MA

Senior Manager AI Model Validation

Toronto, Ontario
On-site
Full-time
No salary posted5 days ago
Employment type
Full-time · On-site
Posted
November 8, 2026
NOC code
21231 — Software engineers and designers
Province
Ontario (ON)

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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This is a high-visibility, high-impact role suitable for experienced data scientists who also have strong communications ability and business awareness, as well as the ability to make judgment calls in ambiguous situations. You will support Global AI Model Validation and Governance’s mandate of identifying, assessing, and communicating AI/ML model risks across all AI/ML models deployed across Manulife globally. You will provide thoughtful independent challenge ot models, weighing the risks and …

This role is based in Ontario. The Canadian NOC code for this position is 21231 — Software engineers and designers. Manulife group is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Senior Manager AI Model Validation in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

21231 — Software engineers and designers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.

Typical qualifications for Canadian employers

  • Experienced data scientist background
  • Strong communication abilities
  • Business awareness
  • Ability to make judgment calls in ambiguous situations
  • Knowledge of AI/ML model risks and governance

Fit check

Is this role right for you?

Top skills this posting asks for:

  • AI/ML model validation
  • Risk assessment
  • Data science

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What you'll do

  • Support Global AI Model Validation and Governance mandate
  • Identify and assess AI/ML model risks across deployed models globally
  • Communicate model risks across the organization
  • Provide independent challenge to models
  • Weigh risks and make informed assessments

What you'll need

  • Experienced data scientist background
  • Strong communication abilities
  • Business awareness
  • Ability to make judgment calls in ambiguous situations
  • Knowledge of AI/ML model risks and governance

About the Company

MA

Manulife group