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Senior Cybersecurity Engineer - Data & AI Security

Business Unit: Store Support Centre (SSC)

Time Type: Full-time

Description & Requirements

The Senior Cybersecurity Engineer is responsible for securing the organization’s AI ecosystem by discovering, assessing, and mitigating risks associated with AI models, data usage, model lifecycle, and AI-driven workflows. This role partners closely with Data Governance, Platform Engineering, and Security Architecture to enable secure and scalable AI adoption while ensuring regulatory, privacy, and corporate policy alignment.

Core responsibilities include:

- Build enterprise security systems implementing centralized authentication, security platforms, and organization‑wide controls.
- Lead comprehensive threat modeling and security assessments for complex systems, evaluating attacker behaviour across integrations and influencing secure design decisions early in the development lifecycle.
- Own end-to-end response for complex security incidents, driving deep root‑cause analysis and delivering 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 SDKs.
- Establish security code standards defining secure coding practices, code review requirements, and implementation quality.

Qualifications

- Bachelor’s degree in Computer Science, Cybersecurity, or related field; security certification strongly preferred.
- 6‑10 years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale.
- Hands‑on experience securing data used by AI systems, including data discovery, classification, access governance, and usage monitoring across cloud data platforms, feature stores, and AI pipelines.
- Experience securing AI and analytics workloads in modern cloud environments, including identity and access controls, service‑to‑service authentication, secrets management,



and policy enforcement across platforms supporting AI/ML development and inference.
- Proven experience implementing enterprise security controls and building security infrastructure including centralized authentication, authorization services, and security policy enforcement systems at scale.
- Track record of writing complex security systems including security platforms and SDKs; experience establishing security code review practices, security checklists, and security development frameworks.
- Demonstrated ability to lead advanced threat modeling for complex systems and to own investigation and resolution of complex security incidents with deep root‑cause analysis.
- Familiarity with DSPM, DLP, or data governance tooling applied to AI use cases is strongly preferred.

Must Haves

- Acknowledge the presence of 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, i.e., don’t take yourself too seriously.

Compensation and Benefits Package

lululemon’s compensation offerings are grounded in a pay‑for‑performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $132,600 - $174,400 annually; the base pay offered is based on market location and may vary depending on job‑related knowledge, skills, experience, and internal equity. As part of our total rewards offering,



permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.

Other components of our total rewards offerings include:

- Extended health and dental benefits, and mental health plans.
- Paid time off.
- Savings and retirement plan matching.
- Parenthood top‑up.
- Extensive catalog of development course offerings.
- People networks, mentorship programs, and leadership series (to name a few).

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

Workplace Arrangement

This role is classified as In‑Person under our SSC Workplace Policy: In‑person collaboration and/or office‑based work is necessary or important for the role. Work is mainly performed onsite, 4‑5 days per week depending on role requirements.

Workplace Policy

Authorization to work in Canada is required for this role.

Equal Employment Opportunity Statement

lulu­l­emon is an Equal Employment Opportunity employer. Employment decisions are based on merit and business needs, and not on race, color, creed, age, sex, gender, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state or provincial and local laws and ordinances. Reasonable accommodation is available for qualified individuals with disabilities, upon request. This Equal Employment Opportunity policy applies to all practices relating to recruitment and hiring, compensation, benefits, discipline, transfer, termination and all other terms and conditions of employment. lulu­l­emon is committed to providing reasonable accommodation to applicants with disabilities.

For individualized support, please contact with the position title, location, and nature of your request.

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Apply on Kit Job: kitjob.ca/job/2g8zd7

📌 Senior Cybersecurity Engineer - AI Security Posture Management (Vancouver)
🏢 lululemon athletica
📍 Vancouver