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4 дня назад

Data Privacy Architect (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Privacy Architect (AI): Designing and governing privacy architecture and technical controls for an AI-powered enterprise experience platform with an accent on privacy by design, regulatory compliance, and full data lifecycle protection. Focus on leading DPIAs, translating GDPR and AI regulations into scalable controls, and governing privacy risks across cloud data systems and AI model lifecycles.

Location: Virtual Office in Ireland with flexible hybrid work options and collaboration onsite in the Galway office.

Company

hirify.global provides an AI-powered experience orchestration platform that connects people, systems, data, and AI for more than 8,000 organizations worldwide.

What you will do

  • Design and enforce privacy-by-design architecture patterns across the platform, including remediation of non-compliant designs.
  • Lead Data Protection Impact Assessments and data flow mapping, translating regulatory obligations into technical controls.
  • Interpret GDPR, CCPA, FedRAMP, the EU AI Act, and emerging AI regulations for architectural decisions.
  • Define and govern data classification, retention, anonymization, deletion, access governance, and secure data flows.
  • Lead privacy and regulatory architecture for internally developed and third-party AI models.
  • Collaborate with Security, Compliance, Legal, Risk, and Engineering teams while maintaining architecture documentation for audits and attestations.

Requirements

  • Strong experience in data, privacy, security, or platform architecture, translating regulatory requirements into scalable technical controls.
  • Strong knowledge of data privacy principles, particularly GDPR, and practical experience with privacy-by-design architecture.
  • Experience leading or contributing to DPIAs and data flow mapping exercises.
  • Understanding of data classification, retention, anonymization or tokenization, deletion, and secure data flows.
  • Experience with cloud platforms, data stores, and Identity and Access Management concepts.
  • Ability to provide technical leadership and challenge designs that do not adequately address privacy or regulatory requirements.

Nice to have

  • Experience with CCPA, FedRAMP, the EU AI Act, and other emerging AI governance frameworks.
  • Experience designing privacy controls for AI and machine learning systems, including training data governance and inference risks.
  • Experience with data lineage and observability capabilities for privacy assessments and regulatory accountability.
  • Hands-on experience with AWS S3, Redshift, Snowflake, or equivalent cloud data technologies.
  • Privacy, security, cloud, or architecture certifications such as CIPT, CIPP/E, CISSP, or AWS/Azure certifications.

Culture & Benefits

  • Flexible work options with hybrid schedules, work-from-home flexibility, and onsite collaboration.
  • Continuous learning, mentoring, leadership development, and education support.
  • Employer-supported pension scheme, annual bonus, private health insurance, and dental coverage.
  • Income protection, life assurance, financial planning resources, and family-friendly policies.
  • Paid volunteer time, August Free Fridays, and well-being programs.

Hiring process

  • Application review by Talent Acquisition and the hiring team.
  • Zoom interview followed by meetings with the hiring manager and interview team.
  • Usually no more than five interviews, followed by communication about the final steps.

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