Director, Ai Engineering Operations & Data Engineering

Workday

Toronto, 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 for Data Engineering, Integrations, and a newly formed AI Engineering Operations function within Workday's EDATA organization

Job Summary

  • This role oversees the strategic direction for Data Engineering, Integrations, and a newly formed AI Engineering Operations function within Workday's EDATA organization.
  • The successful candidate will lead high-performing teams to ensure scalable data pipelines and seamless deployment of AI models using platforms like Snowflake and Databricks.
  • Workday offers a flexible work approach requiring at least 50% time in-office or with customers, along with competitive compensation including base salary, bonus, and stock grants.

Matching Summary

This role oversees the strategic direction for Data Engineering, Integrations, 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 described as available

Skills & Requirements

Must-have

  • 10+ years data engineering experience
  • AWS Snowflake Databricks expertise
  • 7+ years managing engineering teams
  • MLOps and AI Engineering Operations
  • Enterprise ETL/ELT pipeline design
  • Cloud-native platform architecture

Nice-to-have

  • PhD in Computer Science or related field
  • Strong strategic thinking skills
  • Excellent communication abilities
  • Experience with cross-functional collaboration
  • Deep understanding of AI technologies

Key Requirements

  • Bachelor's or Master's degree required; PhD is a plus
  • 10+ years in data or software engineering
  • 7+ years of people management experience
  • Proven track record in MLOps/AI Ops strategy

Work Rights

Not specified

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