Vice President (non-competitive), Business Data Architect

TD

Toronto, Ontario, Canada
Base: $120,000 - $160,000 cad; bonus: discretionar...
10+ years experience in data architecture
Translate business strategy into data architecture
Define and govern data models and domains
The primary goal of this role is to define, own, and evolve the business data architecture that enables business strategy, decision making, and operational execution

Job Summary

  • The primary goal of this role is to define, own, and evolve the business data architecture that enables business strategy, decision making, and operational execution.
  • This role serves as the architectural bridge between business strategy and technical execution, translating business objectives into target state data architectures.
  • TD offers a competitive total rewards package including base salary, variable compensation, health benefits, and extensive career development opportunities.

Matching Summary

The primary goal of this role is to define, own, and evolve the business data architecture that enables business strategy, decision making, and operational execution.

Salary

Base: $120,000 - $160,000 CAD; Bonus: Discretionary variable compensation award based on performance; Benefits: Health, well-being, savings, retirement, paid time off, and banking discounts

Skills & Requirements

Must-have

  • 10+ years experience in data architecture
  • Translate business strategy into data architecture
  • Define and govern data models and domains
  • Deep understanding of modern cloud data platforms
  • Experience with data governance and regulatory alignment

Nice-to-have

  • Strong communication and storytelling skills
  • Ability to influence without direct authority
  • Financial services experience preferred
  • Experience with AI/ML use cases
  • Knowledge of Data as a Product concepts

Key Requirements

  • 10+ years of experience in data architecture or related roles
  • Proven ability to translate complex business strategy into enterprise-scale data architectures
  • Strong experience with data modeling, semantic layers, and metadata management
  • Experience supporting enterprise data transformations and regulatory initiatives
  • Financial services experience preferred

Work Rights

Not specified

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