Directeur, ingénierie des données et de l'IA (télétravail) | Director, Data and AI Enablement (Remote)

RTX
Ontario
Workplace: RemoteFull timeCAD 188,700 - 238,700 annuallyFunction: Data Science & Machine LearningExperience: 14+ yearsSkills: ["Leadership","Influence","Communication","Collaboration","Mentoring"]

Lead global data engineering, AI engineering, and foundational data services to make enterprise data—spanning IoT, field operations, and factory/production systems—ready for analytics, AI, and operational decision-making. Set strategy and govern end-to-end lifecycle, data architecture, integration, reliability, observability, and security. Own AI platform capabilities, MLOps/AI Ops workflows, and governed self-service while ensuring compliance with export control and data residency requirements.

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FursaFursa
RTX
RTX
1 month ago

Directeur, ingénierie des données et de l'IA (télétravail) | Director, Data and AI Enablement (Remote)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 days agoStatus: Live

Job Summary

Lead global data engineering, AI engineering, and foundational data services to make enterprise data—spanning IoT, field operations, and factory/production systems—ready for analytics, AI, and operational decision-making. Set strategy and govern end-to-end lifecycle, data architecture, integration, reliability, observability, and security. Own AI platform capabilities, MLOps/AI Ops workflows, and governed self-service while ensuring compliance with export control and data residency requirements.
Location: Ontario
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Set and lead enterprise strategy for data engineering, AI engineering, and foundational data services aligned to business outcomes.
  • •Ensure end-to-end enablement lifecycle for data from IoT, field, and factory/production sources through engineering, modeling, deployment, monitoring, and operational insight.
  • •Lead global teams for data architecture, data engineering, integration engineering, and data operations; define standards for coding, observability, resiliency, SLIs/SLOs, incident response, and operational playbooks.
  • •Own global AI platform capabilities, including compute environments, MLOps tooling, AI operational workflows, and model hosting; deliver reusable AI components and ensure security, performance, availability, compliance, and cost optimization.
  • •Drive operational excellence across reliability, availability, observability, and security; oversee monitoring, incident/problem management, capacity planning, disaster recovery, lifecycle management, and governed self-service.

Pay and Benefits

Salary: CAD 188,700 - 238,700 annually
Perks:Retirement SavingsHealth InsuranceDentalDisability BenefitsTuition Assistance

Key Requirements

  • •Bachelor’s degree in Computer Science, Management Information Systems, Information Technology, or a related technical field with 14+ years of experience across data capabilities, data engineering, and capability/technology operations; or an advanced degree with 12+ years.
  • •Experience leading large global engineering and operations teams.
  • •Deep expertise with cloud data ecosystems such as Databricks and Snowflake, including integration capabilities and cloud-native operations.
  • •Experience owning AI capabilities, MLOps pipelines, model operations, and high-performance compute environments.
  • •Strong understanding of data architecture, observability, operational frameworks, and capability/security requirements.
Experience:14+ years
Skills:LeadershipInfluenceCommunicationCollaborationMentoring
Tech Stack:IoTDatabricksSnowflakeMLOpsAI OpsSRESAP S/4HANASLISLO

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website