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1 день назад

Privacy Specialist (Cybersecurity)

Формат работы
remote (только Europe/United_states)/hybrid/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Privacy Specialist (Cybersecurity): Managing internal privacy and compliance programs with an accent on policy development, third-party vendor risk assessments, and regulatory adherence. Focus on implementing Privacy by Design, conducting DPIAs/RoPAs, and mitigating privacy risks associated with AI and machine learning models.

Location: United Kingdom (London) or United States (Shakopee, MN). Flexible options: remote, hybrid, or on-site.

Company

An industry leader in identity-centric security solutions serving over 150 countries with scalable technologies.

What you will do

  • Develop, maintain, and periodically review privacy policies, standards, and operating procedures.
  • Manage core privacy processes including DSARs, RoPA, DPIAs, and vendor privacy reviews.
  • Lead privacy-related projects from planning through execution, ensuring timely delivery.
  • Coordinate internal and external audits by gathering documentation and maintaining readiness.
  • Assess Privacy by Design forms and collaborate with cross-functional stakeholders to integrate privacy into products.
  • Manage firmwide privacy communications, training cycles, and reporting dashboards.

Requirements

  • Bachelor’s degree in Legal Studies, Data Privacy/Science, Information Governance, or related field.
  • 2+ years of experience in privacy, compliance, or risk management roles.
  • Working knowledge of GDPR, CCPA, and other global data protection laws.
  • Experience with vendor oversight and workflow tools such as OneTrust, TrustArc, Omnea, JIRA, or ServiceNow.
  • Strong documentation skills and ability to collaborate across global cross-functional teams.

Nice to have

  • Professional certifications such as CIPP/E, CIPP/US, CIPM, or CIPT.
  • Understanding of AI and machine learning models and their associated privacy implications.
  • Ability to interpret numeric data for risk analysis and reporting.

Culture & Benefits

  • Flexible work arrangements including remote, hybrid, or on-site options.
  • Investment in professional growth through learning-forward initiatives.
  • Inclusive environment with global affinity groups and unconscious bias training for leaders.
  • Collaborative culture that values brainstorming and shared ideas.

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