Director, Ai Engineering Operations & Data Engineering

Workday

Toronto, Ontario, Canada
Base: $159,800 - $239,800 cad; bonus/equity: may b...
Fully remote
Data engineering & integrations
Ai engineering operations (aiops/mlops)
Cloud-native platforms (aws, snowflake, databricks)
This role oversees the strategic direction and execution of both our core Data Engineering & Integrations function and a newly formed AI Engineering Operations function

Job Summary

  • This role oversees the strategic direction and execution of both our core Data Engineering & Integrations function and a newly formed AI Engineering Operations function.
  • You'll ensure the scalable, reliable, and efficient flow of data and the seamless deployment and operation of our AI models, serving as a key partner to our internal business stakeholders.
  • We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.

Matching Summary

This role oversees the strategic direction and execution of both our core Data Engineering & Integrations function and a newly formed AI Engineering Operations function.

Salary

Base: $159,800 - $239,800 CAD; Bonus/Equity: May be eligible for bonus plan or stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Data Engineering & Integrations
  • AI Engineering Operations (AIOps/MLOps)
  • Cloud-native platforms (AWS, Snowflake, Databricks)
  • MLOps lifecycle management
  • Scalable, reliable, and efficient data flow
  • Production environment for AI models

Nice-to-have

  • Curious minds and courageous collaborators
  • Sun-drenched optimism and drive
  • Integrity, empathy, and shared enthusiasm
  • Meaningful work with supportive colleagues

Key Requirements

  • 10+ years of experience in data engineering or related field
  • 10+ years of expertise with major cloud platforms
  • 7+ years of experience managing and leading engineering teams
  • Proven experience in designing and scaling complex ETL/ELT pipelines
  • Experience building and leading an MLOps/AI Engineering Operations function
  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field

Work Rights

Not specified

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