Director, Ai Engineering Operations & Data Engineering

Workday Inc

Toronto, Ontario, Canada
Base: $159,800 - $239,800 cad annually; bonus/equi...
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 and a newly formed AI Engineering Operations function within Workday's EDATA organization

Job Summary

  • This role oversees the strategic direction and execution of both core Data Engineering and a newly formed AI Engineering Operations function within Workday's EDATA organization.
  • The successful candidate will lead diverse teams of data engineers and AI/MLOps engineers while ensuring scalable, reliable, and efficient data flow across the enterprise.
  • Workday offers a flexible work approach requiring at least half of the time each quarter in-office or in the field, combined 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 and a newly formed AI Engineering Operations function within Workday's EDATA organization.

Salary

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

Key Requirements

  • Bachelor's or Master's degree required; PhD is a plus
  • 10+ years of experience in data or software engineering
  • 7+ years of experience managing and leading engineering teams

Work Rights

Not specified

Tailored Resume

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