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Lululemon

Direct-to-consumer premium activewear and footwear

Senior Cybersecurity Engineer - Data & AI Security

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeVancouver, BC, Canada

About the Job

Requirements

  • A bachelor's degree in Computer Science, Cybersecurity, or a related field is required; a security certification is strongly preferred.
  • Six to ten years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale, or equivalent.
  • Experience with Data Security Posture Management, Data Loss Prevention, AI Security Posture Management, or related data security technologies, including data discovery, classification, runtime monitoring, and policy enforcement across enterprise and cloud environments.
  • Experience owning, operating, or maturing enterprise security platforms and capabilities, including operationalization, roadmap execution, adoption, and continuous improvement.
  • A systems engineering mindset with experience designing scalable solutions, integrations, automation, and operational processes.
  • Experience translating security findings into prioritized remediation plans and measurable risk-reduction outcomes.
  • Experience identifying and mitigating risks associated with sensitive data exposure, AI-enabled solutions, cloud data platforms, and emerging technologies.
  • Proven ability to lead enterprise-scale security capabilities and initiatives, driving alignment, adoption, and measurable outcomes across technical and business teams.
  • Experience defining metrics, reporting, operational processes, and service models that support sustainable security capabilities at enterprise scale.
  • Ability to explain complex technical concepts and influence decisions across engineering, cybersecurity, data, privacy, legal, and business teams.
  • Experience mentoring engineers and contributing to technical direction, best practices, and capability maturity within a security engineering organization.
  • Authorization to work in Canada is required.
  • Acknowledge choice in every moment and take personal responsibility for your life.
  • Possess an entrepreneurial spirit and continuously innovate to achieve great results.
  • Communicate with honesty and kindness and create the space for others to do the same.
  • Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
  • Foster connection by putting people first and building trusting relationships.
  • Integrate fun and joy as a way of being and working.

Responsibilities

  • Build enterprise security systems that implement centralized authentication, security platforms, and organization-wide controls.
  • Lead comprehensive threat modeling and security assessments for complex systems, evaluate attacker behavior across integrations, and influence secure design decisions early in the development lifecycle.
  • Own end-to-end response for complex security incidents, drive deep root cause analysis, and deliver coordinated long-term improvements to detection, prevention, and security monitoring capabilities.
  • Develop advanced security code, tools, and libraries, including security automation platforms, scanners and detectors, security testing systems, and security software development kits.
  • Establish security code standards that define secure coding practices, code review requirements, and implementation quality.
  • Lead complex security engineering initiatives by designing and implementing security controls, platforms, and solutions that protect critical systems at scale.
  • Build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation.
  • Apply secure coding practices and rigorous testing and validation.
  • Partner with engineering teams to embed security into system design and delivery, drive improvements to security quality and reliability, and mentor junior engineers through hands-on technical leadership and knowledge sharing.
  • Secure the organization's AI ecosystem by discovering, assessing, and mitigating risks associated with AI models, data usage, model lifecycle, and AI-driven workflows.
  • Partner with Data Governance, Platform Engineering, and Security Architecture to enable safe and scalable AI adoption while ensuring regulatory, privacy, and corporate policy alignment.

Desired Qualifications

  • A security certification is strongly preferred.

About the Company

Lululemon

Direct-to-consumer premium activewear and footwear

Lululemon Athletica focuses on premium activewear, loungewear, and footwear for people with active lifestyles. The company sells high-quality, stylish apparel online and through its own stores, using a direct-to-consumer model and a strong community approach through events and an Ambassador program. Its products are designed for activities like yoga, running, training, and everyday wear, emphasizing performance fabrics, comfort, and versatility. Lululemon differentiates itself from competitors with a premium positioning, a loyal customer base, and a robust community and brand-building strategy, rather than relying on third-party retailers. The company’s goal is to be a leading premium brand in the activewear market by delivering high-quality products, fostering customer loyalty, and growing its direct-to-consumer footprint.

Company size
10,001+
Company stage
IPO
Headquarters
Vancouver, Canada
Founded
1998

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