Full-Time

Program Manager

Data and AI Security

Canadian Tire

Canadian Tire

Compensation Overview

$80k - $131k/yr

+ Performance Incentives

Toronto, ON, Canada + 2 more

More locations: Mississauga, ON, Canada | Oakville, ON, Canada

In Person

Category
Business & Strategy (1)
Required Skills
Cryptography
Data Governance
Requirements
  • Experience: 7+ years in program management within technology or cybersecurity, with at least 4+ years focused on AI and data security.
  • Deep understanding of AI and data security controls, including: AI Security: Model integrity, adversarial attack mitigation, secure machine learning pipelines, and responsible AI principles; Data Security: Database hardening, encryption (data-at-rest and in-transit), tokenization, and secure data lifecycle management; Data Governance: Privacy compliance (General Data Protection Regulation, California Consumer Privacy Act), secure data sharing, and identity-based access controls.
  • Industry Certifications: Certified Information Systems Security Professional, Certified Cloud Security Professional, Certified Information Security Manager, or equivalent required; AI security certifications (e.g., Certified AI Security Specialist) preferred.
  • Communication and Influence: Proven ability to influence outcomes and drive consensus across diverse technical and business stakeholders.
Responsibilities
  • Develop and maintain an AI and data security capabilities roadmap aligned with organizational cyber strategy and risk assessments.
  • Define and enforce security-focused technical standards and guidelines for AI models, data platforms, and database technologies.
  • Establish clear security requirements for AI systems, data pipelines, and storage solutions, ensuring alignment with compliance frameworks and enterprise risk posture.
  • Partner with architecture and engineering teams to embed security requirements into AI model development, data governance, and operational practices.
  • Engage with stakeholders to prioritize initiatives that strengthen our Data And AI posture while balancing business objectives.
  • Drive alignment across engineering, operations, and architecture teams through outcome-driven planning and dependency management.
  • Define, defend, align and adjust iteratively on recommendations: Governance reinforcement; Tool rationalization opportunities; Prioritization of in-flight initiatives (e.g. stop or continue); Capability gaps (e.g., lifecycle automation, analytics); Quick wins (e.g., decommissioning unused tools, automating manual processes); Security posture preservation.
  • Define, defend, align, adjust short-term (0–6 months), mid-term (6–18 months), and long-term (18+ months) roadmap for CTC, including common solutions intended for use across CTC enterprise.
  • Prioritize roadmap initiatives based on impact, cost, and feasibility.
  • Identify areas requiring deeper analysis of integrations, workflows, and dependencies.
  • Embed governance and security controls into roadmap initiatives.
  • Present roadmap to relevant executive stakeholders for feedback and alignment.
  • Deliver a detailed capability framework, aligned to the strategic expectations of CISO and deep technical engagement with CTC Platform owners.
  • Capability Heatmap and In-Flight Initiatives Mapped to Framework Expectations.
  • Prioritized recommendations aligned to the approved capability framework.
  • Deep knowledge and technical experience in delivering a comprehensive capability roadmap for network and security infrastructure.
  • Facilitate fact-based, data-driven decision-making with domain expertise.
  • Influence technical and business outcomes through strong interpersonal and negotiation skills.
  • Engage with cross-functional teams to gather feedback, identify improvement areas, and implement actionable solutions.
Desired Qualifications
  • AI security certifications (e.g., Certified AI Security Specialist) preferred.
  • Familiarity with compliance frameworks (NIST AI Risk Management Framework, ISO 27001, GDPR).
  • Experience with secure AI development tools and data platforms (Co-Pilot, TensorFlow, PyTorch, Hadoop, Spark, DataBricks, Power Platform, Azure AI Studio/ AI Foundry).
  • SAFe Certification is a plus

Company Size

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Company Stage

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Total Funding

N/A

Headquarters

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Founded

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