Senior Cybersecurity Engineer - Data & AI Security

State/Province/City: Washington

City: Seattle

Business Unit: Store Support Centre (SSC)

Core responsibilities: As a Senior Cybersecurity Engineer, you will lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical systems at scale. You will build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation, while applying secure coding practices and rigorous testing and validation. You will partner closely 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. Select 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, or equivalent. Experience with Data Security Posture Management (DSPM), Data Loss Prevention (DLP), AI Security Posture Management (AISPM), or related data security technologies, including data discovery, classification, run time 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. Strong 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. Strong communication and collaboration skills, with the 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.

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, aka doesn't take yourself too seriously.

Please Note: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time for this role. 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 $147,300 - $193,300 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. At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth: Extended health and dental benefits, and mental health plans Paid time off Savings and retirement plan matching Generous employee discount Fitness & yoga classes 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. Apply Now