Director, Ai Engineering Operations & Data Engineering

Workday

Toronto, ON, Canada
Base: $159,800 - $239,800 cad; bonus/equity: eligi...
Fully remote
10+ years data engineering experience
Aws snowflake databricks expertise
7+ years managing engineering teams
This role oversees the strategic direction 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 of both core Data Engineering and a newly formed AI Engineering Operations function within Workday's EDATA organization.
  • The successful candidate will lead high-performing teams to build scalable data pipelines and implement MLOps processes for industrializing AI models.
  • Workday offers a flexible work approach requiring at least 50% time in-office or with customers, along with competitive compensation including bonus and stock grants.

Matching Summary

This role oversees the strategic direction 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; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package available

Skills & Requirements

Must-have

  • 10+ years data engineering experience
  • AWS Snowflake Databricks expertise
  • 7+ years managing engineering teams
  • Enterprise ETL ELT pipeline design
  • MLOps lifecycle implementation
  • Cloud-native platform architecture

Nice-to-have

  • PhD in Computer Science or related field
  • Strong strategic thinking skills
  • Experience with cross-functional collaboration
  • Deep understanding of AI technologies
  • Ability to articulate technical concepts

Key Requirements

  • Bachelor's or Master's degree required
  • 10+ years in data/software engineering
  • 7+ years leading engineering managers
  • Proven MLOps/AI Ops function leadership

Work Rights

Not specified

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