advanced analytics/AI/ML techniques for high-volume and complex datasets. Direct experience with AI/ML, LLMs, model lifecycle management, and responsible AI, including governance and risk frameworks. Strong expertise in modern data platforms and tools (e.g., Azure Data Factory, Databricks, ETL/ELT, big data, cloud-based analytics, BI tools like Power BI). Strategic thinker with the ability to align business, product, and technical needs in enterprise environments. Excellent communication, collaboration, and analytical skills, with the ability to address complex challenges, regulatory considerations, and stakeholder needs. TOGAF, Databricks Machine Learning or Data Engineering professional certification is an asset. Experience with version control, CI/CD, or MLOps practices. Knowledge of Agile development best practices, and experience with project management tools such as JIRA, Azure DevOps, and Confluence.

Ce que vous ferez

Lead the end-to-end design and technical delivery of complex AI and BI architecture initiatives aligned with enterprise strategy. Develop AI data models and secure pipelines to transform data into actionable business insights.

Exigences

Requires a Bachelor's degree and over 7 years of experience in AI/data architecture within large organizations. Must have deep expertise in modern data platforms, LLMs, and cloud-based analytics tools.

Compétences indiquées

  • Power BISouhaitée
  • CI/CDSouhaitée
  • Apprentissage automatiqueSouhaitée
  • AgileSouhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • AI Architecture
  • Data Architecture
  • Machine Learning
  • Large Language Models
  • Azure Data Factory
  • Databricks
  • Power BI
  • ETL/ELT
  • MLOps
  • CI/CD
  • Agile
  • Data Modeling

Domaines d’emploi

  • Data & Analytics
  • Technology
  • Software
  • Energy
  • Engineering

Renseignements supplémentaires

Formation minimale
Diplôme professionnel
Expérience minimale
5+ ans
Postuler avant le
2 oct. 2026
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Présence au bureau
3 jours par semaine
Niveau d’expérience
Mid-Senior level
Mode de candidature
La candidature directe est offerte