Director, Ai Engineering Operations & Data Engineering

Workday

Toronto, ON, Canada
Base: $159,800 - $239,800 cad; bonus/equity: eligi...
Fully remote
10+ years experience in data engineering
7+ years managing high-performing engineering teams
Expertise with aws snowflake databricks ecosystems
This role oversees the strategic direction and execution of both core Data Engineering & Integrations and a newly formed AI Engineering Operations function

Job Summary

  • This role oversees the strategic direction and execution of both core Data Engineering & Integrations and a newly formed AI Engineering Operations function.
  • The position requires leading diverse teams of data engineers, integration specialists, and AI/MLOps engineers while fostering a culture of innovation and ownership.
  • Workday offers flexible work arrangements requiring at least half of the time each quarter in-office or in the field, along with competitive compensation including base salary, bonus, and stock grants.

Matching Summary

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

Salary

Base: $159,800 - $239,800 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package available

Skills & Requirements

Must-have

  • 10+ years experience in data engineering
  • 7+ years managing high-performing engineering teams
  • Expertise with AWS Snowflake Databricks ecosystems
  • Experience building MLOps/AI Engineering Operations function
  • Deep familiarity with MLflow Kubeflow Sagemaker tools

Nice-to-have

  • PhD in Computer Science or related field
  • Strong strategic thinking and problem-solving skills
  • Ability to articulate complex technical concepts
  • Culture of innovation reliability and ownership
  • Experience with cross-functional team management

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 10+ years experience in data or software engineering
  • 7+ years experience managing engineering managers
  • Proven track record scaling enterprise ETL/ELT pipelines
  • Experience industrializing experimental models into production services

Work Rights

Not specified

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