Director, Data and AI Engineering

Posted 4 days ago

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About the role

  • Director of Data and AI Enablement overseeing data engineering and AI capabilities at Pratt & Whitney. Responsible for ensuring secure and reliable data across the enterprise.

Responsibilities

  • Define and lead the data engineering, AI engineering, and core data services strategy to ensure scalability, efficiency, and alignment with business objectives.
  • Manage end-to-end data lifecycle from multiple sources (IoT, field data, manufacturing and production systems), including engineering, modeling, deployment, monitoring, and data operations.
  • Lead global teams responsible for data architecture, data engineering, integration, and data operations.
  • Ensure AI environments meet security, performance, availability, compliance, and cost-optimization requirements.
  • Promote global convergence of data and AI capabilities, tools, engineering best practices, and operational processes.
  • Oversee global monitoring, incident and problem management, capacity planning, disaster recovery, and lifecycle management.

Requirements

  • Bachelor's degree in Computer Science, Management Information Systems, Information Technology, or a related technical field, combined with a minimum of 14 years' experience in data engineering, platform engineering, and platform operations; OR a graduate degree in a relevant field combined with a minimum of 12 years' experience in these areas.
  • Experience leading large global engineering and operations teams.
  • Deep expertise with cloud data ecosystems such as Databricks and Snowflake, and their integration capabilities.
  • Experience with AI platforms, MLOps pipelines, model operations, and high-performance compute environments.
  • Excellent understanding of data architecture, engineering patterns, observability, operational frameworks, and platform security.
  • Proven ability to translate business strategy into a technical roadmap and to deliver scalable, enterprise-wide capabilities.
  • Strong influencing, communication, and collaboration skills with technical and business leaders.
  • Recognized experience in modernization, standardization, reliability engineering, and operational excellence.
  • Demonstrated success in building and developing high-performing engineering and operations teams.

Benefits

  • Employer-contributed pension and savings plan
  • Group insurance program
  • Career advancement opportunities
  • Merit or recognition program
  • Health and wellness program, including telemedicine
  • Recreational and sports club
  • Nearby daycare facilities
  • Transit accessibility or public transit program and free parking

Job type

Full Time

Experience level

Lead

Salary

CA$188,700 - CA$238,700 per year

Degree requirement

Bachelor's Degree

Tech skills

IoTTypeScript

Location requirements

RemoteCanada

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