Data Protection Officer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Protection Officer (Legal/AI): Leading the global privacy program and embedding responsible AI into product development with an accent on compliance frameworks and risk management. Focus on designing Privacy by Design workflows for AI features and ensuring GDPR/CCPA adherence across a global SaaS platform.
Location: Hybrid. Must possess the legal right to work in Estonia without the need for visa sponsorship or relocation assistance.
Company
is a B2B SaaS company providing CRM solutions to help small and medium-sized businesses grow and succeed.
What you will do
- Own and improve the ISO-certified Privacy Program and lead the Privacy Team.
- Monitor and apply privacy compliance requirements across all global locations and points of sale.
- Partner with Product and Engineering teams to embed privacy and responsible AI principles into new features.
- Conduct and supervise DPIAs, LIAs, and TIAs to mitigate compliance risks.
- Provide privacy consultancy at all business levels and manage data breach incident responses.
- Coordinate with data protection authorities and data subjects regarding personal data processing.
Requirements
- Significant international experience in data protection and privacy within a SaaS or technology environment.
- Practical experience as a Data Protection Officer or in a similar statutory privacy role.
- Deep knowledge of GDPR and US privacy regulations (CCPA, CPRA).
- Strong understanding of how AI and machine learning systems use data and their associated privacy considerations.
- Experience applying Privacy by Design principles to software and AI feature development.
- Legal right to work in Estonia without visa sponsorship or relocation assistance.
Nice to have
- Familiarity with ISO 27701 or other privacy certification frameworks.
- CIPP/E, CIPP/US, CIPM or an equivalent privacy certification.
- Knowledge of AI-specific risks such as data leakage and bias in training data.
- Background in data governance or experience with MLOps and data engineering teams.
- Experience in the CRM or B2B SaaS industry.
Culture & Benefits
- People-first culture focusing on authenticity, collaboration, and inclusivity.
- Flexible working hours and wellness perks.
- Performance-based bonuses and stock options.
- 28 days of paid leave, plus well-being and compassionate leave.
- Investment in professional growth through mentorship and coaching.
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