Director, Ai Engineering Operations & Data Engineering

Workday

Toronto, Canada
Base: $159,800 - $239,800 cad; bonus/equity: may b...
Fully remote
Modern data architectures/frameworks
Cloud-native platforms (aws, snowflake, databricks)
Mlops/aiops
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.
  • Our culture is rooted in integrity, empathy, and shared enthusiasm; we look for curious minds and courageous collaborators who bring sun-drenched optimism and drive.

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 Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits

Skills & Requirements

Must-have

  • modern data architectures/frameworks
  • cloud-native platforms (AWS, Snowflake, Databricks)
  • MLOps/AIOps
  • ETL/ELT data pipelines
  • enterprise data integrations
  • AI model deployment and operation

Nice-to-have

  • sun-drenched optimism and drive
  • curious minds and courageous collaborators
  • empathy and shared enthusiasm
  • bold ideas and genuine care

Key Requirements

  • 10+ years of experience in data engineering or related technical 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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